Which Mem0 is right for you?
Mem0 offers two powerful ways to add memory to your AI applications. Choose based on your priorities:Mem0 Platform
Managed, hassle-freeGet started in 5 minutes with our hosted solution. Perfect for fast iteration and production apps.
Open Source
Self-hosted, full controlDeploy on your infrastructure. Choose your vector DB, LLM, and configure everything.
Feature Comparison
Setup & Getting Started
Setup & Getting Started
| Feature | Platform | Open Source |
|---|---|---|
| Time to first memory | 5 minutes | 15-30 minutes |
| Infrastructure needed | None | Vector DB + Python/Node env |
| API key setup | One environment variable | Configure LLM + embedder + vector DB |
| Maintenance | Fully managed by Mem0 | Self-managed |
Core Memory Features
Core Memory Features
| Feature | Platform | Open Source |
|---|---|---|
| User & agent memories | ✅ | ✅ |
| Smart deduplication | ✅ | ✅ |
| Semantic search | ✅ | ✅ |
| Memory updates | ✅ | ✅ |
| Multi-language SDKs | Python, JavaScript | Python, JavaScript |
Advanced Capabilities
Advanced Capabilities
| Feature | Platform | Open Source |
|---|---|---|
| Multimodal support | ✅ | ✅ |
| Custom categories | ✅ | Limited |
| Advanced retrieval | ✅ | ✅ |
| Temporal reasoning | ✅ (v3) | ❌ |
| Memory decay | ✅ (v3) | ❌ |
| Graph memory | ✅ Built-in | ✅ External graph store |
| Memory filters v2 | ✅ | ⚠️ (via metadata) |
| Webhooks | ✅ | ❌ |
| Memory export | ✅ | ❌ |
Infrastructure & Scaling
Infrastructure & Scaling
| Feature | Platform | Open Source |
|---|---|---|
| Hosting | Managed by Mem0 | Self-hosted |
| Auto-scaling | ✅ | Manual |
| High availability | ✅ Built-in | DIY setup |
| Vector DB choice | Managed | 20+ stores: Qdrant, Pinecone, Chroma, Weaviate, Milvus, pgvector |
| LLM choice | Managed (optimized) | 15+ providers: OpenAI, Anthropic, Gemini, Groq, Ollama, Together |
| Data residency | US (expandable) | Your choice |
Pricing & Cost
Pricing & Cost
| Aspect | Platform | Open Source |
|---|---|---|
| License | Usage-based pricing | Apache 2.0 (free) |
| Infrastructure costs | Included in pricing | You pay for VectorDB + LLM + hosting |
| Support | Included | Community + GitHub |
| Best for | Fast iteration, production apps | Cost-sensitive, custom requirements |
Development & Integration
Development & Integration
| Feature | Platform | Open Source |
|---|---|---|
| REST API | ✅ | ✅ (self-hosted server) |
| Python SDK | ✅ | ✅ |
| JavaScript SDK | ✅ | ✅ |
| Framework integrations | LangChain, CrewAI, LlamaIndex, and 20+ more | Same |
| Dashboard | ✅ Web-based | ❌ |
| Analytics | ✅ Built-in | DIY |
Decision Guide
Choose Platform if you want:- Fast time to market: get your AI app with memory live in hours, not weeks.
- Production-ready hosting: auto-scaling, high availability, and managed infrastructure.
- Built-in analytics: track memory usage, query patterns, and user engagement through the dashboard.
- Advanced features: webhooks, memory export, custom categories, and priority support.
- Full data control: host everything on your infrastructure with complete data residency.
- Custom configuration: choose your own vector DB, LLM provider, embedder, and deployment strategy.
- Extensibility: modify the codebase, add custom features, and contribute back to the community.
- Cost optimization: use local LLMs (Ollama), self-hosted vector DBs, and optimize for your use case.
Still not sure?
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Explore Open Source
Clone the repo and run locally to see how it works. Star us while you’re there!