> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# SDK & Tools

> Release notes for the Mem0 Python SDK, TypeScript SDK, Vercel AI SDK, CLI, and editor plugins.

<Tabs>
  <Tab title="Python">
    <Update label="2026-07-13" description="v2.0.12">
      **New Features:**

      * **Memory (OSS):** Accept `text` in `Memory.update()` and `AsyncMemory.update()`. `data` still works but is now deprecated, so prefer `text` in new code ([#6044](https://github.com/mem0ai/mem0/pull/6044))

      **Bug Fixes:**

      * **Core:** Coerce non-string entity IDs (`user_id`, `agent_id`, `run_id`) instead of crashing on `.strip()`, so passing an integer ID no longer raises `AttributeError` ([#6206](https://github.com/mem0ai/mem0/pull/6206))
      * **Core:** Stop requiring `langchain-core` for the default async procedural memory path. The optional dependency is now only imported when you pass a custom LangChain LLM, matching the sync behavior ([#6209](https://github.com/mem0ai/mem0/pull/6209))
      * **Client:** Encode dynamic URL path segments so IDs containing special characters no longer produce malformed requests ([#5963](https://github.com/mem0ai/mem0/pull/5963))
      * **LLMs:** Skip `temperature` and `top_p` for newer Anthropic models that reject sampling parameters. Detection is automatic per model family and version, and the new `enable_sampling_parameters` config flag overrides it ([#6211](https://github.com/mem0ai/mem0/pull/6211))
      * **Vector Stores:** Stop writing internal `OutputData` model fields as properties on Weaviate `update()` ([#6149](https://github.com/mem0ai/mem0/pull/6149))
      * **Vector Stores:** Improve wildcard search handling in Milvus ([#6187](https://github.com/mem0ai/mem0/pull/6187))
      * **Vector Stores:** Keep env-resolved Upstash Vector credentials after config validation. An env-var-only config previously passed validation and then failed to build ([#5811](https://github.com/mem0ai/mem0/pull/5811))
      * **Vector Stores:** Restore the previous payload when a Neptune Analytics vector upsert fails inside `update()`, so a partial write can no longer leave the payload and embedding out of sync ([#5824](https://github.com/mem0ai/mem0/pull/5824))

      **Changes:**

      * **LLMs:** The Together default model is now `MiniMaxAI/MiniMax-M3` (was `mistralai/Mixtral-8x7B-Instruct-v0.1`) ([#6049](https://github.com/mem0ai/mem0/pull/6049))
      * **LLMs:** The xAI default model is now `grok-4.3` (was `grok-2-latest`) ([#6115](https://github.com/mem0ai/mem0/pull/6115))
      * **Embeddings:** The Together default embedding model is now `intfloat/multilingual-e5-large-instruct` at 1024 dimensions (was `togethercomputer/m2-bert-80M-8k-retrieval` at 768). If you use the Together embedder without pinning `model`, existing vectors were written at the old dimension: either re-embed them, or pin `model` and `embedding_dims` to the old values ([#5989](https://github.com/mem0ai/mem0/pull/5989))
      * **Rerankers:** The Cohere default rerank model is now `rerank-v3.5` (was `rerank-english-v3.0`) ([#6055](https://github.com/mem0ai/mem0/pull/6055))

      **Security:**

      * **Vector Stores:** Fix SQL and Cypher injection vulnerabilities in the PGVector, Azure MySQL, and Neptune providers ([#4878](https://github.com/mem0ai/mem0/pull/4878))
      * **Vector Stores:** Validate Elasticsearch filter keys and values to prevent term query injection ([#5980](https://github.com/mem0ai/mem0/pull/5980))
      * **Dependencies:** Require `transformers>=5.3.0` to remediate GHSA-29pf-2h5f-8g72 (CVE-2026-4372) ([#6110](https://github.com/mem0ai/mem0/pull/6110))
    </Update>

    <Update label="2026-07-01" description="v2.0.11">
      **Bug Fixes:**

      * **Embeddings:** Guard against an `embed_batch` count mismatch in the OpenAI and Azure OpenAI embedders ([#5966](https://github.com/mem0ai/mem0/pull/5966))
      * **Memory:** Re-raise LLM extraction failures instead of silently returning `[]` ([#5878](https://github.com/mem0ai/mem0/pull/5878))
      * **Vector Stores:** Normalize vectors for the cosine distance strategy in FAISS ([#5960](https://github.com/mem0ai/mem0/pull/5960))

      **Security:**

      * **Vector Stores:** Validate OpenSearch filter values to prevent term query injection ([#5986](https://github.com/mem0ai/mem0/pull/5986))
      * **Vector Stores:** Validate value types and escape quotes in Azure AI Search OData filters ([#5983](https://github.com/mem0ai/mem0/pull/5983))
      * **Vector Stores:** Validate Databricks catalog/schema/table identifiers to prevent SQL injection ([#5988](https://github.com/mem0ai/mem0/pull/5988))
      * **Graph:** Escape Neptune filter values in openCypher queries to prevent injection ([#5982](https://github.com/mem0ai/mem0/pull/5982))
    </Update>

    <Update label="2026-06-27" description="v2.0.10">
      **New Features:**

      * **Client:** Expose `expiration_date` on `MemoryClient.update()` and `AsyncMemoryClient.update()`: callers can now set or clear a memory's expiration date; `None` is preserved and forwarded to the API ([#5874](https://github.com/mem0ai/mem0/pull/5874))

      **Bug Fixes:**

      * **Memory (OSS):** Apply `remove_code_blocks()` to the LangChain path in async `_create_procedural_memory` so code fences are stripped consistently ([#5711](https://github.com/mem0ai/mem0/pull/5711))
      * **Rerankers:** Score HuggingFace cross-encoder results with per-document sigmoid instead of set-relative min-max, preventing a single low-score document from collapsing all relevance scores to zero ([#5715](https://github.com/mem0ai/mem0/pull/5715))
      * **Core:** Validate and trim entity IDs (`user_id`, `agent_id`, `run_id`) in `delete_all()` for both sync and async `Memory` ([#5735](https://github.com/mem0ai/mem0/pull/5735))
      * **Vector Stores:** Use `.get()` for `hash` and `created_at` in the Redis `insert()` and `update()` paths so entity payloads that omit those fields no longer raise `KeyError` ([#5709](https://github.com/mem0ai/mem0/pull/5709))
      * **Memory:** Fix scale-threshold notices not firing for Redis and search-engine backends by resolving `col_info()` signature differences and adding `num_docs` to the count-extraction lookup ([#5687](https://github.com/mem0ai/mem0/pull/5687))
      * **Vector Stores:** Escape special characters in Valkey FT.SEARCH tag filter values to prevent wildcard and operator injection through tenant-isolation filters ([#5750](https://github.com/mem0ai/mem0/pull/5750))
    </Update>

    <Update label="2026-06-24" description="v2.0.9">
      **Bug Fixes:**

      * **Memory (OSS):** Improve entity extraction precision by avoiding sentence-start common noun noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ([#5829](https://github.com/mem0ai/mem0/pull/5829))
    </Update>

    <Update label="2026-06-24" description="v2.0.8">
      **New Features:**

      * **Embeddings:** Add native `embed_batch` to five embedders: LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI: for batched embedding requests ([#5609](https://github.com/mem0ai/mem0/pull/5609))

      **Bug Fixes:**

      * **Core:** Guard against malformed `image_url` entries in `parse_vision_messages` to prevent crashes ([#5631](https://github.com/mem0ai/mem0/pull/5631))
      * **Core:** Return `attributed_to` from `get()`, `get_all()`, and `search()` ([#5629](https://github.com/mem0ai/mem0/pull/5629))
      * **Core:** Fix `reset()` only dropping the history table and leaving stale messages behind ([#5541](https://github.com/mem0ai/mem0/pull/5541))
      * **Core:** Guard against an entity `embed_batch` count mismatch in the v3 add pipeline ([#5604](https://github.com/mem0ai/mem0/pull/5604))
      * **Core:** Fix an async `delete_all` race condition that corrupted the entity store's `linked_memory_ids` ([#5553](https://github.com/mem0ai/mem0/pull/5553))
      * **LLMs:** Skip the JSON `response_format` for Groq compound models that reject it ([#5513](https://github.com/mem0ai/mem0/pull/5513))
      * **LLMs:** Preserve reasoning fields during base-to-provider config conversion ([#5638](https://github.com/mem0ai/mem0/pull/5638))
      * **LLMs:** Pass the configured `anthropic_base_url` to the Anthropic client ([#5626](https://github.com/mem0ai/mem0/pull/5626))
      * **LLMs:** Stop the Azure provider from mutating and corrupting caller messages during content rewrite ([#5731](https://github.com/mem0ai/mem0/pull/5731))
      * **LLMs & Embeddings:** Repair HTTP proxy support for `httpx>=0.28` and preserve `proxies` in `LlmFactory` ([#5447](https://github.com/mem0ai/mem0/pull/5447))
      * **Embeddings:** Forward `embedding_dims` to Titan V2 in the AWS Bedrock embedder ([#5671](https://github.com/mem0ai/mem0/pull/5671))
      * **Rerankers:** Log reranking failures instead of swallowing them silently ([#5717](https://github.com/mem0ai/mem0/pull/5717))
      * **Rerankers:** Clamp out-of-range LLM scores instead of mis-parsing them ([#5635](https://github.com/mem0ai/mem0/pull/5635))
      * **Rerankers:** Export all five rerankers from the package root ([#5636](https://github.com/mem0ai/mem0/pull/5636))
      * **Vector Stores:** Point the FastEmbed-missing warning at `mem0ai[extras]` ([#5622](https://github.com/mem0ai/mem0/pull/5622))
      * **Vector Stores:** Preserve empty Azure AI Search update values ([#5524](https://github.com/mem0ai/mem0/pull/5524))
      * **Vector Stores:** Add an `auto_refresh` option for OpenSearch Serverless compatibility ([#3893](https://github.com/mem0ai/mem0/pull/3893))
      * **Vector Stores:** Wrap a scalar `vector_id` in a list for Chroma `delete()` ([#5703](https://github.com/mem0ai/mem0/pull/5703))
      * **Vector Stores:** Wrap Chroma `update()` ids, embeddings, and metadatas in lists ([#5757](https://github.com/mem0ai/mem0/pull/5757))
      * **Vector Stores:** Wrap a scalar `vector_id` in a list for Milvus `delete()` ([#5704](https://github.com/mem0ai/mem0/pull/5704))
      * **Vector Stores:** Map all comparison operators in the Pinecone `_create_filter()` ([#5707](https://github.com/mem0ai/mem0/pull/5707))
      * **Vector Stores:** Return `None` instead of `{}` from Chroma `_generate_where_clause` for empty filters ([#5713](https://github.com/mem0ai/mem0/pull/5713))
      * **Vector Stores:** Return `[[]]` from the OpenSearch `list()` error path to honor the `list()` contract ([#5727](https://github.com/mem0ai/mem0/pull/5727))
      * **Vector Stores:** Return `[[]]` from the Pinecone `list()` error path instead of a dict ([#5706](https://github.com/mem0ai/mem0/pull/5706))
      * **Vector Stores:** Return `[[]]` for an uninitialized FAISS index to honor the `list()` contract ([#5725](https://github.com/mem0ai/mem0/pull/5725))
      * **Vector Stores:** Wrap the MongoDB `list()` return in an outer list to match the interface contract ([#5729](https://github.com/mem0ai/mem0/pull/5729))
      * **Vector Stores:** Deep-copy Redis `DEFAULT_FIELDS` so instances keep distinct dims ([#5633](https://github.com/mem0ai/mem0/pull/5633))
      * **Vector Stores:** Pass the required `vectors` arg in Vertex AI `list()` and similarity search ([#5627](https://github.com/mem0ai/mem0/pull/5627))
      * **Vector Stores:** Return `None` from Redis `get()` for missing IDs ([#5625](https://github.com/mem0ai/mem0/pull/5625))
      * **Vector Stores:** Drop a stray `print` in Weaviate `list_cols` ([#5637](https://github.com/mem0ai/mem0/pull/5637))
      * **Graph:** Keep distinct entities that share a substring prefix ([#5630](https://github.com/mem0ai/mem0/pull/5630))
      * **Client:** Check the HTTP status before parsing the ping response in `_validate_api_key` ([#5639](https://github.com/mem0ai/mem0/pull/5639))
      * **Server:** Fetch filtered dashboard memories beyond the default page ([#5753](https://github.com/mem0ai/mem0/pull/5753))
      * **Server:** Return 404/400 instead of 502 for not-found and invalid input ([#5634](https://github.com/mem0ai/mem0/pull/5634))
      * **Server:** Return 404 instead of 500 for a malformed API key id on revoke ([#5640](https://github.com/mem0ai/mem0/pull/5640))
      * **Server:** Use `127.0.0.1` in the dashboard healthcheck to avoid IPv6 localhost resolution ([#5612](https://github.com/mem0ai/mem0/pull/5612))

      **Improvements:**

      * **Vector Stores:** Batch BM25 sparse encoding in Qdrant insert ([#5592](https://github.com/mem0ai/mem0/pull/5592))

      **Security:**

      * **Vector Stores:** Sanitize Milvus and Baidu filter values to prevent expression injection ([#5746](https://github.com/mem0ai/mem0/pull/5746))
      * **Vector Stores:** Reject dict filter values in MongoDB to prevent NoSQL operator injection ([#5748](https://github.com/mem0ai/mem0/pull/5748))
    </Update>

    <Update label="2026-06-17" description="v2.0.7">
      **New Features:**

      * **LLMs:** Add Gemini via Vertex AI as LLM provider ([#4030](https://github.com/mem0ai/mem0/pull/4030))
      * **Embeddings:** Add native `embed_batch` to `OllamaEmbedding` for batched embedding requests ([#5415](https://github.com/mem0ai/mem0/pull/5415))

      **Bug Fixes:**

      * **Core:** Fix `api_error_handler` silently dropping return values from async methods ([#5540](https://github.com/mem0ai/mem0/pull/5540))
      * **Core:** Fix `AsyncMemory.reset()` not resetting the entity store ([#5535](https://github.com/mem0ai/mem0/pull/5535))
      * **Core:** Fix `async delete_all` aborting on first error, leaving partial deletion ([#5529](https://github.com/mem0ai/mem0/pull/5529))
      * **Core:** Skip messages without a `content` key in message parsers to prevent `KeyError` crashes ([#5575](https://github.com/mem0ai/mem0/pull/5575))
      * **Core:** Preserve custom metadata fields during memory update ([#5480](https://github.com/mem0ai/mem0/pull/5480))
      * **LLMs:** Fix Anthropic `tool_choice` format and tool response parsing ([#5537](https://github.com/mem0ai/mem0/pull/5537))
      * **LLMs:** Fix Ollama `json` format mutating the caller's messages list in-place ([#5539](https://github.com/mem0ai/mem0/pull/5539))
      * **LLMs:** Omit `None` config values from Gemini `GenerateContentConfig` to prevent validation errors ([#5528](https://github.com/mem0ai/mem0/pull/5528))
      * **LLMs:** Honor reasoning-model params in `AzureOpenAIStructuredLLM` ([#5548](https://github.com/mem0ai/mem0/pull/5548))
      * **LLMs:** Honor reasoning-model params in `OpenAIStructuredLLM` ([#5458](https://github.com/mem0ai/mem0/pull/5458))
      * **LLMs:** Send `max_completion_tokens` for the GPT-5 family across all providers ([#5547](https://github.com/mem0ai/mem0/pull/5547))
      * **LLMs:** Accept and forward `**kwargs` in Together, LangChain, and Sarvam providers ([#5556](https://github.com/mem0ai/mem0/pull/5556))
      * **LLMs:** Fix Bedrock AI21 response parse default using `dict` literal instead of `set` ([#5527](https://github.com/mem0ai/mem0/pull/5527))
      * **LLMs:** Fix LiteLLM function-calling check blocking all calls on non-tool models ([#5536](https://github.com/mem0ai/mem0/pull/5536))
      * **LLMs:** Fix HuggingFace provider using `self.config` instead of raw `config` parameter ([#5538](https://github.com/mem0ai/mem0/pull/5538))
      * **Embeddings:** Honor `aws_session_token` in AWS Bedrock embeddings ([#5566](https://github.com/mem0ai/mem0/pull/5566))
      * **Rerankers:** Respect `config.top_k` in Cohere and ZeroEntropy fallback paths ([#5560](https://github.com/mem0ai/mem0/pull/5560))
      * **Vector Stores:** Fix FAISS filtered search dropping over-fetched candidates before filtering ([#5453](https://github.com/mem0ai/mem0/pull/5453))
      * **Vector Stores:** Fix Weaviate `reset()` crashing with missing `vector_size` argument ([#5531](https://github.com/mem0ai/mem0/pull/5531))
      * **Vector Stores:** Pass embedding dims in Weaviate `reset()` to avoid re-init crash ([#5570](https://github.com/mem0ai/mem0/pull/5570))
      * **Vector Stores:** Fix MongoDB `reset()` passing wrong argument to `create_col()` ([#5532](https://github.com/mem0ai/mem0/pull/5532))
      * **Vector Stores:** Fix Pinecone hybrid search crashing when `filters` is `None` ([#5533](https://github.com/mem0ai/mem0/pull/5533))
      * **Vector Stores:** Fix Redis crashing on empty or `None` filters in `search()` and `list()` ([#5446](https://github.com/mem0ai/mem0/pull/5446))
      * **Vector Stores:** Return `None` from `get()` for missing IDs in Milvus, Weaviate, and Supabase ([#5562](https://github.com/mem0ai/mem0/pull/5562))
      * **Vector Stores:** Return `None` from ChromaDB `get()` for missing IDs ([#5561](https://github.com/mem0ai/mem0/pull/5561))
    </Update>

    <Update label="2026-06-13" description="v2.0.6">
      **New Features:**

      * **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))

      **Bug Fixes:**

      * **Memory:** Prevent a crash in `parse_vision_messages` when vision support is disabled ([#5487](https://github.com/mem0ai/mem0/pull/5487))
      * **Vector Stores:** Expose the `https` option on the Qdrant vector store configuration so TLS endpoints can be targeted explicitly ([#5380](https://github.com/mem0ai/mem0/pull/5380))
      * **Vector Stores:** Use valid S3 Vectors entity index names, fixing index operations that failed on invalid names ([#5416](https://github.com/mem0ai/mem0/pull/5416))
      * **Vector Stores:** Fix `search()` crashing with a `TypeError` in the LangChain vector store when a result score is `None` ([#5072](https://github.com/mem0ai/mem0/pull/5072))
      * **Vector Stores:** Use `is not None` instead of a truthiness check for vector/payload in the PGVector `update()` path, so valid empty/zero values are no longer skipped ([#5488](https://github.com/mem0ai/mem0/pull/5488))
      * **Vector Stores:** Index the Valkey `memory` field as `TEXT` rather than `TAG` so full-text search behaves correctly ([#5443](https://github.com/mem0ai/mem0/pull/5443))
      * **Vector Stores:** Implement `$not` filter support in the ChromaDB vector store ([#5485](https://github.com/mem0ai/mem0/pull/5485))
    </Update>

    <Update label="2026-06-10" description="v2.0.5">
      **New Features:**

      * **Memory:** Warn at init time when hybrid/BM25 search silently degrades to semantic-only because the configured vector store does not implement `keyword_search`. Affected stores: Chroma, FAISS, Cassandra, LangChain, Neptune Analytics, S3 Vectors, Supabase, TurboPuffer, Valkey ([#5444](https://github.com/mem0ai/mem0/pull/5444))
      * **Memory:** Add opt-in `explain=True` parameter to `Memory.search()` and `AsyncMemory.search()`. When enabled, each result includes a `score_details` dict with `semantic_score`, `bm25_score`, `entity_boost`, `raw_score`, `max_possible_score`, `final_score`, and `threshold` so callers can understand and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))

      **Bug Fixes:**

      * **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better) consistently across all backends. 11 adapters previously returned raw distance metrics (lower = better): FAISS, Chroma, Milvus, Redis, Cassandra, PGVector, S3 Vectors, Supabase, Valkey, Azure MySQL, and Vertex AI Vector Search: causing incorrect ranking in multi-store setups ([#5391](https://github.com/mem0ai/mem0/pull/5391))
      * **Memory:** Parallelize entity boost searches in `Memory.search()` and `AsyncMemory.search()`. Previously up to 8 entities were embedded and queried sequentially (16 serial round-trips with remote embedders); all entity lookups now run concurrently, eliminating multi-second latency on entity-rich queries ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Memory:** Reject empty or whitespace-only queries in `Memory.search()`, `AsyncMemory.search()`, `MemoryClient.search()`, and `AsyncMemoryClient.search()` before any embedding or API call is made. Also strips leading/trailing whitespace from valid queries ([#5258](https://github.com/mem0ai/mem0/pull/5258))
      * **LLMs:** Add `is_reasoning_model: Optional[bool]` override to `BaseLlmConfig` (surfaced on `OpenAILlmConfig` and `AzureOpenAILlmConfig`). Fixes silent zero-extraction when using Azure deployments with versioned `gpt-5.x` names that the automatic name-based heuristic cannot recognize ([#5327](https://github.com/mem0ai/mem0/pull/5327))
      * **LLMs:** Fix xAI LLM provider: add `XAIConfig` with `xai_base_url`, forward `tools`/`tool_choice` in `generate_response()`, and parse `tool_calls` in the response. Previously the provider raised `AttributeError` at init and silently dropped tool results ([#5190](https://github.com/mem0ai/mem0/pull/5190))
      * **Vector Stores:** Fix PGVector `ConnectionPool` hang in Docker Compose environments where the app container starts before Postgres is DNS-resolvable: switched to `open=False` to avoid blocking constructor or silent zombie pool ([#5155](https://github.com/mem0ai/mem0/pull/5155))
      * **Vector Stores:** Fix PGVector `sslmode` handling for PostgreSQL URIs: the `sslmode` query parameter is now correctly extracted and forwarded when building the async connection pool ([#5308](https://github.com/mem0ai/mem0/pull/5308))
      * **Vector Stores:** Fix S3 Vectors `list()` not applying metadata filters: filtering is now done client-side after fetching, with pagination preserved and `top_k` applied after filtering to prevent pre-truncation of matching rows ([#5018](https://github.com/mem0ai/mem0/pull/5018))
      * **Vector Stores:** Fix Upstash Vector `search()` routing all queries to the default namespace: `namespace` is now passed as a top-level keyword argument to `query_many()` instead of inside the per-query dict where it was silently ignored ([#5202](https://github.com/mem0ai/mem0/pull/5202))
      * **Core:** Replace mutable default arguments with `None` sentinels in embedder configs and the proxy module, preventing cross-request state contamination ([#5302](https://github.com/mem0ai/mem0/pull/5302))
    </Update>

    <Update label="2026-05-27" description="v2.0.4">
      **New Features:**

      * **Client:** `delete()` and async `delete()` accept `delete_linked` (default `False`). When `True`, deleting a memory also removes the older memories it superseded (the v3 `linked_memory_ids` chain), transitively: the delete-side counterpart of `latest_only`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
    </Update>

    <Update label="2026-05-26" description="v2.0.3">
      **Bug Fixes:**

      * **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keyword_search()`, and `list()`. Previously only exact-equality filters worked: operator dicts were silently stringified and returned zero results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
      * **Server:** Fixed `/search` endpoint returning 502 when `user_id`, `agent_id`, or `run_id` are sent as top-level request fields. The server now maps these into the `filters` dict before calling `Memory.search()`, matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log: clients should migrate to `filters={"user_id": "..."}` ([#5263](https://github.com/mem0ai/mem0/pull/5263))
    </Update>

    <Update label="2026-05-08" description="v2.0.2">
      **Bug Fixes:**

      * **Telemetry:** Stitch OSS and platform PostHog identities on `MemoryClient` init so `$identify` events fire and a single user is no longer tracked as two or three disconnected personas ([#5040](https://github.com/mem0ai/mem0/pull/5040))
      * **Security:** Harden against SQL injection and prompt injection ([#4997](https://github.com/mem0ai/mem0/pull/4997))

      **New Features:**

      * **SDK:** Expose `decay` on `project.update` ([#5062](https://github.com/mem0ai/mem0/pull/5062))

      **Improvements:**

      * **Plugin:** Hand `mem0` search decisions to the agent ([#4992](https://github.com/mem0ai/mem0/pull/4992))
    </Update>

    <Update label="2026-04-25" description="v2.0.1">
      **Bug Fixes:**

      * **Client:** Map `user_id`, `agent_id`, `run_id` entity params to filters in `GET /memories` ([#4960](https://github.com/mem0ai/mem0/pull/4960))
      * **Memory:** Honor `prompt` param in vector store extraction pipeline ([#4914](https://github.com/mem0ai/mem0/pull/4914))
      * **Memory:** Add missing `text_lemmatized` field in `AsyncMemory._create_memory` ([#4886](https://github.com/mem0ai/mem0/pull/4886))
      * **Memory:** Merge same-key operator dicts in AND metadata filters ([#4853](https://github.com/mem0ai/mem0/pull/4853))
      * **LLMs:** Narrow `_is_reasoning_model` check to not match `gpt-5.x` variants ([#4746](https://github.com/mem0ai/mem0/pull/4746))
      * **Vector Stores:** Add `ca_certs` config option for Elasticsearch vector store ([#3993](https://github.com/mem0ai/mem0/pull/3993))
      * **Vector Stores:** Add `agent_id` and `run_id` to Elasticsearch/OpenSearch default mappings ([#4906](https://github.com/mem0ai/mem0/pull/4906))
      * **Embeddings:** Set FastEmbed `embedding_dims` from model metadata at init ([#4711](https://github.com/mem0ai/mem0/pull/4711))

      **Security:**

      * Bump vulnerable dependencies to patched versions ([#4835](https://github.com/mem0ai/mem0/pull/4835))
    </Update>

    <Update label="2026-04-14" description="v2.0.0">
      **Major Release**: Python SDK with V3 memory pipeline, ADD-only extraction, and cleaned-up API surface.

      **New Features:**

      * **Single-Pass Extraction:** Replaced 2-LLM-call pipeline with additive extraction using `ADDITIVE_EXTRACTION_PROMPT`. Memories accumulate via `linked_memory_ids`: no more UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Hybrid Search:** Combined semantic + BM25 keyword matching + entity boost with additive scoring. Native `keyword_search()` added to 15 vector store adapters (Qdrant, Elasticsearch, OpenSearch, Azure AI Search, Weaviate, Redis, PGVector, Pinecone, Databricks, MongoDB, Milvus, Baidu, Upstash, Azure MySQL, Vertex AI) ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Entity Extraction & Linking:** spaCy-based entity extraction with second vector collection (`{collection}_entities`) for cross-memory relationship retrieval. Optional dependency: `pip install mem0ai[nlp]` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Batch Operations:** Batch embedding, batch persist, and batch entity linking (8-phase pipeline) for both sync `Memory` and async `AsyncMemory` at full parity ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Message Persistence:** SQLite-based rolling window (10 messages per session scope) for LLM context ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Valkey Cluster Mode:** Added `cluster_mode` parameter for Valkey Cluster Mode Enabled (CME) deployments ([#4759](https://github.com/mem0ai/mem0/pull/4759))
      * **V3 API Endpoints:** `MemoryClient.add()` now posts to `/v3/memories/add/`; `MemoryClient.get_all()` posts to `/v3/memories/` and returns a paginated envelope `{"count": int, "next": str | None, "previous": str | None, "results": [...]}` ([#4856](https://github.com/mem0ai/mem0/pull/4856))
      * **Default model:** `gpt-5-mini` is now the default across `OpenAILLM`, `OpenAIStructuredLLM`, `AzureOpenAILLM`, `AzureOpenAIStructuredLLM`, and `LiteLLM` fallback ([#4829](https://github.com/mem0ai/mem0/pull/4829))

      **Breaking Changes:**

      * **`add()` returns ADD-only events**: No more `"UPDATE"` or `"DELETE"` events. Memories accumulate; nothing is overwritten ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`search()` default `threshold` is now `0.1`**: Pass `threshold=0.0` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`search()` `score` is now a combined multi-signal score**: The top-level `score` fuses semantic similarity, BM25 keyword match, entity signals, and temporal boosts into one value. Absolute numbers shift versus the old raw cosine score; retune any hard thresholds against representative queries ([#4805](https://github.com/mem0ai/mem0/pull/4805), [#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **`search()` default `rerank` is now `False`**: Pass `rerank=True` for previous behavior ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`top_k` default changed 100 → 20** in `Memory.get_all()` and `Memory.search()` (sync + async). Pass `top_k=100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Entity ID validation:** `user_id` / `agent_id` / `run_id` are trimmed; empty-string and whitespace-only values now raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Search params validation:** `threshold` must be a number in `[0, 1]`; `top_k` must be a non-negative integer: invalid inputs raise `ValueError` ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`messages` in `Memory.add()` rejects invalid types:** Passing `None` or non-`(str | dict | list)` values raises `Mem0ValidationError` (`error_code="VALIDATION_003"`) ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`qdrant-client>=1.12.0` required**: Upgrade from `>=1.9.1` ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`org_id` and `project_id` removed**: Removed from `MemoryClient` constructor and all method signatures ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **External Graph Store Removed (OSS):** `mem0/memory/graph_memory.py`, `memgraph_memory.py`, `kuzu_memory.py`, `apache_age_memory.py`, and `mem0/graphs/` (Neo4j / Memgraph / Kuzu / Apache AGE / Neptune drivers) deleted, about 4,000 lines. The external graph store integration is no longer part of the OSS SDK; graph drivers (neo4j, memgraph, kuzu, etc.) can be uninstalled. Graph memory now runs natively as built-in entity linking. Remove `enable_graph` and `graph_store` from your config ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **`enable_graph` removed from Client SDK:** Graph memory now runs automatically and no longer needs a flag. Remove `enable_graph` from `MemoryClient.add()` / `search()` / `get_all()` / `update_project()` calls ([#4776](https://github.com/mem0ai/mem0/pull/4776))
      * **`custom_fact_extraction_prompt` renamed to `custom_instructions`**: Update config and memory module references ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **Typed option classes**: Added Pydantic v2 typed classes: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions`, `UpdateMemoryOptions`, `ProjectUpdateOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))

      **Security:**

      * **FAISS:** Prevent arbitrary code execution via pickle deserialization in `FAISS` vector store ([#4833](https://github.com/mem0ai/mem0/pull/4833))

      **Bug Fixes:**

      * **V3 migration crashes:** Fixed crashes in the v3 migration path; entity linking on OSS is now functional across Qdrant and Milvus backends ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **Qdrant entity store:** Entity store now shares the existing Qdrant client when using embedded mode (`path=...`), eliminating RocksDB lock contention between the main and entity collections ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **Reranker:** Fixed incorrect use of SentenceTransformer for cross-encoder reranker models: switched to CrossEncoder API for proper scoring ([#4806](https://github.com/mem0ai/mem0/pull/4806))
      * **S3 Vectors:** Handle `vector=None` in `update()` to prevent boto3 validation error when `event=NONE` ([#4594](https://github.com/mem0ai/mem0/pull/4594))
      * **LLMs:** Made OpenAI `store` parameter opt-in to prevent leaking to non-OpenAI backends like Google Gemini ([#4757](https://github.com/mem0ai/mem0/pull/4757))
      * **LLMs:** Forward `response_format` to Azure OpenAI API to prevent JSON parsing failures ([#4689](https://github.com/mem0ai/mem0/pull/4689))
      * **Core:** Guard `temp_uuid_mapping` lookups against LLM-hallucinated IDs with safe `.get()` and warnings ([#4674](https://github.com/mem0ai/mem0/pull/4674))
      * **Client:** Prevent `MemoryClient.feedback()` telemetry TypeError by merging feedback data into single payload ([#4795](https://github.com/mem0ai/mem0/pull/4795))

      **Improvements:**

      * **Telemetry:** Sample OSS hot-path events at 10% via PostHog `before_send` hook to reduce event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))

      See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-v3) and [Platform migration guide](https://docs.mem0.ai/migration/platform-v2-to-v3) for upgrade instructions.
    </Update>

    <Update label="2026-04-06" description="v1.0.11">
      **New Features & Updates:**

      * **SDK:** Added `multilingual` parameter to project update ([#4314](https://github.com/mem0ai/mem0/pull/4314))

      **Bug Fixes:**

      * **LLMs:** Fixed Groq model configuration ([#4700](https://github.com/mem0ai/mem0/pull/4700))
      * **Core:** Prevented thread and memory leaks from PostHog telemetry ([#4535](https://github.com/mem0ai/mem0/pull/4535))
      * **Vector Stores:** Used `DatetimeRange` for datetime string values in Qdrant range filters ([#4659](https://github.com/mem0ai/mem0/pull/4659))
      * **Configs:** Added missing `ConfigDict` to vector store configs (Elasticsearch, MongoDB, Neptune, OpenSearch, PGVector, Supabase, Valkey) ([#4656](https://github.com/mem0ai/mem0/pull/4656))
    </Update>

    <Update label="2026-04-01" description="v1.0.10">
      **New Features & Updates:**

      * **LLMs:** Added MiniMax provider support for AWS Bedrock ([#4609](https://github.com/mem0ai/mem0/pull/4609))

      **Bug Fixes:**

      * **Configs:** Migrated CassandraConfig and AzureMySQLConfig to pydantic v2 ConfigDict ([#4646](https://github.com/mem0ai/mem0/pull/4646))
      * **LLMs:** Forward `response_format` to OpenAI-compatible API for DeepSeek ([#4635](https://github.com/mem0ai/mem0/pull/4635))
      * **LLMs:** Forward `response_format` to OpenAI-compatible API for vLLM ([#4608](https://github.com/mem0ai/mem0/pull/4608))
      * **Vector Stores:** Only list authorized collections when listing MongoDB collections ([#3888](https://github.com/mem0ai/mem0/pull/3888))
      * **Core:** Reset graph database in `Memory.reset()` ([#4185](https://github.com/mem0ai/mem0/pull/4185))
      * **Core:** Make `AsyncMemory.from_config` a regular classmethod ([#4183](https://github.com/mem0ai/mem0/pull/4183))
    </Update>

    <Update label="2026-03-28" description="v1.0.9">
      **New Features & Updates:**

      * **LLMs:** Added `reasoning_effort` parameter support for reasoning models ([#4461](https://github.com/mem0ai/mem0/pull/4461))

      **Bug Fixes:**

      * **Core:** Preserved original `actor_id` during memory update ([#4570](https://github.com/mem0ai/mem0/pull/4570))
      * **Core:** Set `updated_at` on creation and preserve pre-existing `created_at` ([#4499](https://github.com/mem0ai/mem0/pull/4499))
      * **Core:** Centralized entity cleanup and skip malformed LLM relation dicts ([#4515](https://github.com/mem0ai/mem0/pull/4515))
      * **Core:** Removed `README.md` from wheel shared-data ([#4052](https://github.com/mem0ai/mem0/pull/4052))
      * **Vector Stores:** Handled `vector=None` in Milvus and Qdrant update methods ([#4568](https://github.com/mem0ai/mem0/pull/4568))
      * **Vector Stores:** Rebuilt FAISS index on vector deletion ([#4178](https://github.com/mem0ai/mem0/pull/4178))

      **Improvements:**

      * **Embeddings:** Updated default Gemini and Vertex AI embedder model to `gemini-embedding-001` ([#4571](https://github.com/mem0ai/mem0/pull/4571))
    </Update>

    <Update label="2026-03-26" description="v1.0.8">
      **New Features & Updates:**

      * **Vector Stores:** Integrated Turbopuffer as a vector database provider ([#4428](https://github.com/mem0ai/mem0/pull/4428))
      * **LLMs:** Added MiniMax LLM provider ([#4431](https://github.com/mem0ai/mem0/pull/4431))

      **Bug Fixes:**

      * **Core:** Fixed merging of multiple filter operators for the same key ([#4559](https://github.com/mem0ai/mem0/pull/4559))
      * **Core:** Prevented in-place mutation of metadata in `_create_memory` ([#4529](https://github.com/mem0ai/mem0/pull/4529))
      * **Core:** Preserved custom metadata when updating memory ([#4495](https://github.com/mem0ai/mem0/pull/4495))
      * **Core:** Handled chatty LLM responses in JSON parsing ([#4525](https://github.com/mem0ai/mem0/pull/4525))
      * **Core:** Prevented double embedding in `mem0.add` ([#3996](https://github.com/mem0ai/mem0/pull/3996))
      * **Core:** Raised `ValueError` when deleting nonexistent memory ([#4455](https://github.com/mem0ai/mem0/pull/4455))
      * **Core:** Cleaned up graph store data on `Memory.delete()` ([#4505](https://github.com/mem0ai/mem0/pull/4505))
      * **Vector Stores:** Prevented SQL injection in Databricks vector store ([#4558](https://github.com/mem0ai/mem0/pull/4558))
      * **Vector Stores:** Upgraded MongoDB vector store from deprecated `knnVector` to GA `vectorSearch` ([#3995](https://github.com/mem0ai/mem0/pull/3995))
      * **Vector Stores:** Prevented embedding corruption in Valkey and Redis when vector is `None` ([#4362](https://github.com/mem0ai/mem0/pull/4362))
      * **Vector Stores:** Accepted default `/tmp/chroma` path in `ChromaDbConfig` validator ([#4179](https://github.com/mem0ai/mem0/pull/4179))
      * **Vector Stores:** Wrapped vector and payload in lists for `Langchain.update` ([#4446](https://github.com/mem0ai/mem0/pull/4446))
      * **Graph:** Soft-delete graph relationships instead of hard `DELETE` ([#4188](https://github.com/mem0ai/mem0/pull/4188))
      * **Graph:** Sanitized hyphens in Neo4j Cypher relationship names ([#4154](https://github.com/mem0ai/mem0/pull/4154))
      * **Graph:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
      * **Qdrant:** Fixed `do not remove local path on init` ([#4475](https://github.com/mem0ai/mem0/pull/4475))
      * **Qdrant:** Implemented enhanced metadata filtering operators ([#4127](https://github.com/mem0ai/mem0/pull/4127))
      * **Embeddings:** Fixed OpenAI embedding dimensions ([#4481](https://github.com/mem0ai/mem0/pull/4481))
      * **LLMs:** Omitted `topP` for Anthropic Converse in Bedrock; used `AWSBedrockConfig` in `LlmFactory` ([#4469](https://github.com/mem0ai/mem0/pull/4469))
      * **LLMs:** Avoided sending both `temperature` and `top_p` to Anthropic API ([#4471](https://github.com/mem0ai/mem0/pull/4471))
      * **LLMs:** Handled `None` content and empty candidates in `GeminiLLM` parsing ([#4462](https://github.com/mem0ai/mem0/pull/4462))
      * **LLMs:** Added missing `_parse_response` to `AzureOpenAIStructuredLLM` ([#4434](https://github.com/mem0ai/mem0/pull/4434))
      * **History:** Added timestamps for `DELETE` operations in history ([#4492](https://github.com/mem0ai/mem0/pull/4492))

      **Improvements:**

      * **Vector Stores:** Added vector validation to OpenSearchDB to ensure non-null, non-empty, and correct-dimension vectors ([#4472](https://github.com/mem0ai/mem0/pull/4472))
    </Update>

    <Update label="2026-03-19" description="v1.0.7">
      **Bug Fixes:**

      * **Core:** Fixed control characters in LLM JSON responses causing parse failures ([#4420](https://github.com/mem0ai/mem0/pull/4420))
      * **Core:** Replaced hardcoded US/Pacific timezone references with `timezone.utc` ([#4404](https://github.com/mem0ai/mem0/pull/4404))
      * **Core:** Preserved `http_auth` in `_safe_deepcopy_config` for OpenSearch ([#4418](https://github.com/mem0ai/mem0/pull/4418))
      * **Core:** Normalized malformed LLM fact output before embedding ([#4224](https://github.com/mem0ai/mem0/pull/4224))
      * **Embeddings:** Pass `encoding_format='float'` in OpenAI embeddings for proxy compatibility ([#4058](https://github.com/mem0ai/mem0/pull/4058))
      * **LLMs:** Fixed Ollama to pass tools to `client.chat` and parse `tool_calls` from response ([#4176](https://github.com/mem0ai/mem0/pull/4176))
      * **Reranker:** Support nested LLM config in `LLMReranker` for non-OpenAI providers ([#4405](https://github.com/mem0ai/mem0/pull/4405))
      * **Vector Stores:** Cast `vector_distance` to float in Redis search ([#4377](https://github.com/mem0ai/mem0/pull/4377))

      **Improvements:**

      * **Embeddings:** Improved Ollama embedder with model name normalization and error handling ([#4403](https://github.com/mem0ai/mem0/pull/4403))
    </Update>

    <Update label="2026-03-16" description="v1.0.6">
      **Bug Fixes:**

      * **Telemetry:** Fixed telemetry vector store initialization still running when `MEM0_TELEMETRY` is disabled (#4351)
      * **Core:** Removed destructive `vector_store.reset()` call from `delete_all()` that was wiping the entire vector store instead of deleting only the target memories (#4349)
      * **OSS:** `OllamaLLM` now respects the configured URL instead of always falling back to localhost (#4320)
      * **Core:** Fixed `KeyError` when LLM omits the `entities` key in tool call response (#4313)
      * **Prompts:** Ensured JSON instruction is included in prompts when using `json_object` response format (#4271)
      * **Core:** Fixed incorrect database parameter handling (#3913)

      **Dependencies:**

      * Updated LangChain dependencies to v1.0.0 (#4353)
      * Bumped protobuf dependency to 5.29.6 and extended upper bound to `<7.0.0` (#4326)
    </Update>

    <Update label="2026-03-03" description="v1.0.5">
      * **Telemetry Fix**
        * Fixed an issue where the PostHog client was initialized even after telemetry was disabled. Although events were not captured, the client was unnecessarily initialized.
    </Update>

    <Update label="2026-02-17" description="v1.0.4">
      **New Features & Updates:**

      * **Memory Update:**
        * Added `timestamp` parameter to `update()`: accepts Unix epoch (int/float) or ISO 8601 string
    </Update>

    <Update label="2026-01-29" description="v1.0.3">
      **New Features & Updates:**

      * **Project Settings:**
        * Added inclusion prompt, exclusion prompt, memory depth, and usecase setting
    </Update>

    <Update label="2026-01-13" description="v1.0.2">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added DriverInfo metadata to MongoDB vector store
    </Update>

    <Update label="2025-11-14" description="v1.0.1">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Apache Cassandra vector store support
      * **Embeddings:**
        * Added FastEmbed embedding support for local embeddings
      * **Graph Store:**
        * Added configurable embedding similarity threshold for graph store node matching

      **Bug Fixes:**

      * **Core:**
        * Fixed condition check for memories\_result type in Memory class
        * Fixed list\_memories endpoint Pydantic validation error
        * Fixed memory deletion not removing from vector store
    </Update>

    <Update label="2025-10-16" description="v1.0.0">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Azure MySQL support
        * Added Azure AI Search Vector Store support
      * **LLMs:**
        * Added Tool Call support for LangchainLLM
        * Enabled custom model and parameters for Hugging Face with huggingface\_base\_url
        * Updated default LLM configuration
      * **Rerankers:**
        * Added reranker support: Cohere, ZeroEntropy, Hugging Face, Sentence Transformers, and LLMs
      * **Core:**
        * Added metadata filtering for OSS
        * Added Assistant memory retrieval
        * Enabled async mode as default

      **Improvements:**

      * **Prompts:**
        * Improved prompt for better memory retrieval
      * **Dependencies:**
        * Updated dependency compatibility with OpenAI 2.x
      * **Validation:**
        * Validated embedding\_dims for Kuzu integration

      **Bug Fixes:**

      * **Vector Stores:**
        * Fixed Databricks Vector Store integration
        * Fixed Milvus DB bug and added test coverage
        * Fixed Weaviate search method
      * **LLMs:**
        * Fixed bug with thinking LLM in vLLM
    </Update>

    <Update label="2025-09-25" description="v0.1.118">
      **New Features & Updates:**

      * **Vector Stores:**
        * Added Valkey vector store support
        * Added support for ChromaDB Cloud
        * Added Mem0 vector store backend integration for Neptune Analytics
      * **Graph Store:**
        * Added Neptune-DB graph store with vector store
      * **Core:**
        * Implemented structured exception classes with error codes and suggested actions

      **Improvements:**

      * **Dependencies:**
        * Updated OpenAI dependency and improved Ollama compatibility
      * **Testing:**
        * Added Weaviate DB test
        * Added comprehensive test suite for SQLiteManager
      * **Documentation:**
        * Updated category docs
        * Updated Search V2 / Get All V2 filters documentation
        * Refactored AWS example title
        * Fixed Quickstart cURL example

      **Bug Fixes:**

      * **Vector Stores:**
        * Databricks bug fixes
        * Fixed S3 Vectors memory initialization issue from configuration
      * **Core:**
        * Fixed JSON parsing with new memories
        * Replaced hardcoded LLM provider with provider from configuration
      * **LLMs:**
        * Fixed Bedrock Anthropic models to use system field
    </Update>

    <Update label="2025-09-03" description="v0.1.117">
      **New Features & Updates:**

      * **OpenMemory:**
        * Added memory export / import feature
        * Added vector store integrations: Weaviate, FAISS, PGVector, Chroma, Redis, Elasticsearch, Milvus
        * Added `export_openmemory.sh` migration script
      * **Vector Stores:**
        * Added Amazon S3 Vectors support
        * Added Databricks Mosaic AI vector store support
        * Added support for OpenAI Store
      * **Graph Memory:** Added support for graph memory using Kuzu
      * **Azure:** Added Azure Identity for Azure OpenAI and Azure AI Search authentication
      * **Elasticsearch:** Added headers configuration support

      **Improvements:**

      * Added custom connection client to enable connecting to local containers for Weaviate
      * Updated configuration AWS Bedrock
      * Fixed dependency issues and tests; updated docstrings
      * **Documentation:**
        * Fixed Graph Docs page missing in sidebar
        * Updated integration documentation
        * Added version param in Search V2 API documentation
        * Updated Databricks documentation and refactored docs
        * Updated favicon logo
        * Fixed typos and Typescript docs

      **Bug Fixes:**

      * Baidu: Added missing provider for Baidu vector DB
      * MongoDB: Replaced `query_vector` args in search method
      * Fixed new memory mistaken for current
      * AsyncMemory.\_add\_to\_vector\_store: handled edge case when no facts found
      * Fixed missing commas in Kuzu graph INSERT queries
      * Fixed inconsistent created and updated properties for Graph
      * Fixed missing `app_id` on client for Neptune Analytics
      * Correctly pick AWS region from environment variable
      * Fixed Ollama model existence check

      **Refactoring:**

      * **PGVector:** Use internal connection pools and context managers
    </Update>

    <Update label="2025-08-14" description="v0.1.116">
      **New Features & Updates:**

      * **Pinecone:** Added namespace support and improved type safety
      * **Milvus:** Added db\_name field to MilvusDBConfig
      * **Vector Stores:** Added multi-id filters support
      * **Vercel AI SDK:** Migration to AI SDK V5.0
      * **Python Support:** Added Python 3.12 support
      * **Graph Memory:** Added sanitizer methods for nodes and relationships
      * **LLM Monitoring:** Added monitoring callback support

      **Improvements:**

      * **Performance:**
        * Improved async handling in AsyncMemory class
      * **Documentation:**
        * Added async add announcement
        * Added personalized search docs
        * Added Neptune examples
        * Added V5 migration docs
      * **Configuration:**
        * Refactored base class config for LLMs
        * Added sslmode for pgvector
      * **Dependencies:**
        * Updated psycopg to version 3
        * Updated Docker compose

      **Bug Fixes:**

      * **Tests:**
        * Fixed failing tests
        * Restricted package versions
      * **Memgraph:**
        * Fixed async attribute errors
        * Fixed n\_embeddings usage
        * Fixed indexing issues
      * **Vector Stores:**
        * Fixed Qdrant cloud indexing
        * Fixed Neo4j Cypher syntax
        * Fixed LLM parameters
      * **Graph Store:**
        * Fixed LM config prioritization
      * **Dependencies:**
        * Fixed JSON import for psycopg

      **Refactoring:**

      * **Google AI:** Refactored from Gemini to Google AI
      * **Base Classes:** Refactored LLM base class configuration
    </Update>

    <Update label="2025-07-24" description="v0.1.115">
      **New Features & Updates:**

      * Enhanced project management via `client.project` and `AsyncMemoryClient.project` interfaces
      * Full support for project CRUD operations (create, read, update, delete)
      * Project member management: add, update, remove, and list members
      * Manage project settings including custom instructions, categories, retrieval criteria, and graph enablement
      * Both sync and async support for all project management operations

      **Improvements:**

      * **Documentation:**
        * Added detailed API reference and usage examples for new project management methods.
        * Updated all docs to use `client.project.get()` and `client.project.update()` instead of deprecated methods.

      * **Deprecation:**
        * Marked `get_project()` and `update_project()` as deprecated (these methods were already present); added warnings to guide users to the new API.

      **Bug Fixes:**

      * **Tests:**
        * Fixed Gemini embedder and LLM test mocks for correct error handling and argument structure.
      * **vLLM:**
        * Fixed duplicate import in vLLM module.
    </Update>

    <Update label="2025-07-05" description="v0.1.114">
      **New Features:**

      * **OpenAI Agents:** Added OpenAI agents SDK support
      * **Amazon Neptune:** Added Amazon Neptune Analytics graph\_store configuration and integration
      * **vLLM:** Added vLLM support

      **Improvements:**

      * **Documentation:**
        * Added SOC2 and HIPAA compliance documentation
        * Enhanced group chat feature documentation for platform
        * Added Google AI ADK Integration documentation
        * Fixed documentation images and links
      * **Setup:** Fixed Mem0 setup, logging, and documentation issues

      **Bug Fixes:**

      * **MongoDB:** Fixed MongoDB Vector Store misaligned strings and classes
      * **vLLM:** Fixed missing OpenAI import in vLLM module and call errors
      * **Dependencies:** Fixed CI issues related to missing dependencies
      * **Installation:** Reverted pip install changes
    </Update>

    <Update label="2025-06-30" description="v0.1.113">
      **Bug Fixes:**

      * **Gemini:** Fixed Gemini embedder configuration
    </Update>

    <Update label="2025-06-27" description="v0.1.112">
      **New Features:**

      * **Memory:** Added immutable parameter to add method
      * **OpenMemory:** Added async\_mode parameter support

      **Improvements:**

      * **Documentation:**
        * Enhanced platform feature documentation
        * Fixed documentation links
        * Added async\_mode documentation
      * **MongoDB:** Fixed MongoDB configuration name

      **Bug Fixes:**

      * **Bedrock:** Fixed Bedrock LLM, embeddings, tools, and temporary credentials
      * **Memory:** Fixed memory categorization by updating dependencies and correcting API usage
      * **Gemini:** Fixed Gemini Embeddings and LLM issues
    </Update>

    <Update label="2025-06-23" description="v0.1.111">
      **New Features:**

      * **OpenMemory:**
        * Added OpenMemory augment support
        * Added OpenMemory Local Support using new library
      * **vLLM:** Added vLLM support integration

      **Improvements:**

      * **Documentation:**
        * Added MCP Client Integration Guide and updated installation commands
        * Improved Agent Id documentation for Mem0 OSS Graph Memory
      * **Core:** Added JSON parsing to solve hallucination errors

      **Bug Fixes:**

      * **Gemini:** Fixed Gemini Embeddings migration
    </Update>

    <Update label="2025-06-20" description="v0.1.110">
      **New Features:**

      * **Baidu:** Added Baidu vector database integration

      **Improvements:**

      * **Documentation:**
        * Updated changelog
        * Fixed example in quickstart page
        * Updated client.update() method documentation in OpenAPI specification
      * **OpenSearch:** Updated logger warning

      **Bug Fixes:**

      * **CI:** Fixed failing CI pipeline
    </Update>

    <Update label="2025-06-19" description="v0.1.109">
      **New Features:**

      * **AgentOps:** Added AgentOps integration
      * **LM Studio:** Added response\_format parameter for LM Studio configuration
      * **Examples:** Added Memory agent powered by voice (Cartesia + Agno)

      **Improvements:**

      * **AI SDK:** Added output\_format parameter
      * **Client:** Enhanced update method to support metadata
      * **Google:** Added Google Genai library support

      **Bug Fixes:**

      * **Build:** Fixed Build CI failure
      * **Pinecone:** Fixed pinecone for async memory
    </Update>

    <Update label="2025-06-14" description="v0.1.108">
      **New Features:**

      * **MongoDB:** Added MongoDB Vector Store support
      * **Client:** Added client support for summary functionality

      **Improvements:**

      * **Pinecone:** Fixed pinecone version issues
      * **OpenSearch:** Added logger support
      * **Testing:** Added python version test environments
    </Update>

    <Update label="2025-06-11" description="v0.1.107">
      **Improvements:**

      * **Documentation:**
        * Updated Livekit documentation migration
        * Updated OpenMemory hosted version documentation
      * **Core:** Updated categorization flow
      * **Storage:** Fixed migration issues
    </Update>

    <Update label="2025-06-09" description="v0.1.106">
      **New Features:**

      * **Cloudflare:** Added Cloudflare vector store support
      * **Search:** Added threshold parameter to search functionality
      * **API:** Added wildcard character support for v2 Memory APIs

      **Improvements:**

      * **Documentation:** Updated README docs for OpenMemory environment setup
      * **Core:** Added support for unique user IDs

      **Bug Fixes:**

      * **Core:** Fixed error handling exceptions
    </Update>

    <Update label="2025-06-03" description="v0.1.104">
      **Bug Fixes:**

      * **Vector Stores:** Fixed GET\_ALL functionality for FAISS and OpenSearch
    </Update>

    <Update label="2025-06-02" description="v0.1.103">
      **New Features:**

      * **LLM:** Added support for OpenAI compatible LLM providers with baseUrl configuration

      **Improvements:**

      * **Documentation:**
        * Fixed broken links
        * Improved Graph Memory features documentation clarity
        * Updated enable\_graph documentation
      * **TypeScript SDK:** Updated Google SDK peer dependency version
      * **Client:** Added async mode parameter
    </Update>

    <Update label="2025-05-26" description="v0.1.102">
      **New Features:**

      * **Examples:** Added Neo4j example
      * **AI SDK:** Added Google provider support
      * **OpenMemory:** Added LLM and Embedding Providers support

      **Improvements:**

      * **Documentation:**
        * Updated memory export documentation
        * Enhanced role-based memory attribution rules documentation
        * Updated API reference and messages documentation
        * Added Mastra and Raycast documentation
        * Added NOT filter documentation for Search and GetAll V2
        * Announced Claude 4 support
      * **Core:**
        * Removed support for passing string as input in client.add()
        * Added support for sarvam-m model
      * **TypeScript SDK:** Fixed types from message interface

      **Bug Fixes:**

      * **Memory:** Prevented saving prompt artifacts as memory when no new facts are present
      * **OpenMemory:** Fixed typos in MCP tool description
    </Update>

    <Update label="2025-05-15" description="v0.1.101">
      **New Features:**

      * **Neo4j:** Added base label configuration support

      **Improvements:**

      * **Documentation:**
        * Updated Healthcare example index
        * Enhanced collaborative task agent documentation clarity
        * Added criteria-based filtering documentation
      * **OpenMemory:** Added cURL command for easy installation
      * **Build:** Migrated to Hatch build system
    </Update>

    <Update label="2025-05-10" description="v0.1.100">
      **New Features:**

      * **Memory:** Added Group Chat Memory Feature support
      * **Examples:** Added Healthcare assistant using Mem0 and Google ADK

      **Bug Fixes:**

      * **SSE:** Fixed SSE connection issues
      * **MCP:** Fixed memories not appearing in MCP clients added from Dashboard
    </Update>

    <Update label="2025-05-07" description="v0.1.99">
      **New Features:**

      * **OpenMemory:** Added OpenMemory support
      * **Neo4j:** Added weights to Neo4j model
      * **AWS:** Added support for Opsearch Serverless
      * **Examples:** Added ElizaOS Example

      **Improvements:**

      * **Documentation:** Updated Azure AI documentation
      * **AI SDK:** Added missing parameters and updated demo application
      * **OSS:** Fixed AOSS and AWS BedRock LLM
    </Update>

    <Update label="2025-04-30" description="v0.1.98">
      **New Features:**

      * **Neo4j:** Added support for Neo4j database
      * **AWS:** Added support for AWS Bedrock Embeddings

      **Improvements:**

      * **Client:** Updated delete\_users() to use V2 API endpoints
      * **Documentation:** Updated timestamp and dual-identity memory management docs
      * **Neo4j:** Improved Neo4j queries and removed warnings
      * **AI SDK:** Added support for graceful failure when services are down

      **Bug Fixes:**

      * Fixed AI SDK filters
      * Fixed new memories wrong type
      * Fixed duplicated metadata issue while adding/updating memories
    </Update>

    <Update label="2025-04-23" description="v0.1.97">
      **New Features:**

      * **HuggingFace:** Added support for HF Inference

      **Bug Fixes:**

      * Fixed proxy for Mem0
    </Update>

    <Update label="2025-04-16" description="v0.1.96">
      **New Features:**

      * **Vercel AI SDK:** Added Graph Memory support

      **Improvements:**

      * **Documentation:** Fixed timestamp and README links
      * **Client:** Updated TS client to use proper types for deleteUsers
      * **Dependencies:** Removed unnecessary dependencies from base package
    </Update>

    <Update label="2025-04-09" description="v0.1.95">
      **Improvements:**

      * **Client:** Fixed Ping Method for using default org\_id and project\_id
      * **Documentation:** Updated documentation

      **Bug Fixes:**

      * Fixed mem0-migrations issue
    </Update>

    <Update label="2025-04-26" description="v0.1.94">
      **New Features:**

      * **Integrations:** Added Memgraph integration
      * **Memory:** Added timestamp support
      * **Vector Stores:** Added reset function for VectorDBs

      **Improvements:**

      * **Documentation:**
        * Updated timestamp and expiration\_date documentation
        * Fixed v2 search documentation
        * Added "memory" in EC "Custom config" section
        * Fixed typos in the json config sample
    </Update>

    <Update label="2025-04-21" description="v0.1.93">
      **Improvements:**

      * **Vector Stores:** Initialized embedding\_model\_dims in all vectordbs

      **Bug Fixes:**

      * **Documentation:** Fixed agno link
    </Update>

    <Update label="2025-04-18" description="v0.1.92">
      **New Features:**

      * **Memory:** Added Memory Reset functionality
      * **Client:** Added support for Custom Instructions
      * **Examples:** Added Fitness Checker powered by memory

      **Improvements:**

      * **Core:** Updated capture\_event
      * **Documentation:** Fixed curl for v2 get\_all

      **Bug Fixes:**

      * **Vector Store:** Fixed user\_id functionality
      * **Client:** Various client improvements
    </Update>

    <Update label="2025-04-16" description="v0.1.91">
      **New Features:**

      * **LLM Integrations:** Added Azure OpenAI Embedding Model
      * **Examples:**
        * Added movie recommendation using grok3
        * Added Voice Assistant using Elevenlabs

      **Improvements:**

      * **Documentation:**
        * Added keywords AI
        * Reformatted navbar page URLs
        * Updated changelog
        * Updated openai.mdx
      * **FAISS:** Silenced FAISS info logs
    </Update>

    <Update label="2025-04-11" description="v0.1.90">
      **New Features:**

      * **LLM Integrations:** Added Mistral AI as LLM provider

      **Improvements:**

      * **Documentation:**
        * Updated changelog
        * Fixed memory exclusion example
        * Updated xAI documentation
        * Updated YouTube Chrome extension example documentation

      **Bug Fixes:**

      * **Core:** Fixed EmbedderFactory.create() in GraphMemory
      * **Azure OpenAI:** Added patch to fix Azure OpenAI
      * **Telemetry:** Fixed telemetry issue
    </Update>

    <Update label="2025-04-11" description="v0.1.89">
      **New Features:**

      * **Langchain Integration:** Added support for Langchain VectorStores
      * **Examples:**
        * Added personal assistant example
        * Added personal study buddy example
        * Added YouTube assistant Chrome extension example
        * Added agno example
        * Updated OpenAI Responses API examples
      * **Vector Store:** Added capability to store user\_id in vector database
      * **Async Memory:** Added async support for OSS

      **Improvements:**

      * **Documentation:** Updated formatting and examples
    </Update>

    <Update label="2025-04-09" description="v0.1.87">
      **New Features:**

      * **Upstash Vector:** Added support for Upstash Vector store

      **Improvements:**

      * **Code Quality:** Removed redundant code lines
      * **Build:** Updated MAKEFILE
      * **Documentation:** Updated memory export documentation
    </Update>

    <Update label="2025-04-07" description="v0.1.86">
      **Improvements:**

      * **FAISS:** Added embedding\_dims parameter to FAISS vector store
    </Update>

    <Update label="2025-04-07" description="v0.1.84">
      **New Features:**

      * **Langchain Embedder:** Added Langchain embedder integration

      **Improvements:**

      * **Langchain LLM:** Updated Langchain LLM integration to directly pass the Langchain object LLM
    </Update>

    <Update label="2025-04-07" description="v0.1.83">
      **Bug Fixes:**

      * **Langchain LLM:** Fixed issues with Langchain LLM integration
    </Update>

    <Update label="2025-04-07" description="v0.1.82">
      **New Features:**

      * **LLM Integrations:** Added support for Langchain LLMs, Google as new LLM and embedder
      * **Development:** Added development docker compose

      **Improvements:**

      * **Output Format:** Set output\_format='v1.1' and updated documentation

      **Documentation:**

      * **Integrations:** Added LMStudio and Together.ai documentation
      * **API Reference:** Updated output\_format documentation
      * **Integrations:** Added PipeCat integration documentation
      * **Integrations:** Added Flowise integration documentation for Mem0 memory setup

      **Bug Fixes:**

      * **Tests:** Fixed failing unit tests
    </Update>

    <Update label="2025-04-02" description="v0.1.79">
      **New Features:**

      * **FAISS Support:** Added FAISS vector store support
    </Update>

    <Update label="2025-04-02" description="v0.1.78">
      **New Features:**

      * **Livekit Integration:** Added Mem0 livekit example
      * **Evaluation:** Added evaluation framework and tools

      **Documentation:**

      * **Multimodal:** Updated multimodal documentation
      * **Examples:** Added examples for email processing
      * **API Reference:** Updated API reference section
      * **Elevenlabs:** Added Elevenlabs integration example

      **Bug Fixes:**

      * **OpenAI Environment Variables:** Fixed issues with OpenAI environment variables
      * **Deployment Errors:** Added `package.json` file to fix deployment errors
      * **Tools:** Fixed tools issues and improved formatting
      * **Docs:** Updated API reference section for `expiration date`
    </Update>

    <Update label="2025-03-26" description="v0.1.77">
      **Bug Fixes:**

      * **OpenAI Environment Variables:** Fixed issues with OpenAI environment variables
      * **Deployment Errors:** Added `package.json` file to fix deployment errors
      * **Tools:** Fixed tools issues and improved formatting
      * **Docs:** Updated API reference section for `expiration date`
    </Update>

    <Update label="2025-03-19" description="v0.1.76">
      **New Features:**

      * **Supabase Vector Store:** Added support for Supabase Vector Store
      * **Supabase History DB:** Added Supabase History DB to run Mem0 OSS on Serverless
      * **Feedback Method:** Added feedback method to client

      **Bug Fixes:**

      * **Azure OpenAI:** Fixed issues with Azure OpenAI
      * **Azure AI Search:** Fixed test cases for Azure AI Search
    </Update>
  </Tab>

  <Tab title="TypeScript">
    <Update label="2026-07-13" description="v3.1.0">
      The largest provider release for the TypeScript OSS SDK so far: 17 new vector stores, 5 new LLM providers, 4 new embedders, and reranking support. Importing `mem0ai/oss` no longer pulls in any provider SDK, so you only install what you actually configure.

      **New Features:**

      * **Rerankers:** Add reranking to the OSS SDK with four providers (Cohere, ZeroEntropy, cross-encoder, and LLM-based), plus per-search rerank via a `rerank` option on `search()` ([#6055](https://github.com/mem0ai/mem0/pull/6055))
      * **Memory (OSS):** Accept `text` in `Memory.update()`. `data` still works but is now deprecated, so prefer `text` in new code ([#6044](https://github.com/mem0ai/mem0/pull/6044))
      * **Vector Stores:** Add Pinecone ([#5802](https://github.com/mem0ai/mem0/pull/5802)), Weaviate ([#5800](https://github.com/mem0ai/mem0/pull/5800)), Milvus ([#5889](https://github.com/mem0ai/mem0/pull/5889)), Chroma ([#6145](https://github.com/mem0ai/mem0/pull/6145)), MongoDB ([#5793](https://github.com/mem0ai/mem0/pull/5793)), Elasticsearch ([#5866](https://github.com/mem0ai/mem0/pull/5866)), and OpenSearch ([#5810](https://github.com/mem0ai/mem0/pull/5810))
      * **Vector Stores:** Add Databricks ([#5824](https://github.com/mem0ai/mem0/pull/5824)), AWS Neptune Analytics ([#5797](https://github.com/mem0ai/mem0/pull/5797)), S3 Vectors ([#5822](https://github.com/mem0ai/mem0/pull/5822)), Azure MySQL ([#5827](https://github.com/mem0ai/mem0/pull/5827)), and Google Vertex AI Vector Search ([#5791](https://github.com/mem0ai/mem0/pull/5791))
      * **Vector Stores:** Add Turbopuffer ([#5801](https://github.com/mem0ai/mem0/pull/5801)), Upstash Vector ([#5811](https://github.com/mem0ai/mem0/pull/5811)), Valkey ([#5826](https://github.com/mem0ai/mem0/pull/5826)), Cassandra ([#5823](https://github.com/mem0ai/mem0/pull/5823)), and Baidu Mochow ([#5790](https://github.com/mem0ai/mem0/pull/5790))
      * **LLMs:** Add AWS Bedrock ([#5890](https://github.com/mem0ai/mem0/pull/5890)), xAI Grok ([#6115](https://github.com/mem0ai/mem0/pull/6115)), Together ([#6049](https://github.com/mem0ai/mem0/pull/6049)), vLLM ([#5805](https://github.com/mem0ai/mem0/pull/5805)), and Sarvam ([#6130](https://github.com/mem0ai/mem0/pull/6130))
      * **Embeddings:** Add Vertex AI ([#5882](https://github.com/mem0ai/mem0/pull/5882)), HuggingFace ([#6027](https://github.com/mem0ai/mem0/pull/6027)), FastEmbed ([#5862](https://github.com/mem0ai/mem0/pull/5862)), and Together ([#5989](https://github.com/mem0ai/mem0/pull/5989))

      **Improvements:**

      * **Packaging:** Lazy-load optional provider SDKs so importing `mem0ai/oss` never requires them. Provider packages are now resolved on first use, so an app that only configures OpenAI and Qdrant does not need the other provider SDKs installed ([#6280](https://github.com/mem0ai/mem0/pull/6280))

      **Bug Fixes:**

      * **Memory (OSS):** Re-raise LLM extraction transport failures instead of returning `[]`, so a network error during extraction surfaces as an error rather than a silently empty result ([#6102](https://github.com/mem0ai/mem0/pull/6102))
      * **Vector Stores:** Prevent an unhandled promise rejection in the Supabase and Redis constructors ([#6111](https://github.com/mem0ai/mem0/pull/6111))
      * **Client:** Encode dynamic URL path segments so IDs containing special characters no longer produce malformed requests ([#5963](https://github.com/mem0ai/mem0/pull/5963))

      **Security:**

      * **Dependencies:** Patch the `fast-xml-parser` and `tar` transitive CVEs ([#6160](https://github.com/mem0ai/mem0/pull/6160))
    </Update>

    <Update label="2026-07-01" description="v3.0.13">
      **Bug Fixes:**

      * **Embeddings:** Guard against an `embed_batch` count mismatch in the OpenAI and Azure OpenAI embedders ([#5966](https://github.com/mem0ai/mem0/pull/5966))
      * **LLMs:** Handle empty Google chat candidates without crashing ([#5817](https://github.com/mem0ai/mem0/pull/5817))
    </Update>

    <Update label="2026-06-27" description="v3.0.12">
      **New Features:**

      * **Client:** Add `expirationDate` to `AddMemoryOptions`, `update()`, and the `Memory` interface; add `showExpired` to `SearchMemoryOptions` and `GetAllMemoryOptions` ([#5874](https://github.com/mem0ai/mem0/pull/5874))
      * **LLMs:** Add `MiniMaxLLM` provider backed by the OpenAI-compatible MiniMax API (`api.minimax.io/v1`, default model `MiniMax-M2.7`) ([#5858](https://github.com/mem0ai/mem0/pull/5858))
      * **LLMs:** Add `LiteLLM` provider for routing requests through a local or hosted LiteLLM proxy ([#5830](https://github.com/mem0ai/mem0/pull/5830))
      * **Vector Stores:** Add `connectionString` and `ssl` options to the PGVector config, allowing connection via URI instead of individual host/user/password/port fields ([#5789](https://github.com/mem0ai/mem0/pull/5789))

      **Bug Fixes:**

      * **Memory (OSS):** Validate and trim entity IDs (`userId`, `agentId`, `runId`) in `deleteAll()` via `validateAndTrimEntityId` ([#5735](https://github.com/mem0ai/mem0/pull/5735))
      * **Vector Stores:** Use nullish coalescing for `hash` and timestamps in the Redis `insert()` and `update()` paths so entity payloads that omit those fields no longer crash ([#5860](https://github.com/mem0ai/mem0/pull/5860))

      **Security:**

      * **Dependencies:** Bump `undici` to `>=6.27.0` via pnpm override to remediate CVE-2026-12151 ([#5861](https://github.com/mem0ai/mem0/pull/5861))
    </Update>

    <Update label="2026-06-24" description="v3.0.11">
      **Bug Fixes:**

      * **Memory (OSS):** Align entity extraction with Python by reducing generic entity noise, preserving useful topic phrases, and exact-deduplicating entity links before semantic matching ([#5829](https://github.com/mem0ai/mem0/pull/5829))
    </Update>

    <Update label="2026-06-24" description="v3.0.10">
      **Bug Fixes:**

      * **Memory (OSS):** Guard against malformed `image_url` entries in `parseVisionMessages` to prevent crashes ([#5631](https://github.com/mem0ai/mem0/pull/5631))
      * **Memory (OSS):** Return `attributedTo` from `get()`, `search()`, and `getAll()` ([#5675](https://github.com/mem0ai/mem0/pull/5675))
      * **Memory (OSS):** Preserve message roles in the extraction input so assistant facts aren't attributed to the user ([#5643](https://github.com/mem0ai/mem0/pull/5643))
      * **Memory (OSS):** Reject empty or blank messages in `Memory.add()` to prevent hallucinated memories ([#5545](https://github.com/mem0ai/mem0/pull/5545))
      * **Memory (OSS):** Check `message.role` instead of `content` when detecting system messages ([#3921](https://github.com/mem0ai/mem0/pull/3921))
      * **LLMs:** Honor the configured `baseURL` in `AnthropicLLM` ([#5740](https://github.com/mem0ai/mem0/pull/5740))
      * **Client:** Preserve `customCategories` names through key conversion ([#5741](https://github.com/mem0ai/mem0/pull/5741))
      * **Client:** Prevent hallucinated memories on an empty messages payload ([#5613](https://github.com/mem0ai/mem0/pull/5613))
      * **Client:** Preserve user metadata keys across the case-conversion round-trip ([#5515](https://github.com/mem0ai/mem0/pull/5515))

      **Security:**

      * **Dependencies:** Upgrade `form-data` to `>=4.0.6` across pnpm workspaces to remediate CVE-2026-12143 ([#5618](https://github.com/mem0ai/mem0/pull/5618))
    </Update>

    <Update label="2026-06-17" description="v3.0.9">
      **Bug Fixes:**

      * **LLMs:** Fix Anthropic `tool_choice` format: was incorrectly sent as a bare string `"auto"` (rejected by the API); now correctly sent as `{ type: "auto" }`. Also fixes tool response parsing: `tool_use` blocks are now parsed into `toolCalls` objects instead of throwing. Updated default model to `claude-sonnet-4-6` and default `max_tokens` to `2000` to match the Python provider. Added `temperature`, `topP`, and `maxTokens` to `LLMConfig` so Anthropic params can be configured ([#5537](https://github.com/mem0ai/mem0/pull/5537))
      * **Memory (OSS):** Preserve custom metadata fields during `update()`: fields such as `category`, `priority`, and other user-defined keys were previously dropped on update; the existing payload is now spread before applying the new data ([#5480](https://github.com/mem0ai/mem0/pull/5480))
      * **Client:** Preserve user-defined schema keys in `createMemoryExport` ([#5594](https://github.com/mem0ai/mem0/pull/5594))

      **Security:**

      * **Dependencies:** Bump `esbuild` to `>=0.28.1` across all npm packages via pnpm overrides to remediate upstream vulnerability ([#5563](https://github.com/mem0ai/mem0/pull/5563))
    </Update>

    <Update label="2026-06-13" description="v3.0.8">
      **New Features:**

      * **Memory:** Add a contextual OSS-to-Platform notices system that surfaces occasional, situation-aware messages (first run, scale/performance thresholds, slow queries, and when temporal/decay features are relevant) pointing to the corresponding Mem0 Platform capabilities; disable via `MEM0_TELEMETRY=false` ([#5494](https://github.com/mem0ai/mem0/pull/5494))

      **Security:**

      * **Dependencies:** Upgrade `@langchain/community` to `^1.1.18` to remediate CVE-2026-27795 and CVE-2026-26019 ([#5510](https://github.com/mem0ai/mem0/pull/5510))
      * **Dependencies:** Resolve all open MEDIUM Dependabot alerts via pnpm overrides ([#5489](https://github.com/mem0ai/mem0/pull/5489))
    </Update>

    <Update label="2026-06-10" description="v3.0.7">
      **New Features:**

      * **Embeddings:** Add `LMStudioEmbedding` provider for local embeddings via the LM Studio server ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Memory:** Add opt-in `explain: true` option to `Memory.search()`. When enabled, each result includes a `scoreBreakdown` object with `semantic`, `keyword`, `entityBoost`, and `temporalBoost` fields so callers can inspect and tune retrieval ranking ([#5102](https://github.com/mem0ai/mem0/pull/5102))

      **Bug Fixes:**

      * **Memory:** Parallelize entity boost searches in `Memory.search()`. All entity embed + store lookups now run concurrently instead of sequentially, eliminating multi-second latency on entity-rich queries with remote embedding providers ([#5377](https://github.com/mem0ai/mem0/pull/5377))
      * **Vector Stores:** Normalize similarity scores to `[0, 1]` (higher = better): fixed score inversion in the Redis vector store adapter ([#5391](https://github.com/mem0ai/mem0/pull/5391))
      * **Embeddings:** Request `encoding_format: "float"` from the OpenAI embedder in both `embed()` and `embedBatch()`. Fixes incorrect vector dimensions when using OpenAI-compatible proxies that default to base64 encoding ([#5170](https://github.com/mem0ai/mem0/pull/5170))
    </Update>

    <Update label="2026-06-01" description="v3.0.6">
      **Security:**

      * **Dependencies:** Bumped `axios` to `^1.16.0` to remediate high-severity prototype-pollution CVEs (credential theft, MITM, DoS). Pinned transitive dependencies via pnpm overrides: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
    </Update>

    <Update label="2026-05-27" description="v3.0.5">
      **New Features:**

      * **Client:** `delete()` accepts an options object with `deleteLinked` (serialized as `delete_linked`, default `false`). When `true`, deleting a memory also removes the older memories it superseded (the v3 linked chain), transitively: the delete-side counterpart of `latestOnly`, so a superseded memory does not resurface after the current one is deleted ([#5270](https://github.com/mem0ai/mem0/pull/5270))
    </Update>

    <Update label="2026-05-26" description="v3.0.4">
      **Bug Fixes:**

      * **Vector Stores:** PGVector adapter now supports rich filter operators (`eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`, `contains`, `icontains`, wildcard `*`, `$or`, `$not`) in `search()`, `keywordSearch()`, and `list()`. Previously only exact-equality filters worked: operator objects were passed as raw values and returned incorrect results ([#5263](https://github.com/mem0ai/mem0/pull/5263))
    </Update>

    <Update label="2026-05-08" description="v3.0.3">
      **Bug Fixes:**

      * **Telemetry:** Stitch OSS and platform PostHog identities on `MemoryClient` init so `$identify` events fire and a single user is no longer tracked as two or three disconnected personas ([#5040](https://github.com/mem0ai/mem0/pull/5040))
      * **Vector Stores:** Fix inverted vector distance in PGVector implementation ([#4944](https://github.com/mem0ai/mem0/pull/4944))
      * **Security:** Harden against SQL injection and prompt injection ([#4997](https://github.com/mem0ai/mem0/pull/4997))

      **New Features:**

      * **SDK:** Expose `decay` on `project.update` ([#5062](https://github.com/mem0ai/mem0/pull/5062))
    </Update>

    <Update label="2026-04-25" description="v3.0.2">
      **Bug Fixes:**

      * **LLMs:** Forward `timeout` config to OpenAI client in JS OSS LLM providers ([#4770](https://github.com/mem0ai/mem0/pull/4770))

      **Improvements:**

      * **Telemetry:** Harden TS telemetry version injection and require changelog entry on version bump ([#4900](https://github.com/mem0ai/mem0/pull/4900))
      * **Docs:** Update memory tool list, CLI usage, and config file reading logic ([#4861](https://github.com/mem0ai/mem0/pull/4861))
    </Update>

    <Update label="2026-04-20" description="v3.0.1">
      **Bug Fixes:**

      * **Telemetry:** SDK version is now injected into telemetry at build time via esbuild's `define`, replacing the two hardcoded version strings in `src/client/telemetry.ts` and `src/oss/src/utils/telemetry.ts`. Previously these were stuck at `2.1.36` and `2.1.34` while the published package was on `3.x`, so every telemetry event was reporting the wrong `client_version`. The placeholder is substituted with a string literal at bundle time: no runtime `require("./package.json")` in the shipped bundle ([#4897](https://github.com/mem0ai/mem0/pull/4897)).
    </Update>

    <Update label="2026-04-14" description="v3.0.0">
      **Major Release**: TypeScript SDK with V3 memory pipeline, camelCase parameters, and cleaned-up API surface.

      **V3 Memory Pipeline (OSS):**

      * **Single-Pass Extraction:** Additive extraction pipeline aligned with Python SDK: memories accumulate, no UPDATE/DELETE events ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Entity Extraction & Linking:** New `entity_extraction.ts` module (720+ lines) with cross-memory relationship retrieval ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Message Persistence:** SQLite-based message history via new `SQLiteManager.ts` with rolling window for LLM context ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Batch Embeddings:** `embedBatch()` support in OpenAI and Azure embedding providers ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **Scoring & Lemmatization:** New `scoring.ts` and `lemmatization.ts` utilities for hybrid search ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **New Prompts:** `prompts/index.ts` (592+ lines) with additive extraction prompt aligned with Python SDK ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **V3 API Endpoints:** `MemoryClient.add()` now posts to `/v3/memories/add/`; `MemoryClient.getAll()` posts to `/v3/memories/` with paginated envelope `{ count, next, previous, results }` ([#4856](https://github.com/mem0ai/mem0/pull/4856))
      * **Default model:** `gpt-5-mini` is now the default in `OpenAI`, `OpenAIStructured`, and `Azure` LLM providers ([#4829](https://github.com/mem0ai/mem0/pull/4829))

      **Breaking Changes:**

      * **External Graph Store Removed (OSS):** `graph_memory.ts` (675 lines), `graphs/tools.ts` (267 lines), `graphs/utils.ts` (116 lines), `graphs/configs.ts` (30 lines) deleted. The external graph store integration is no longer part of the OSS SDK; graph memory now runs natively as built-in entity linking ([#4805](https://github.com/mem0ai/mem0/pull/4805))
      * **camelCase Parameters (Client SDK):** All user-facing parameters converted from snake\_case to camelCase. Mapping is transparent at API boundary via `camelToSnakeKeys()` / `snakeToCamelKeys()` ([#4776](https://github.com/mem0ai/mem0/pull/4776))
        ```typescript theme={null}
        // Before
        client.add(messages, { user_id: "alice", top_k: 5 });
        // After
        client.add(messages, { userId: "alice", topK: 5 });
        ```
      * **Per-Method Option Types:** Replaced monolithic `MemoryOptions` with typed interfaces: `AddMemoryOptions`, `SearchMemoryOptions`, `GetAllMemoryOptions`, `DeleteAllMemoryOptions` ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **Removed Deprecated Parameters:** `org_id`, `project_id`, `api_version`, `output_format`, `async_mode`, `enable_graph`, `limit` removed from client method signatures. `ClientOptions` reduced to `{ apiKey, host }` only ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`limit` renamed to `topK` (OSS):** Update all search calls ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`topK` default changed 100 → 20** in `Memory.getAll()` and `Memory.search()`. Pass `topK: 100` explicitly to restore the old behavior ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Entity ID validation:** `userId` / `agentId` / `runId` are trimmed; empty-string and whitespace-only values now throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **Search params validation:** `threshold` must be in `[0, 1]`; `topK` must be a non-negative integer: invalid inputs throw ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`messages` in `Memory.add()` is required:** Passing `undefined` or `null` now throws ([#4843](https://github.com/mem0ai/mem0/pull/4843))
      * **`customPrompt` renamed to `customInstructions` (OSS):** Update memory and vector store configurations ([#4740](https://github.com/mem0ai/mem0/pull/4740))
      * **`enableGraph` removed (OSS):** Config option removed: graph memory no longer available in OSS ([#4776](https://github.com/mem0ai/mem0/pull/4776))

      **New Features:**

      * **LLMs:** Added DeepSeek LLM provider with OpenAI-compatible integration using custom baseURL to `api.deepseek.com` ([#4613](https://github.com/mem0ai/mem0/pull/4613))
      * **Entity store isolation:** `MemoryVectorStore` now uses a dedicated `_entities.db` file, preventing entity/memory store collisions ([#4829](https://github.com/mem0ai/mem0/pull/4829), [#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Payload backward compatibility:** Legacy camelCase payload keys normalized to snake\_case on read ([#4841](https://github.com/mem0ai/mem0/pull/4841))

      **Bug Fixes:**

      * **V3 migration:** Fixed crashes in the OSS migration path; entity linking works end-to-end ([#4836](https://github.com/mem0ai/mem0/pull/4836))
      * **PGVector init race:** `PGVector.initialize()` now memoises the in-flight init promise ([#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Redis module detection:** Handles both node-redis v4+ and legacy `moduleList` response shapes ([#4841](https://github.com/mem0ai/mem0/pull/4841))
      * **Config:** Fixed `ConfigManager.mergeConfig()` to only include `graphStore` when explicitly provided by user, preventing default Neo4j connection attempts ([#4776](https://github.com/mem0ai/mem0/pull/4776))
      * **LLMs:** Config manager now falls back to `userConf.url` for `baseURL`: prevents custom LLM providers (Ollama, LMStudio) from silently connecting to OpenAI ([#4761](https://github.com/mem0ai/mem0/pull/4761))

      **Improvements:**

      * **Telemetry:** Sample OSS hot-path events at 10% to reduce PostHog event volume ([#4771](https://github.com/mem0ai/mem0/pull/4771))

      See the [TypeScript SDK migration guide](https://docs.mem0.ai/migration/ts-v2-to-v3) for upgrade instructions.
    </Update>

    <Update label="2026-04-06" description="v2.4.6">
      **New Features & Updates:**

      * **Client:** Added `multilingual` parameter to project update types ([#4314](https://github.com/mem0ai/mem0/pull/4314))
    </Update>

    <Update label="2026-04-01" description="v2.4.5">
      **Bug Fixes:**

      * **OSS:** Replace `.single()` with `.maybeSingle()` in SupabaseDB.get() to handle missing rows ([#4599](https://github.com/mem0ai/mem0/pull/4599))
      * **Embeddings:** Pass dimensions parameter to OpenAI embeddings API ([#4632](https://github.com/mem0ai/mem0/pull/4632))
      * **OSS:** Extract JSON from chatty LLM responses in fact retrieval ([#4533](https://github.com/mem0ai/mem0/pull/4533))
    </Update>

    <Update label="2026-03-28" description="v2.4.4">
      **Bug Fixes:**

      * **OSS:** Fixed Qdrant Cloud "Illegal host" error by defaulting to port 6333 when URL has no explicit port ([#4565](https://github.com/mem0ai/mem0/pull/4565))
    </Update>

    <Update label="2026-03-26" description="v2.4.3">
      **New Features & Updates:**

      * **OSS:** Added pgvector support to NodeJS OSS `VectorStoreFactory` ([#3997](https://github.com/mem0ai/mem0/pull/3997))

      **Bug Fixes:**

      * **OSS:** Made pgvector `pg` import compatible with ESM ([#4544](https://github.com/mem0ai/mem0/pull/4544))
      * **OSS:** Registered pgvector in `VectorStoreFactory` ([#4502](https://github.com/mem0ai/mem0/pull/4502))
      * **OSS:** Used root LLM config as fallback for graph store instead of hardcoded OpenAI default ([#4466](https://github.com/mem0ai/mem0/pull/4466))
      * **OSS:** Fixed `toCamelCase` in Redis `get` method for the payload ([#3172](https://github.com/mem0ai/mem0/pull/3172))
      * **Client:** Fixed Zod Schema incompatibility with OpenAI Structured Outputs API ([#3462](https://github.com/mem0ai/mem0/pull/3462))
    </Update>

    <Update label="2026-03-19" description="v2.4.2">
      **Bug Fixes:**

      * **Client:** Fixed webhook `createWebhook` and `updateWebhook` API serialization
      * **Client:** Added missing `MEMORY_CATEGORIZED` event type to `WebhookEvent` enum
      * **Types:** Added `WebhookCreatePayload` and `WebhookUpdatePayload` for better type safety

      **Tests:**

      * Added end-to-end unit test coverage for the platform client: CRUD, batch, search, webhooks, users, project, and initialization (#4357)
      * Added real API integration tests for memory CRUD, batch operations, search, user management, project configuration, and webhook lifecycle (#4395)
      * Deleted obsolete e2e test files replaced by the new structured test suite (#4419)
    </Update>

    <Update label="2026-03-16" description="v2.4.1">
      **Bug Fixes:**

      * **Core:** Fixed code block content extraction: content inside code blocks is now properly extracted instead of being deleted (#4317)

      **Improvements:**

      * **Code Quality:** Fixed linting issues across the SDK (#4334)
    </Update>

    <Update label="2026-03-14" description="v2.4.0">
      **Bug Fixes:**

      * **OSS Storage:** Fixed `SQLITE_CANTOPEN` errors when running as a LaunchAgent, systemd service, or in containers where `process.cwd()` is read-only (e.g. `/`). Default `vector_store.db` location changed from `process.cwd()/vector_store.db` to `~/.mem0/vector_store.db`.
      * **OSS Storage:** Fixed `historyDbPath` config being silently ignored: config merging always overwrote it with defaults. Top-level `historyDbPath` is now correctly propagated into `historyStore.config` with proper precedence.
      * **OSS Storage:** Added `ensureSQLiteDirectory()`: parent directories for SQLite database files are now auto-created before opening, preventing `SQLITE_CANTOPEN` when using nested paths.

      **Improvements:**

      * **Migration:** Added deprecation warning when an existing `vector_store.db` is found at the old `process.cwd()` location, guiding users to move it or set `vectorStore.config.dbPath` explicitly.
      * **Config:** Limited default SQLite config spreading to only SQLite history providers, preventing config leaking into Supabase or other providers.
    </Update>

    <Update label="2026-03-09" description="v2.3.0">
      **Breaking Changes:**

      * **Dependencies:** Minimum Node.js version for OSS sqlite features is now Node 20+ (due to `better-sqlite3` v12)

      **Bug Fixes:**

      * **OSS Storage:** Replaced `sqlite3` with `better-sqlite3` to fix native binding resolution failures under jiti-based loaders (e.g. OpenClaw plugin system). Fixes issues where the `bindings` module walked V8 stack frames with synthetic filenames, failing to locate the native `.node` addon.
      * **OSS Storage:** Fixed async init race condition in `SQLiteManager`: `init()` is now synchronous
      * **OSS Vector Store:** Migrated `MemoryVectorStore` from `sqlite3` to `better-sqlite3` with transactional batch inserts

      **Improvements:**

      * **Performance:** Cached prepared statements in `SQLiteManager` for faster history operations
      * **Performance:** Batch `insert()` in `MemoryVectorStore` wrapped in a transaction for atomicity
      * **Build:** Updated `tsup.config.ts` externals from `sqlite3` to `better-sqlite3`
    </Update>

    <Update label="2026-02-17" description="v2.2.3">
      **New Features & Updates:**

      * **Memory Update:**
        * Added `timestamp` parameter to `update()`: accepts Unix epoch or ISO 8601 string
    </Update>

    <Update label="2026-01-29" description="v2.2.2">
      **New Features & Updates:**

      * **Project Settings:**
        * Added inclusion prompt, exclusion prompt, memory depth, and usecase setting
    </Update>

    <Update label="2025-12-30" description="v2.2.1">
      **Improvements:**

      * **Client:** Added support for keyword arguments in `add` and `search` methods, allowing additional properties beyond defined options for experimental features
    </Update>

    <Update label="2025-12-29" description="v2.2.0">
      **New Features:**

      * **Vector Stores:** Added Azure AI Search vector store support

      **Improvements:**

      * **Config:** Fixed embedder config schema to support `embeddingDims` and `url` parameters
      * **Graph Memory:** Replaced hardcoded LLM provider with provider from configuration

      **Bug Fixes:**

      * **Embedders:** Fixed hardcoded `embeddingDims` values in embedders (OpenAI, Ollama, Google, Azure)
      * **Build:** Fixed TypeScript build errors
    </Update>

    <Update label="2025-09-04" description="v2.1.38">
      **New Features:**

      * **Client:** Added `metadata` param to `update` method.
    </Update>

    <Update label="2025-08-04" description="v2.1.37">
      **New Features:**

      * **OSS:** Added `RedisCloud` search module check
    </Update>

    <Update label="2025-07-08" description="v2.1.36">
      **New Features:**

      * **Client:** Added `structured_data_schema` param to `add` method.
    </Update>

    <Update label="2025-07-08" description="v2.1.35">
      **New Features:**

      * **Client:** Added `createMemoryExport` and `getMemoryExport` methods.
    </Update>

    <Update label="2025-07-03" description="v2.1.34">
      **New Features:**

      * **OSS:** Added Gemini support
    </Update>

    <Update label="2025-06-24" description="v2.1.33">
      **Improvement:**

      * **Client:** Added `immutable` param to `add` method.
    </Update>

    <Update label="2025-06-20" description="v2.1.32">
      **Improvement:**

      * **Client:** Made `api_version` V2 as default.
    </Update>

    <Update label="2025-06-17" description="v2.1.31">
      **Improvement:**

      * **Client:** Added param `filter_memories`.
    </Update>

    <Update label="2025-06-06" description="v2.1.30">
      **New Features:**

      * **OSS:** Added Cloudflare support

      **Improvements:**

      * **OSS:** Fixed baseURL param in LLM Config.
    </Update>

    <Update label="2025-05-30" description="v2.1.29">
      **Improvements:**

      * **Client:** Added Async Mode Param for `add` method.
    </Update>

    <Update label="2025-05-30" description="v2.1.28">
      **Improvements:**

      * **SDK:** Update Google SDK Peer Dependency Version.
    </Update>

    <Update label="2025-05-27" description="v2.1.27">
      **Improvements:**

      * **OSS:** Added baseURL param in LLM Config.
    </Update>

    <Update label="2025-05-23" description="v2.1.26">
      **Improvements:**

      * **Client:** Removed type `string` from `messages` interface
    </Update>

    <Update label="2025-05-08" description="v2.1.25">
      **Improvements:**

      * **Client:** Improved error handling in client.
    </Update>

    <Update label="2025-05-06" description="v2.1.24">
      **New Features:**

      * **Client:** Added new param `output_format` to match Python SDK.
      * **Client:** Added new enum `OutputFormat` for `v1.0` and `v1.1`
    </Update>

    <Update label="2025-05-05" description="v2.1.23">
      **New Features:**

      * **Client:** Updated `deleteUsers` to use `v2` API.
      * **Client:** Deprecated `deleteUser` and added deprecation warning.
    </Update>

    <Update label="2025-05-02" description="v2.1.22">
      **New Features:**

      * **Client:** Updated `deleteUser` to use `entity_id` and `entity_type`
    </Update>

    <Update label="2025-05-01" description="v2.1.21">
      **Improvements:**

      * **OSS SDK:** Bumped version of `@anthropic-ai/sdk` to `0.40.1`
    </Update>

    <Update label="2025-04-28" description="v2.1.20">
      **Improvements:**

      * **Client:** Fixed `organizationId` and `projectId` being assigned to default in `ping` method
    </Update>

    <Update label="2025-04-22" description="v2.1.19">
      **Improvements:**

      * **Client:** Added support for `timestamps`
    </Update>

    <Update label="2025-04-17" description="v2.1.18">
      **Improvements:**

      * **Client:** Added support for custom instructions
    </Update>

    <Update label="2025-04-15" description="v2.1.17">
      **New Features:**

      * **OSS SDK:** Added support for Langchain LLM
      * **OSS SDK:** Added support for Langchain Embedder
      * **OSS SDK:** Added support for Langchain Vector Store
      * **OSS SDK:** Added support for Azure OpenAI Embedder

      **Improvements:**

      * **OSS SDK:** Changed `model` in LLM and Embedder to use type any from `string` to use langchain llm models
      * **OSS SDK:** Added client to vector store config for langchain vector store
      * **OSS SDK:** - Updated Azure OpenAI to use new OpenAI SDK
    </Update>

    <Update label="2025-04-11" description="v2.1.16-patch.1">
      **Bug Fixes:**

      * **Azure OpenAI:** Fixed issues with Azure OpenAI
    </Update>

    <Update label="2025-04-11" description="v2.1.16">
      **New Features:**

      * **Azure OpenAI:** Added support for Azure OpenAI
      * **Mistral LLM:** Added Mistral LLM integration in OSS

      **Improvements:**

      * **Zod:** Updated Zod to 3.24.1 to avoid conflicts with other packages
    </Update>

    <Update label="2025-04-09" description="v2.1.15">
      **Improvements:**

      * **Client:** Added support for Mem0 to work with Chrome Extensions
    </Update>

    <Update label="2025-04-01" description="v2.1.14">
      **New Features:**

      * **Mastra Example:** Added Mastra example
      * **Integrations:** Added Flowise integration documentation for Mem0 memory setup

      **Improvements:**

      * **Demo:** Updated Demo Mem0AI
      * **Client:** Enhanced Ping method in Mem0 Client
      * **AI SDK:** Updated AI SDK implementation
    </Update>

    <Update label="2025-03-29" description="v2.1.13">
      **Improvements:**

      * **Introduced `ping` method to check if API key is valid and populate org/project id**
    </Update>

    <Update label="2025-03-29" description="AI SDK v1.0.0">
      **New Features:**

      * **Vercel AI SDK Update:** Support threshold and rerank

      **Improvements:**

      * **Made add calls async to avoid blocking**
      * **Bump `mem0ai` to use `2.1.12`**
    </Update>

    <Update label="2025-03-26" description="v2.1.12">
      **New Features:**

      * **Mem0 OSS:** Support infer param

      **Improvements:**

      * **Updated Supabase TS Docs**
      * **Made package size smaller**
    </Update>

    <Update label="2025-03-19" description="v2.1.11">
      **New Features:**

      * **Supabase Vector Store Integration**
      * **Feedback Method**
    </Update>
  </Tab>

  <Tab title="CLI">
    <Update label="2026-07-13" description="Python v0.2.10 / Node v0.2.11">
      **Bug Fixes:**

      * **Platform backend:** Encode dynamic URL path segments so memory and entity IDs containing special characters no longer produce malformed requests (Python and Node [#5963](https://github.com/mem0ai/mem0/pull/5963))
    </Update>

    <Update label="2026-07-01" description="Python v0.2.9 / Node v0.2.10">
      **Bug Fixes:**

      * **`entity delete`:** Keep every deleted entity in the result output instead of only the last one (Python [#5936](https://github.com/mem0ai/mem0/pull/5936), Node [#5970](https://github.com/mem0ai/mem0/pull/5970))
      * **Output formatters (Python):** Handle null memory fields in the output formatters instead of erroring ([#5957](https://github.com/mem0ai/mem0/pull/5957))
      * **Config (Python):** Reject invalid integer config values with a clean error instead of a traceback ([#5956](https://github.com/mem0ai/mem0/pull/5956))
    </Update>

    <Update label="2026-06-19" description="Python v0.2.8 / Node v0.2.9">
      **Security:**

      * **Telemetry key handling:** CLI telemetry no longer passes the Mem0 API key to a child process through command-line arguments. The context is sent over stdin, so the key is not visible in `ps`, `/proc/<pid>/cmdline`, or Activity Monitor. Fixes #4862.

      **Bug Fixes:**

      * **Python package version:** `__version__` now matches the packaged `mem0-cli` version.
    </Update>

    <Update label="2026-06-01" description="Node v0.2.8">
      **Security:**

      * **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `jws` → 4.0.1 (CVE-2025-65945), `langsmith` → ^0.6.0 (CVE-2026-45134), `tar-fs` → ^2.1.4 (CVE-2025-48387, CVE-2025-59343), `picomatch` → ^2.3.2 (CVE-2026-33671), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `path-to-regexp` → ^8.4.0 (CVE-2026-4926), `rollup` → ^4.59.0 (CVE-2026-27606), `glob` → ^10.5.0 (CVE-2025-64756), `@modelcontextprotocol/sdk` → ^1.25.4 (CVE-2025-66414, CVE-2026-0621)
    </Update>

    <Update label="2026-05-20" description="Python v0.2.7 / Node v0.2.7">
      **New Features:**

      * **`mem0 whoami`:** Prints the active agent's `default_user_id` from local config without a network call.
      * **`mem0 agent-rush <add | search>`:** Wraps the `/v1/agent-rush/` platform endpoints for the AGENTRUSH game. Project routing is resolved server-side, and platform error codes are shown as actionable hints.
      * **PII safety prompt:** The first interactive `mem0 agent-rush add` asks users to acknowledge that AGENTRUSH memories are public. The acknowledgement is stored in `~/.mem0/config.json` under `agent_rush.acknowledged_at`.
      * **Config schema:** Added `agent_rush.acknowledged_at` for the local acknowledgement timestamp.

      **Changes:**

      * **Agent Rush telemetry:** Agent Rush commands send `X-Mem0-Mode: agent-rush` so platform telemetry can split game traffic from regular CLI usage.
    </Update>

    <Update label="2026-05-16" description="Python v0.2.6 / Node v0.2.6">
      **Bug Fixes:**

      * **Claim flow error message:** The `email_already_claimed` tip in `mem0 init --email` previously suggested running `mem0 link <key>`: a command that doesn't exist. Replaced with honest copy pointing the user to sign in at app.mem0.ai with their existing credentials ([#5152](https://github.com/mem0ai/mem0/pull/5152))
    </Update>

    <Update label="2026-05-14" description="Python v0.2.5 / Node v0.2.5">
      **New Features:**

      * **Agent Mode (`mem0 init --agent`):** Zero-friction signup for AI agents: mints a working Mem0 API key in under 5 seconds with no email, no dashboard, no OTP. Returns an unclaimed shadow account the human can later claim with `mem0 init --email <their-email>` (memories preserved, same key keeps working) ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Self-declared agent identity:** Agents pass `--agent-caller <name>` (e.g. `claude-code`, `cursor`, `codex`) on `mem0 init --agent` so signups attribute to the right tool in analytics. Proof Editor-style: the agent declares itself rather than the CLI sniffing it from env vars ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **`mem0 identify <name>`:** New subcommand to self-tag an Agent Mode key after the fact when the agent forgot to pass `--agent-caller` on init. Idempotent: re-running just overwrites ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Plugin sync:** `~/.claude/settings.json::env::MEM0_API_KEY` and `~/.zshrc`/`.bashrc` `export MEM0_API_KEY=` lines stay in sync with `~/.mem0/config.json` automatically. Idempotent: only updates EXISTING entries, never creates new ones ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Claim flow:** `mem0 init --email <email>` claims an existing Agent Mode shadow via OTP. Upgrade-in-place: the API key never changes, memories transfer to the human's account ([#5123](https://github.com/mem0ai/mem0/pull/5123))

      **Bug Fixes:**

      * **Decision tree network resilience:** `pingKey` now distinguishes network errors from invalid keys: returns false ONLY on HTTP 401/403, returns true on connection failures / timeouts / 5xx. Prevents a VPN flap from silently rotating the user's API key and rewriting plugin-sync targets ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Rate-limit error clarity:** DRF's opaque `"You do not have permission"` 403 from Agent Mode rate limits is now translated to `"Daily Agent Mode signup limit reached for this network (5/day). Try again from a different IP or after midnight UTC."` ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **JSON envelope `command` field:** `mem0 init --agent --json` error envelopes now populate the `command` field correctly instead of returning an empty string ([#5123](https://github.com/mem0ai/mem0/pull/5123))
      * **Bootstrap envelope validation:** Defends against partial/malformed backend responses (e.g. `{api_key: null}`) silently persisting null/undefined into typed string fields ([#5123](https://github.com/mem0ai/mem0/pull/5123))
    </Update>

    <Update label="2026-04-22" description="Python v0.2.4 / Node v0.2.4">
      **New Features:**

      * **V3 API Routes:** Migrated `add`, `search`, and `list` commands from v1/v2 to v3 API endpoints: `POST /v3/memories/add/`, `POST /v3/memories/search/`, `POST /v3/memories/`. Aligns both CLIs with the Python and TypeScript SDKs which already use v3 ([#4916](https://github.com/mem0ai/mem0/pull/4916))

      **Breaking Changes:**

      * **`--graph` / `--no-graph` removed:** The `enable_graph` config option, `--graph` and `--no-graph` CLI flags, and `MEM0_ENABLE_GRAPH` environment variable have been removed from both CLIs. Graph memory is now a project-level setting on the Platform ([#4916](https://github.com/mem0ai/mem0/pull/4916))
    </Update>

    <Update label="2026-04-11" description="Python v0.2.3 / Node v0.2.3">
      **Bug Fixes:**

      * **Telemetry:** Replaced shared `"anonymous-cli"` fallback with a persistent per-machine random hash (`cli-anon-<uuid>`), so anonymous CLI users are counted individually in PostHog instead of collapsing into one identity ([#4789](https://github.com/mem0ai/mem0/pull/4789))
      * **Telemetry:** Added PostHog `$identify` event on first authenticated run to stitch pre-signup anonymous history onto the authenticated user profile ([#4789](https://github.com/mem0ai/mem0/pull/4789))

      **Improvements:**

      * **API:** All API calls now include `source=CLI` in request bodies (POST/PUT) and query params (GET/DELETE) for server-side attribution ([#4789](https://github.com/mem0ai/mem0/pull/4789))
    </Update>

    <Update label="2026-04-06" description="Python v0.2.2 / Node v0.2.2">
      **New Features:**

      * **Telemetry:** Added PostHog telemetry and source tracking to both Python and Node CLIs ([#4699](https://github.com/mem0ai/mem0/pull/4699))
      * **Validation:** API key validated upfront via `/v1/ping/` on startup: fail-fast with a helpful error instead of cryptic 401s ([#4701](https://github.com/mem0ai/mem0/pull/4701))

      **Bug Fixes:**

      * **CD:** Fixed OIDC trusted publishing with `npx npm@latest` ([#4724](https://github.com/mem0ai/mem0/pull/4724))
      * **CD:** Removed npm self-upgrade from CD workflows ([#4723](https://github.com/mem0ai/mem0/pull/4723))
    </Update>

    <Update label="2026-04-03" description="Python v0.2.1 / Node v0.2.1">
      **New Features:**

      * **Docs:** Comprehensive README with installation, usage examples, and purple branding ([#4680](https://github.com/mem0ai/mem0/pull/4680))

      **Bug Fixes:**

      * **npm:** Added `repository` field to Node packages for npm provenance ([#4671](https://github.com/mem0ai/mem0/pull/4671))
      * **CD:** Added CD workflows for Node SDK packages with OIDC trusted publishing ([#4670](https://github.com/mem0ai/mem0/pull/4670))
    </Update>

    <Update label="2026-04-02" description="Python v0.2.0 / Node v0.1.1">
      **New Features:**

      * **`event` commands:** `mem0 event list` shows recent background processing events in a table; `mem0 event status <id>` shows full detail including nested memory results ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`--json` / `--agent` flag:** Root-level flag switches all command output to a structured JSON envelope for programmatic/agent consumption. Envelope format: `{"status", "command", "duration_ms", "scope", "count", "data"}` ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **Agent output sanitization:** Raw API responses projected to only relevant fields per command (e.g., `add` → `{id, memory, event}`, `search` → `{id, memory, score, created_at, categories}`) ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **Email login:** Added email verification code login to `mem0 init` ([#4623](https://github.com/mem0ai/mem0/pull/4623))
      * **Brand update:** Updated color palette from purple to golden ([#4664](https://github.com/mem0ai/mem0/pull/4664))
      * **CI/CD:** Added CI pipelines and CD workflows for both CLIs ([#4640](https://github.com/mem0ai/mem0/pull/4640), [#4653](https://github.com/mem0ai/mem0/pull/4653))

      **Bug Fixes:**

      * **Node:** Fixed critical `MODULE_NOT_FOUND` crash on `status`, `import`, and all commands when installed globally: replaced runtime `createRequire` with build-time version injection ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **Node:** API errors now show full response detail instead of bare "Bad Request" ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **Python:** Fixed double error printing on all commands ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * **`status` command:** Replaced heavyweight `/v1/entities/` check with dedicated `GET /v1/ping/` endpoint ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`add` command:** Deduplicated PENDING results from API; changed misleading count message ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`init` command:** Partial flags now work in non-TTY; warns before overwriting existing config; added `--force` flag ([#4649](https://github.com/mem0ai/mem0/pull/4649))
      * **`delete` command:** Fixed entity delete via v2 API for all entity types ([#4649](https://github.com/mem0ai/mem0/pull/4649))

      **Improvements:**

      * Tables now show full UUIDs (was truncated to 8 chars, making `mem0 get <id>` fail) ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * Search table includes Score column ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * `config get api_key` short-form aliases added ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * Client-side validation for `--expires`, `--page-size`, `--page`, `--top-k`, `--threshold`, and empty content ([#4636](https://github.com/mem0ai/mem0/pull/4636))
      * `printInfo` / `printScope` moved to stderr to avoid contaminating JSON piping ([#4636](https://github.com/mem0ai/mem0/pull/4636))
    </Update>

    <Update label="2026-03-26" description="Python v0.1.0 / Node v0.1.0">
      **Initial Release: Official Mem0 CLI**

      A full-featured command-line interface for Mem0, available in both Python and Node.js:

      * **Install:** `pip install mem0-cli` (Python) or `npm install -g @mem0/cli` (Node.js)
      * **Full command suite:** `add`, `search`, `list`, `get`, `update`, `delete`, `import`, `config`, `init`, `status`, `entity`
      * **Interactive setup:** `mem0 init` with API key entry and user ID configuration
      * **Works everywhere:** Platform (Mem0 Cloud) and self-hosted OSS modes
      * **Scriptable:** `-o json` flag for CI/CD pipelines and automation
      * **Dual SDK:** Same commands, same experience across Python and Node.js
      * **Shared spec:** Both implementations driven by a single `cli-spec.json` ensuring identical behavior ([#4575](https://github.com/mem0ai/mem0/pull/4575))
    </Update>
  </Tab>

  <Tab title="Plugins">
    <Tabs>
      <Tab title="Mem0 Plugin">
        <Update label="2026-07-14" description="mem0-plugin v0.2.13">
          **Fixes:**

          * **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`. Affects Claude Code, Cursor, Codex, and Antigravity, which share these hooks.

          Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
        </Update>

        <Update label="2026-06-30" description="mem0-plugin v0.2.12">
          **New Features:**

          * **Query-driven prefetch:** The `UserPromptSubmit` hook now searches Mem0 with the current prompt and injects the top matches, so relevant memories are guaranteed in context instead of relying on the agent to search for them. Opt out with `MEM0_PREFETCH=false`.

          **Improvements:**

          * **Multi-hop guidance:** The decision rubric now tells the agent to run follow-up searches for multi-part or comparative questions instead of stopping after one. Tool descriptions for every memory tool were sharpened with clearer "what + when to use" guidance.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.11">
          **Fixes:**

          * **Session summary metadata:** `files_touched` now stores a real list instead of a double-encoded JSON string, so returned memories render readable file paths across Claude Code, Cursor, Codex, and Antigravity.

          **Improvements:**

          * **Reranked auto-injected context:** File-context, bash-error lookup, and session-resume prefetch now rerank by default. Disable with `MEM0_RERANK=0`, `false`, `no`, or `off`.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.10">
          **Fixes:**

          * **Editor telemetry attribution:** Antigravity is no longer counted as Claude Code, Codex no longer falls back to the generic `plugin` bucket, and Cursor wrappers now pin their platform before delegating to shared hook scripts.
          * **Per-editor plugin version:** Telemetry reads the manifest for the detected platform instead of always reading the Claude plugin manifest.

          **New Features:**

          * **`MEM0_PLATFORM` override:** Explicit platform markers now win over env-var auto-detection for reliable telemetry labels.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.9">
          **New Features:**

          * **File-context injection:** Before supported editors read a file, Mem0 searches for memories that reference that path and injects a compact prior-work timeline.
          * **Stop hook session summaries:** Session-end hooks store structured summaries with request, decisions, learnings, next steps, and files touched.
          * **SessionStart activity timeline:** Sessions with existing memories show recent decisions, bug fixes, and session summaries on startup.

          **Changes:**

          * Added shared `file_context.py`, `capture_session_summary.py`, and `session_timeline.py` helpers for the hook pipeline.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.8">
          **New Features:**

          * **Global search mode:** `global_search` lets reads search all users and projects in the platform project while writes stay scoped to the current `user_id` and `app_id`.
          * **Automatic coding categories:** The coding taxonomy is installed in the background on session start and gated by an API-key and taxonomy fingerprint.
          * **Global scope controls:** `/mem0:switch-project --global` and `/mem0:switch-project --no-global` persist global-search behavior in `~/.mem0/settings.json`.
          * **Scope-aware startup:** Session banners show `scope=global` when global search is active, and startup memory counts use the same global filter.
          * **Category setup state:** `~/.mem0/categories_setup.json` caches setup per Mem0 account and taxonomy fingerprint, so categories are applied once and re-applied only when the taxonomy changes.
          * **Tests:** Added coverage for category fingerprints, state-file gating, state save/load, and idempotent category application.

          **Changes:**

          * Session start spawns `auto_setup_categories.py` in the background alongside project-file auto-import.
          * Onboarding no longer asks users to install coding categories manually; it verifies status and applies categories only if the background run has not finished.
          * New-project startup copy now tells users that coding categories install automatically.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.7">
          **Fixes:**

          * **First-install auth:** Removed `authorizationUrl` from `.mcp.json` so Claude Code uses the `MEM0_API_KEY` header instead of falling into a broken OAuth reconnect flow.
          * **Onboarding auth copy:** `/mem0:onboard` no longer tells users to complete browser OAuth.
          * **Invalid configure command:** Removed `claude plugin configure mem0` references and clarified that Claude Code stores the plugin API key through the enable UI prompt.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.6">
          **Fixes:**

          * **Memory count and stats:** Removed the `run_id: "*"` filter from read paths so memories written without `run_id` are visible again.
          * **Write scoping:** `add_memory` moved session tracking from top-level `run_id` to `metadata.session_id`, keeping new memories in the default query partition.
          * **Session stats:** Memory add/search tracking moved into `enforce_metadata_defaults.sh`, because plugin MCP tools do not trigger PostToolUse hooks.
          * **Auto-capture reliability:** Added direct API auto-capture every third message plus a proportional prompt nudge when few memories have been stored.
          * **Desktop API keys:** `_identity.sh` and `_identity.py` can read `MEM0_API_KEY` from common shell profiles when Claude Code Desktop does not inherit shell env vars.
          * **Import cleanup:** Stale auto-import chunks now delete through the v1 delete endpoint, matching Mem0 v3 add behavior.

          **Removed:**

          * Removed Stop and SessionEnd hook capture paths, redundant post-commit/task/subagent scripts, dead settings, and the deleted file-read test.

          **Changes:**

          * Stats and tour now query with `user_id` + `app_id` filters only.
          * Session banners now tell agents to store learnings incrementally instead of waiting until session end.
          * Session-start resets per-user message counters so nudges begin cleanly.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.5">
          **Fixes:**

          * **Hook schema:** PostToolUse scripts now read `tool_response`, Stop hook output is schema-compliant, and SessionStart uses visible raw stdout.
          * **Tool coverage:** Memory write blocking includes `MultiEdit`, and metadata enforcement covers add, search, get, update, and delete-all variants.
          * **Identity injection:** `add_memory`, `search_memories`, `get_memories`, and `delete_all_memories` receive safe default `user_id` and `app_id` values when the agent omits them.
          * **Skill API calls:** Export, stats, pin, health, memory-reviewer, dream, tour, onboard, context-loader, and weekly stats examples now use the correct filter and `top_k` shapes.
          * **Compact summary capture:** `capture_compact_summary.py` is spawned correctly after compaction and guarded against unset identity variables.

          **New Features:**

          * **Stop hook analyzer:** Added `stop_hook_check.py` to detect meaningful work before prompting memory capture.
          * **Skill checklists:** Added progress checklists to `/mem0:dream` and `/mem0:onboard`.

          **Changes:**

          * `enforce_metadata_defaults.sh` was rewritten around handler-based dispatch and never overrides explicitly provided identity.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.4">
          **Fixes:**

          * **PostToolUse matcher:** Supports both `mcp__mem0__` and `mcp__plugin_mem0_mem0__` names so session stats record memory operations again.
          * **File-read noise:** File-read recall now prefers `metadata.files` plus score threshold before falling back to basename search.
          * **Pinning:** `/mem0:pin` no longer uses removed `immutable=True`; it relies on pinned metadata/text conventions.
          * **Project listing:** `/mem0:list-projects` merges null-scoped and app-scoped memories so legacy records are counted.
          * **ID lookup:** `/mem0:peek` routes memory-id references to `get_memory` instead of semantic search.

          **New Features:**

          * **Session ID capture:** SessionStart persists the Claude session ID for session-scoped memory operations.
          * **Search controls:** `_search.py` gained `min_score`, metadata filters, rerank, and threshold support.
          * **Reranked tour and peek:** `/mem0:tour` and `/mem0:peek` use reranking for better precision.

          **Removed:**

          * Removed the nonexistent `PostToolUseFailure` hook and the superseded `/mem0:protocol` skill.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.3">
          **New Features:**

          * **Read hook:** Added `PreToolUse(Read)` file recall with skip rules for non-code files, lockfiles, and `node_modules`.
          * **Shared search module:** Added `_search.py` for v3 search calls and consistent context formatting.
          * **Settings file:** Added `~/.mem0/settings.json` with search, retention, confidence, debug, and capture settings.
          * **Memory skills:** Added `/mem0:forget`, `/mem0:peek`, `/mem0:memory-reviewer`, and `/mem0:context-loader`.
          * **Compact output style:** Added compact `[type] content [mem0:id]` memory display.
          * **Claude userConfig:** Added sensitive `api_key` plugin config support.

          **Changes:**

          * Skills were renamed to shorter command names, bash-error hooks now run real searches, resume prompts prefetch context, and remember-intent phrases route to `/mem0:remember`.
          * API key resolution now checks `CLAUDE_PLUGIN_OPTION_API_KEY`, and hook timeouts increased for prompt and bash-output searches.

          **Removed:**

          * Removed `/mem0:dream --forget`, `/mem0:dream --schedule`, `/mem0:health --fix`, and CLI config fallback.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.2">
          **Fixes:**

          * **Compaction writes:** Prevented duplicate pre-compaction captures and shortened session-state content before letting Mem0 infer structured memories.
          * **Error detection:** Reduced false positives from routine test and linter output.
          * **Git commit noise:** Removed automatic background commit-context writes and gated post-commit prompts behind settings.
          * **Project identity:** Added git-remote hash fallback when folders are renamed.
          * **Dependency install race:** Added a lock and failure sentinel for `ensure_deps.sh`.
          * **Telemetry:** Switched `distinct_id` from MD5 to SHA-256, protected system props, and loaded plugin version from the manifest.

          **New Features:**

          * **Chunking and import:** Added shared chunking helpers and Markdown chunk imports.
          * **Metadata defaults:** Added `enforce_metadata_defaults.sh` for default confidence, source, and type on `add_memory`.
          * **Project utilities:** Added list-projects, all-project tour, weekly stats, dream forget mode, and competing-tools import.

          **Removed:**

          * Removed `on_pre_commit.py` and merged digest, forget, import-tools, and peek flows into existing skills.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.1">
          **New Features:**

          * **Skill suite:** Added 11 skills for dream, export, import, tool import, forget, health, peek, pin, remember, stats, and digest.
          * **Hook suite:** Added bash-error recall, git/commit context hooks, compaction recovery, session-end capture, subagent reminders, tool-failure recovery, and pre-commit capture.
          * **Telemetry:** Added sampled PostHog telemetry with no memory content or API keys and `MEM0_TELEMETRY=false` opt-out.
          * **Coding categories:** Added 10 more coding categories and dependency-managed SDK install through `ensure_deps.sh`.
          * **Project onboarding:** Added auto-onboarding, `mem0.md` config loading, inactive API-key banner, import/export parsers, and competing-tool import.

          **Changes:**

          * Memory scoping moved from `metadata.project_id` to top-level `app_id`, and write paths moved to `/v3/memories/add/`.
          * Session stats gained category counters and recent memory IDs.
          * Tour, onboard, prompt hooks, and MCP guidance were updated for project-aware workflows.

          **Fixes:**

          * Shared scripts now resolve plugin API-key env vars consistently and pass hook CWD into project/branch resolution.
        </Update>

        <Update label="2026-06-25" description="mem0-plugin v0.2.0">
          **New Features:**

          * **Project-scoped memories:** Deterministic project IDs from git remotes isolate memories per repo.
          * **Branch-aware tagging:** Session-state and compact-summary memories include branch metadata.
          * **Project file import:** SessionStart imports `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.windsurfrules`, and `mem0.md` as project-profile memories.
          * **Active identity banner:** Startup shows user, project, branch, and memory count.
          * **Session report:** Stop hook reports memory writes, retrieves, and touched categories.
          * **Onboarding, tour, and switch-project skills:** Added first-run setup, proof-of-value browsing, and manual project override.
          * **Session stats tracker:** Added local add/search tracking for reports.
        </Update>

        <Update label="2026-04-02" description="mem0-plugin v0.1.3">
          **Fixes:**

          * **User ID regression:** `user_id` resolution no longer derives from `MEM0_API_KEY`, restoring `MEM0_USER_ID` to `$USER` to `default` order so older memories remain reachable.

          **Upgrade Notes:**

          * The `~/.mem0/identity.json` cache is no longer used.
          * Users who stored memories under the short-lived API-key hash can recover them by temporarily setting `MEM0_USER_ID` to the old hash.
        </Update>

        <Update label="2026-04-02" description="mem0-plugin v0.1.2">
          **New Features:**

          * **Identity resolver:** Added deterministic user-id resolver, later reverted in v0.1.3.
          * **Compact summaries:** Added SessionStart compact handler for `compact_summary` memories.
          * **Coding taxonomy setup:** Added one-shot coding category setup for architecture, anti-patterns, task learnings, tooling, bug fixes, conventions, and preferences.
          * **Debug logging:** Added opt-in hook logs with `MEM0_DEBUG=1`.
          * **Shared MCP skill:** Replaced the Claude-Code-specific Codex skill with `mem0-mcp`.

          **Fixes:**

          * Session IDs are stored in memory metadata, startup exits quietly without an API key, memory-write blocking avoids `docs/memory/*.md`, duplicate compact writes were removed, and hook captures now expire after 90 days.
        </Update>

        <Update label="2026-04-02" description="mem0-plugin v0.1.1">
          **Fixes:**

          * Cursor plugin became fully functional.
          * Codex plugin support and integration docs were added.
          * Codex lifecycle hooks became available through the opt-in installer.
          * Invalid Claude plugin config keys were removed.
        </Update>

        <Update label="2026-04-02" description="mem0-plugin v0.1.0">
          **Mem0 Plugin for Claude Code, Cursor, and Codex**

          Initial release of the Mem0 plugin for Claude Code and Cursor, followed by Codex support:

          * **9 MCP memory tools:** `add_memory`, `search_memories`, `get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`: all via `mcp.mem0.ai`.
          * **Lifecycle hooks:** Automatic memory capture at session start, context compaction, task completion, and session end.
          * **Cloud MCP server:** Managed endpoint replaces local MCP and Smithery setup.
          * **Streamable HTTP transport:** New MCP transport protocol for real-time streaming.
          * **Codex-specific skill:** Dedicated skill in `mem0-plugin/skills/mem0-codex` for Codex workflows.
        </Update>
      </Tab>

      <Tab title="OpenCode">
        <Update label="2026-06-30" description="OpenCode plugin v0.2.1">
          **Improvements:**

          * **Sharper tool descriptions:** Every memory tool (`get_memories`, `get_memory`, `update_memory`, `delete_memory`, `delete_all_memories`, `delete_entities`, `list_entities`, `get_event_status`) now states what it does and when to use it. `search_memories` nudges proactive, multi-hop retrieval and the destructive tools carry explicit irreversible-action warnings.
        </Update>

        <Update label="2026-06-22" description="OpenCode plugin v0.2.0">
          **Breaking Changes:**

          * **Native SDK tools:** Memory tools are registered through `@opencode-ai/plugin` and backed by the `mem0ai` SDK directly. The plugin no longer registers or depends on `mcp.mem0.ai`.
          * **Skills load in place:** The `config` hook adds `opencode-skills/` to `skills.paths`; skills are no longer copied into user config directories.
          * **Focused skill set:** Trimmed to 9 skills: `context-loader`, `dream`, `forget`, `status`, `search`, `scope`, `pin`, `remember`, and `tour`.

          **New Features:**

          * **Memory scopes:** Memory operations support `project`, `session`, and `global` scope, with `/mem0-scope` for changing the default.
          * **Auto-dream:** Gated memory consolidation can merge duplicates, drop stale/sensitive entries, and rewrite vague memories.
          * **Expanded telemetry:** OpenCode emits the shared `plugin.*` schema, including prompt, bash-error, pre-compact, session-stop, dream-triggered, and dream-completed events.

          **Fixes:**

          * **Project ID detection:** Git remote parsing now handles HTTPS, SSH, and custom SSH host aliases before falling back to the repo root.
          * **Auto-dream visibility:** `/mem0-status` shows which dream gate is blocking consolidation.
          * **Delete-all safety:** User-wide deletes require explicit `scope="global"`, regardless of the default scope.
        </Update>

        <Update label="2026-06-22" description="OpenCode plugin v0.1.3">
          **New Features:**

          * **File-context injection:** Before a file read, the plugin searches for memories referencing that path and injects prior work as system context.
          * **Structured compaction summaries:** Session compaction stores `session_summary` memories with `infer=True`.
          * **Recent activity timeline:** Initial memory loading shows typed memories with age labels instead of bare text.
          * **PostHog telemetry:** Anonymous plugin telemetry uses the shared `plugin.*` schema and never sends memory content, prompts, or API keys.
        </Update>

        <Update label="2026-06-22" description="OpenCode plugin v0.1.2">
          **New Features:**

          * **Automatic coding categories:** Sets up 17 coding categories at startup, idempotently and in the background.
          * **Global search mode:** Adds `global_search` support across initial load, per-message recall, resume detection, error lookup, and compaction context.
          * **Global search env:** Exports `MEM0_GLOBAL_SEARCH` to child shells via the `shell.env` hook.

          **Changes:**

          * Search filters now follow the `global_search` setting instead of always using project-scoped filters.
          * Resume and error-pattern searches broadened by removing narrow metadata type filters.
        </Update>

        <Update label="2026-06-22" description="OpenCode plugin v0.1.1">
          **Changes:**

          * Renamed the package to `@mem0/opencode-plugin` ([#5272](https://github.com/mem0ai/mem0/pull/5272)).
          * Added the plugin array to the bundled `opencode.json` ([#5271](https://github.com/mem0ai/mem0/pull/5271)).
          * Fixed `tsconfig`, added `publishConfig` and the bun lockfile ([#5273](https://github.com/mem0ai/mem0/pull/5273)).
          * Validated the CI/CD publish flow ([#5288](https://github.com/mem0ai/mem0/pull/5288)).
        </Update>

        <Update label="2026-04-02" description="OpenCode plugin v0.1.0">
          **Initial Release:**

          * **Native OpenCode plugin:** Added `@mem0/opencode-plugin` with TypeScript hooks for chat messages, tool execution, system-message transforms, session compaction, and shell env injection.
          * **Memory tooling:** Added add, search, update, delete, delete-all, entity tools, session-start memory loading, per-prompt semantic search, error-pattern lookup, auto-capture, and compaction capture.
          * **Skills and commands:** Bundled 16 OpenCode-native Mem0 skills and slash commands.
          * **Safety:** Blocks `MEMORY.md` writes and redacts secrets before memory storage.
        </Update>
      </Tab>

      <Tab title="Antigravity">
        <Update label="2026-07-14" description="Antigravity plugin v0.1.5">
          **Fixes:**

          * **Assistant messages no longer stored as your own:** The session-summary hook (fires at the end of every assistant turn) and the post-compaction hook were sending the assistant's own message to Mem0 tagged `role: "user"`. Because Mem0 extracts *facts about the user* from each message and uses `role` to decide who spoke, the assistant's first-person prose was being saved as the human's stated preferences — "I recommend we drop Redis" became `User prefers dropping Redis entirely`. Both hooks now send `role: "assistant"`, so the same session is stored as `Assistant recommended...`.

          Existing memories written by the previous versions are not rewritten. If your memories contain preferences you never expressed, delete them — the plugin will not recreate them.
        </Update>

        <Update label="2026-06-30" description="Antigravity plugin v0.1.4">
          **New Features:**

          * **Query-driven prefetch:** The user-prompt hook now searches Mem0 with the current prompt and injects the top matches, so relevant memories are guaranteed in context instead of relying on the agent to search for them. Opt out with `MEM0_PREFETCH=false`.

          **Improvements:**

          * **Multi-hop guidance:** The decision rubric now tells the agent to run follow-up searches for multi-part or comparative questions instead of stopping after one.
        </Update>

        <Update label="2026-06-25" description="Antigravity plugin v0.1.3">
          **Fixes:**

          * **Readable session metadata:** Stop-hook session summaries now store `files_touched` as a real list instead of a double-encoded JSON string, so returned memories show clean file paths.

          **Improvements:**

          * **Reranked injected context:** File-context, bash-error lookup, and session-resume recall now rerank by default for higher-quality automatic context. Disable with `MEM0_RERANK=0`, `false`, `no`, or `off`.
        </Update>

        <Update label="2026-06-25" description="Antigravity plugin v0.1.2">
          **Fixes:**

          * **Telemetry attribution:** Antigravity is now reported as `antigravity` instead of being counted as Claude Code.
          * **Per-editor version reporting:** Telemetry reads Antigravity's own `plugin.json`, so events report the Antigravity plugin version instead of the Claude plugin version.

          **New Features:**

          * **Platform override support:** Shared scripts honor `MEM0_PLATFORM` when an editor needs to pin its telemetry platform explicitly.
        </Update>

        <Update label="2026-04-02" description="Antigravity plugin v0.1.0">
          **Initial Release:**

          * **Self-contained plugin:** Added Antigravity plugin packaging with `plugin.json`, `mcp_config.json`, `hooks.json`, lifecycle hooks, shared scripts, and shared Mem0 skills.
          * **AGENTS.md support:** Uses Antigravity's `contextFileName: "AGENTS.md"` convention.
          * **Shared memory layer:** Reuses the Mem0 Platform MCP server, shared hook scripts, and 16 slash-command skills.
          * **Lifecycle hooks:** Wires session start, user prompt, file read, memory-tool metadata enforcement, bash output, post-tool tracking, and stop summaries.
          * **Install options:** Supports `degit` installs into `~/.gemini/config/plugins/mem0` and local Antigravity plugin installs.
          * **Codex parity:** Added missing Codex Write/Edit/MultiEdit blocking and pre-compaction hooks during the shared-plugin restructure.
        </Update>
      </Tab>

      <Tab title="OpenClaw">
        <Update label="2026-06-30" description="openclaw-mem0 v1.0.14">
          **Improvements:**

          * **Sharper tool descriptions:** Every memory tool (`memory_search`, `memory_get`, `memory_list`, `memory_add`, `memory_update`, `memory_delete`) now states what it does and when to use it. `memory_search` nudges proactive, multi-hop retrieval; `memory_add` nudges proactive saves; and the delete tools carry explicit irreversible-action warnings.
        </Update>

        <Update label="2026-06-12" description="openclaw-mem0 v1.0.13">
          **Fixes:**

          * **Custom categories payload:** `customCategories` is converted into the list shape expected by the Mem0 SDK before add calls ([#5345](https://github.com/mem0ai/mem0/pull/5345)).
          * **Metadata registration:** `register()` exits early in `cli-metadata` mode, avoiding backend initialization and hook installation during OpenClaw metadata scans ([#5383](https://github.com/mem0ai/mem0/pull/5383)).

          **Security:**

          * Bumped `mem0ai` to `3.0.7` and added a `uuid` override to resolve known dependency advisories ([#5460](https://github.com/mem0ai/mem0/pull/5460), [#5489](https://github.com/mem0ai/mem0/pull/5489)).

          **Improvements:**

          * **Repo consolidation:** OpenClaw moved to `integrations/openclaw/`; npm provenance now points to the correct subdirectory ([#5491](https://github.com/mem0ai/mem0/pull/5491)).
        </Update>

        <Update label="2026-06-02" description="openclaw-mem0 v1.0.12">
          **Docs:**

          * **Agent Mode onboarding:** README documents `mem0 init --agent --json` for autonomous setup without email, OTP, or browser.

          **Security:**

          * Added overrides for `langsmith`, `picomatch`, `vite`, and `@qdrant/js-client-rest`.

          **Dependencies:**

          * Bumped `mem0ai` to `3.0.3` and refreshed Vitest coverage tooling.
        </Update>

        <Update label="2026-04-29" description="openclaw-mem0 v1.0.11">
          **New Features:**

          * **Skills-mode auto-setup:** Onboarding enables triage, recall, dream consolidation, and full tool profile automatically.
          * **Memory runtime capability:** Exposes `runtime.getMemorySearchManager()` and `resolveMemoryBackendConfig()`.
          * **Dimension-aware collections:** OSS wizard creates a new collection when embedder dimensions change.
          * **Tool docs in skills:** Memory triage and dream skills now include full tool reference sections.

          **Improvements:**

          * Auto-capture and auto-recall default to enabled.
          * Skills prefer `memory_update` over delete+add for atomic edits.
          * Default search threshold lowered to `0.1` for broader recall.
          * Config writes preserve OpenClaw gateway `plugins` state.
        </Update>

        <Update label="2026-04-23" description="openclaw-mem0 v1.0.10">
          **Security:**

          * Telemetry identity now uses SHA-256 hashes instead of MD5, and user email is hashed before telemetry submission.

          **Fixes:**

          * Version-pinned installs are rewritten to updatable specs.
          * `searchThreshold` is standardized across docs, README, and manifest.
          * `PLUGIN_VERSION` is injected at build time from `package.json`.

          **Manifest Compliance:**

          * Removed non-spec manifest fields and moved endpoint declarations to spec-compliant `providerEndpoints`.
        </Update>

        <Update label="2026-04-22" description="openclaw-mem0 v1.0.9">
          **Security & Compliance:**

          * **Manifest security metadata:** Added required env var declarations, sensitive config schema fields, data locations, privacy notes, and external endpoint declarations for platform and OSS modes.
          * **Static-analysis cleanup:** Tests now use `vi.stubEnv` / `vi.unstubAllEnvs` instead of direct environment access in places flagged by plugin scanning.

          **Tests:**

          * Expanded coverage to 421 tests across 15 files.
        </Update>

        <Update label="2026-04-21" description="openclaw-mem0 v1.0.8">
          **New Features:**

          * **OSS onboarding wizard:** Guided setup for LLM provider, embedding provider, vector store, and user ID.
          * **Agent-friendly CLI:** `--json` added to all 16 CLI commands.
          * **Non-interactive OSS setup:** Added `--mode open-source` with `--oss-llm`, `--oss-embedder`, and `--oss-vector`.
          * **JSON helpers:** Added structured `jsonOut`, `jsonErr`, and `redactSecrets` helpers.
        </Update>

        <Update label="2026-04-20" description="openclaw-mem0 v1.0.7">
          **New Features:**

          * **Chat-based setup:** Users can configure the Mem0 platform connection inside OpenClaw chat instead of editing config files manually.

          **Improvements:**

          * **V3 SDK compatibility:** Bumped the `mem0ai` dependency to `3.0.1` for Mem0 v3 API support.
          * **Config cleanup:** Removed deprecated `orgId`, `projectId`, and `enableGraph` setup paths from docs and CLI prompts.
          * **Noise filtering:** Expanded memory-add filtering and improved JSON extraction when model output includes leading text.
        </Update>

        <Update label="2026-04-11" description="openclaw-mem0 v1.0.6">
          **Fixes:**

          * **Telemetry identity:** Anonymous users now get a persistent per-machine hash instead of the shared `anonymous-openclaw` fallback.
          * **Telemetry stitching:** First authenticated runs emit `$identify` so anonymous history can attach to the authenticated profile.
          * **CLI event flushing:** Short-lived CLI invocations flush queued telemetry before exit.
          * **Email resolution:** API-key-only users resolve email lazily through `/v1/ping/`.

          **Improvements:**

          * **OpenClaw source tag:** Provider calls now send `source: "OPENCLAW"` across add, search, list, recall, CLI, and OSS backend paths.
        </Update>

        <Update label="2026-04-07" description="openclaw-mem0 v1.0.5">
          **Fixes:**

          * **Init menu selection:** `openclaw mem0 init` number choices now select the intended option.
          * **OSS pgvector recovery:** Warmup errors now reset initialization so failed pgvector clients do not cascade into repeated `client.connect()` failures.

          **Removed:**

          * Removed `orgId`, `projectId`, and `enableGraph` from config, CLI, providers, backend, and tools because API keys are project-scoped and graph memory moved to platform-level configuration.
        </Update>

        <Update label="2026-04-04" description="openclaw-mem0 v1.0.4">
          **OpenClaw Plugin: Production-Ready**

          * **Interactive init flow:** `openclaw mem0 init` supports email verification and direct API key setup.
          * **Unified tools:** `memory_add` and `memory_delete` replace legacy memory tools and match Mem0 naming.
          * **CLI commands:** Added `init`, `status`, `config`, `import`, `event list`, and `event status`.
          * **Modular architecture:** Extracted tools, CLI, filesystem safety, and backend modules.
          * **Security and tests:** Added path traversal protection, pinned dependencies, and 329 tests across 10 files.
        </Update>

        <Update label="2026-04-03" description="openclaw-mem0 v1.0.3">
          **Fixes:**

          * **Path traversal protection:** Added `safePath()` containment checks for skill and domain-overlay reads.
          * **Noise filter correction:** Restored the `Post-Compaction` pattern after an incorrect rename.

          **Security:**

          * Pinned `mem0ai` to exact `2.3.0`.
        </Update>

        <Update label="2026-04-02" description="openclaw-mem0 v1.0.2">
          **Fixes:**

          * **Env resolution:** Removed plugin-side env-var expansion from config because OpenClaw already resolves env references before plugin registration.
        </Update>

        <Update label="2026-04-02" description="openclaw-mem0 v1.0.1">
          **New Features:**

          * **CD workflow:** Added trusted-publishing release workflow.
          * **Plugin metadata:** Added compatibility and build metadata to `package.json`.
          * **License:** Added Apache-2.0 license file.

          **Fixes:**

          * **Dream gate:** Fixed cheap-first ordering, session isolation, and completion verification.
          * **Graceful startup:** Plugin starts cleanly when no API key is configured.
        </Update>

        <Update label="2026-04-01" description="openclaw-mem0 v1.0.0">
          **New Features:**

          * **Skills-based memory architecture:** Added the skill loader, memory triage skill, memory dream skill, batched extraction, and skill-aware recall.
          * **Dream gate:** Added idle-period memory consolidation.
          * **Enhanced recall:** Added `recall.ts` with improved retrieval and injection logic.
          * **Plugin manifest:** Added `openclaw.plugin.json` and setup helper scripts.
        </Update>

        <Update label="2026-03-26" description="openclaw-mem0 v0.4.1">
          **New Features:**

          * **Extraction quality:** Improved noise filtering, deduplication, and extraction instructions.

          **Fixes:**

          * Improved credential, API key, and secret detection during extraction.
          * Prevented standalone timestamps from being stored as memories.
        </Update>

        <Update label="2026-03-16" description="openclaw-mem0 v0.4.0">
          **New Features:**

          * **Trigger filtering:** Skips recall and capture for cron, heartbeat, automation, and schedule triggers.
          * **Subagent isolation:** Routes ephemeral subagent sessions back to the parent namespace.
          * **Dynamic recall thresholding:** Drops candidates below 50% of the top score.
          * **OSS resilience:** Adds SQLite init retry and `oss.disableHistory`.

          **Fixes:**

          * Lifecycle hooks now use `ctx.sessionKey` directly, removing a concurrent-session race.
        </Update>

        <Update label="2026-03-12" description="openclaw-mem0 v0.3.1">
          **New Features:**

          * **Message filtering pipeline:** Multi-stage noise removal before extraction.
          * **Broad recall:** Short or new-session prompts trigger secondary broad search.
          * **Temporal anchoring:** Extraction instructions include the current date.

          **Changes:**

          * Extraction now reads the last 20 messages and the monolithic plugin file was split into focused modules.
        </Update>

        <Update label="2026-03-10" description="openclaw-mem0 v0.3.0">
          **Fixes:**

          * Updated `mem0ai` for the SQLite to `better-sqlite3` migration.
        </Update>

        <Update label="2026-03-09" description="openclaw-mem0 v0.2.0">
          **New Features:**

          * **Multi-agent isolation:** Added per-agent memory isolation via `agentId`.
          * **Docs:** Added guidance for understanding `userId`.

          **Fixes:**

          * Migrated platform search to the Mem0 v2 API.
        </Update>

        <Update label="2026-02-19" description="openclaw-mem0 v0.1.2">
          **New Features:**

          * Added a source field for OpenClaw memory entries.

          **Fixes:**

          * Fixed auto-recall injection and auto-capture message drops.
        </Update>

        <Update label="2026-02-02" description="openclaw-mem0 v0.1.0">
          **Initial Release:**

          * **Memory backend:** Added Mem0 Cloud and self-hosted OSS modes for OpenClaw.
          * **Auto-recall:** Injects relevant memories before each turn.
          * **Auto-capture:** Stores facts after each turn.
          * **Config:** Added `topK`, `threshold`, and `apiVersion` options.
        </Update>
      </Tab>

      <Tab title="Pi Agent">
        <Update label="2026-06-30" description="Pi Agent plugin v0.1.3">
          **New Features:**

          * **Guaranteed retrieval:** Memories relevant to each prompt are now prefetched and injected as a `<mem0-relevant-memories>` block before the agent runs, so context no longer depends on the agent remembering to search. Context injection is on by default; set `contextInjection: false` to disable.

          **Improvements:**

          * **Multi-hop retrieval:** The memory policy and the `mem0_memory` tool description now push proactive, multi-hop search -- several queries with different phrasings instead of stopping after one.
          * **Clearer tool schema:** The `mem0_memory` action and parameter descriptions (`action`, `query`, `content`, `memory_id`, `scope`) now explain each action and scope.
        </Update>

        <Update label="2026-06-12" description="Pi Agent plugin v0.1.2">
          **Fixes:**

          * **Visible command feedback:** `/mem0-remember`, `/mem0-forget`, `/mem0-pin`, and `/mem0-scope` now render persistent message blocks instead of easy-to-miss status notifications.
          * **Relevance-filtered search:** Search, forget, and pin commands now pass `threshold`, `top_k`, and `rerank` to avoid weak unrelated matches.

          **Improvements:**

          * **Richer command output:** Commands show scope, query, match counts, and affected memories.
          * **Cleaner dream flow:** `/mem0-dream` keeps the consolidation protocol hidden behind a concise status line.
          * **Configurable relevance floor:** `searchThreshold` defaults to `0.3` in `mem0-config.json` and is shown in `/mem0-status`.
        </Update>

        <Update label="2026-06-10" description="Pi Agent plugin v0.1.1">
          **Chores:**

          * Version bump to validate the new `pi-agent-plugin-checks.yml` and `pi-agent-plugin-cd.yml` release pipeline.
        </Update>

        <Update label="2026-06-09" description="Pi Agent plugin v0.1.0">
          **Initial Release:**

          * **Extension entry point:** Registers the `mem0_memory` tool, 8 slash commands, and auto-capture hooks.
          * **Agent tool:** Supports search, add, get-all, delete, and delete-all with scoped filters.
          * **Slash commands:** Adds `/mem0-remember`, `/mem0-forget`, `/mem0-search`, `/mem0-tour`, `/mem0-dream`, `/mem0-pin`, `/mem0-scope`, and `/mem0-status`.
          * **Auto-capture:** Extracts and stores memories from user and assistant messages on `agent_end`.
          * **Dream consolidation:** Merges duplicates, resolves contradictions, and prunes stale entries behind session, time, and memory-count gates.
          * **System prompt injection:** Appends `MEMORY_POLICY` before every agent turn.
          * **Project scoping:** Uses `git rev-parse --show-toplevel` for stable `app_id` values across monorepos.
          * **Scopes and categories:** Supports project, session, and global scopes plus 10 default memory categories.
          * **Agent skills:** Bundles `context-loader`, `remember`, `search`, `forget`, `dream`, `tour`, `pin`, and `status` skills.
          * **Safety:** Confirmation dialogs protect destructive commands, pins preserve memory IDs, full memory UUIDs stay visible, outputs are truncated, all tool actions respect `AbortSignal`, and shutdown releases dream locks.
          * **Telemetry:** Batched PostHog telemetry uses PII-safe error payloads.
        </Update>
      </Tab>

      <Tab title="Vercel AI SDK">
        <Update label="2026-06-10" description="Vercel AI SDK v3.0.0">
          **Major Release**: Migrated to Vercel AI SDK v6 (`LanguageModelV3` / `ProviderV3`) and Mem0 v3 API.

          **Breaking Changes:**

          * **AI SDK v6:** Upgraded from AI SDK v5 (`LanguageModelV2`) to v6 (`LanguageModelV3`). Users must upgrade `ai` to `^6.0.199` and all `@ai-sdk/*` provider packages to `^3.x` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Mem0 v3 API:** Memory endpoints migrated from `/v1/memories/` and `/v2/memories/search/` to `/v3/memories/add/` and `/v3/memories/search/`. Entity IDs (`user_id`, `agent_id`, `run_id`) now go inside the `filters` object for search requests ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Graph memory removed:** All `enable_graph`, graph prompts, and relation-extraction code removed. Graph memory is now a project-level setting on the Platform ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Deprecated params removed:** `org_id`, `project_id`, `org_name`, `project_name`, `output_format`, `filter_memories`, `async_mode`, `enable_graph`, `version`, `api_version` removed from `Mem0ConfigSettings` ([#4741](https://github.com/mem0ai/mem0/pull/4741))

          **New Features:**

          * **V3 provider contract:** `specificationVersion: 'v3'`, `supportedUrls` property, V3 content array in `doGenerate`, V3 stream lifecycle events in `doStream` ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Mem0 source in responses:** Memories are attached as a `source` in `generateText`/`streamText` responses with `providerMetadata.mem0.memories` for programmatic access ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Raw search helper:** `searchMemories()` is exported alongside `addMemories()`, `retrieveMemories()`, and `getMemories()` for callers that need raw semantic search results.
          * **Self-hosted API support:** `mem0ApiKey` and `host` can be passed per request, letting apps override the environment API key and point at a custom Mem0 API base URL.
          * **Provider coverage:** Built-in provider selection covers OpenAI, Anthropic, Google/Gemini, Groq, and Cohere through the AI SDK provider packages.
          * **Multimodal memory input:** File, image, Markdown, and PDF prompt parts are converted into the Mem0-compatible message shape when adding or searching memories.

          **Bug Fixes:**

          * **Async memory storage:** `addMemories` is now properly `await`ed: memories no longer silently fail to store ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Prompt mutation:** Prompt array is now cloned before injecting memory context, preventing side effects on the caller's array ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Null guard on content:** `doGenerate` guards against null `content` from upstream providers ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Stream response:** `doStream` now returns the full `LanguageModelV3StreamResult` object preserving all V3 fields ([#4741](https://github.com/mem0ai/mem0/pull/4741))
          * **Response normalization:** `getMemories` and `retrieveMemories` now handle both array and `{results: [...]}` envelope responses from the v3 API ([#4741](https://github.com/mem0ai/mem0/pull/4741))
        </Update>

        <Update label="2026-06-01" description="Vercel AI SDK v2.0.6">
          **Security:**

          * **Dependencies:** Pinned transitive dependencies via pnpm overrides to remediate high-severity CVEs: `glob` → ^10.5.0 (CVE-2025-64756), `minimatch` → ^3.1.3 / ^5.1.8 / ^9.0.7 (CVE-2026-27903, CVE-2026-27904, CVE-2026-26996), `picomatch` → ^2.3.2 (CVE-2026-33671), `rollup` → ^4.59.0 (CVE-2026-27606)
        </Update>

        <Update label="2025-12-26" description="Vercel AI SDK v2.0.5">
          **Bug Fix:**

          * Removed unnecessary dependencies to make the package lighter.
        </Update>

        <Update label="2025-09-25" description="Vercel AI SDK v2.0.3 – v2.0.4">
          **New Features:**

          * Added file support for multimodal capabilities with memory context (v2.0.3)

          **Bug Fix:**

          * Fixed version parameter to use V2 for addition (v2.0.4)
        </Update>

        <Update label="2025-09-03" description="Vercel AI SDK v2.0.2">
          **Bug Fix:**

          * Fixed streaming response in the AI SDK.
        </Update>

        <Update label="2025-08-05" description="Vercel AI SDK v2.0.0 – v2.0.1">
          **New Features:**

          * Migration to AI SDK V5 (v2.0.0)
          * Added `host` param to the config (v2.0.1)
        </Update>

        <Update label="2025-06-15" description="Vercel AI SDK v1.0.6">
          **New Features:**

          * Added `filter_memories` param.
        </Update>

        <Update label="2025-05-23" description="Vercel AI SDK v1.0.5">
          **New Features:**

          * Added support for Google provider.
        </Update>

        <Update label="2025-05-10" description="Vercel AI SDK v1.0.3 – v1.0.4">
          **New Features:**

          * Added support for `output_format` param (v1.0.4)

          **Improvements:**

          * Added graceful failure handling when services are down (v1.0.3)
        </Update>

        <Update label="2025-05-01" description="Vercel AI SDK v1.0.1">
          **New Features:**

          * Added support for graph memories.
        </Update>
      </Tab>
    </Tabs>
  </Tab>
</Tabs>