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Platform vs Open Source

docs/platform/platform-vs-oss.mdx

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Which Mem0 is right for you?

Mem0 offers two powerful ways to add memory to your AI applications. Choose based on your priorities:

<CardGroup cols={2}> <Card title="Mem0 Platform" icon="cloud" href="/platform/quickstart" > **Managed, hassle-free**
Get started in 5 minutes with our hosted solution. Perfect for fast iteration and production apps.
</Card>

<Card title="Open Source" icon="code-branch" href="/open-source/python-quickstart"

**Self-hosted, full control**
Deploy on your infrastructure. Choose your vector DB, LLM, and configure everything.
</Card> </CardGroup>

Feature Comparison

<AccordionGroup> <Accordion title="Setup & Getting Started" icon="rocket"> | 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 | </Accordion> <Accordion title="Core Memory Features" icon="brain"> | Feature | Platform | Open Source | |---------|----------|-------------| | **User & agent memories** | ✅ | ✅ | | **Smart deduplication** | ✅ | ✅ | | **Semantic search** | ✅ | ✅ | | **Memory updates** | ✅ | ✅ | | **Multi-language SDKs** | Python, JavaScript | Python, JavaScript | </Accordion> <Accordion title="Advanced Capabilities" icon="sparkles"> | Feature | Platform | Open Source | |---------|----------|-------------| | **Multimodal support** | ✅ | ✅ | | **Custom categories** | ✅ | Limited | | **Advanced retrieval** | ✅ | ✅ | | **Criteria retrieval** | ✅ | ❌ | | **Temporal reasoning** | ✅ (v3) | ❌ | | **Memory decay** | ✅ (v3) | ❌ | | **Graph memory** | ✅ Built-in | ✅ External graph store | | **Memory filters v2** | ✅ | ⚠️ (via metadata) | | **Webhooks** | ✅ | ❌ | | **Memory export** | ✅ | ❌ | </Accordion> <Accordion title="Infrastructure & Scaling" icon="server"> | 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 | </Accordion> <Accordion title="Pricing & Cost" icon="dollar-sign"> | 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 | </Accordion> <Accordion title="Development & Integration" icon="code"> | 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 | </Accordion> </AccordionGroup>

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.

Choose Open Source if you need:

  • 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?

<CardGroup cols={2}> <Card title="Try Platform Free" icon="rocket" href="https://app.mem0.ai/login?utm_source=oss&utm_medium=platform-vs-oss" > Sign up and test the Platform with our free tier. No credit card required. </Card>

<Card title="Explore Open Source" icon="github" href="https://github.com/mem0ai/mem0"

Clone the repo and run locally to see how it works. Star us while you're there!
</Card> </CardGroup>