Platform vs Open Source

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** </Card>

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

</Card> </CardGroup>

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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 | |---------|----------|-------------| | **Graph Memory** | ✅ (Managed) | ✅ (Self-configured) | | **Multimodal support** | ✅ | ✅ | | **Custom categories** | ✅ | Limited | | **Advanced retrieval** | ✅ | ✅ | | **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 | Qdrant, Chroma, Pinecone, Milvus, +20 more | | **LLM choice** | Managed (optimized) | OpenAI, Anthropic, Ollama, Together, +10 more | | **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** | ✅ | ✅ (via feature flag) | | **Python SDK** | ✅ | ✅ | | **JavaScript SDK** | ✅ | ✅ | | **Framework integrations** | LangChain, CrewAI, LlamaIndex, +15 | Same | | **Dashboard** | ✅ Web-based | ❌ | | **Analytics** | ✅ Built-in | DIY | </Accordion> </AccordionGroup>

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Decision Guide

Choose Platform if you want:

<CardGroup cols={2}> <Card icon="bolt" title="Fast Time to Market"> Get your AI app with memory live in hours, not weeks. No infrastructure setup needed. </Card> <Card icon="shield" title="Production-Ready"> Auto-scaling, high availability, and managed infrastructure out of the box. </Card> <Card icon="chart-line" title="Built-in Analytics"> Track memory usage, query patterns, and user engagement through our dashboard. </Card> <Card icon="webhook" title="Advanced Features"> Access to webhooks, memory export, custom categories, and priority support. </Card> </CardGroup>

Choose Open Source if you need:

<CardGroup cols={2}> <Card icon="lock" title="Full Data Control"> Host everything on your infrastructure. Complete data residency and privacy control. </Card> <Card icon="wrench" title="Custom Configuration"> Choose your own vector DB, LLM provider, embedder, and deployment strategy. </Card> <Card icon="code" title="Extensibility"> Modify the codebase, add custom features, and contribute back to the community. </Card> <Card icon="dollar-sign" title="Cost Optimization"> Use local LLMs (Ollama), self-hosted vector DBs, and optimize for your specific use case. </Card> </CardGroup>

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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"

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