Parth Sharma
87 lines
3.3 KiB
Plaintext
87 lines
3.3 KiB
Plaintext
---
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title: "Overview"
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icon: "code-branch"
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iconType: "solid"
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description: "Self-host Mem0 with full control over your infrastructure and data"
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---
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<Tip>
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**Mem0 v1.0.0 is now available** — Introducing rerankers, async by default, Azure support, and more. [View changelog →](/changelog)
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</Tip>
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## Self-Host Mem0 with Full Control
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Mem0 Open Source gives you a powerful, self-hosted memory layer for AI agents. Deploy on your infrastructure, customize every component, and maintain complete data ownership.
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## Get Started
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Choose your preferred SDK and get Mem0 running locally in minutes:
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<CardGroup cols={2}>
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<Card title="Python Quickstart" icon="python" href="/open-source/python-quickstart">
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Install and configure Mem0 OSS with Python in 10 minutes
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</Card>
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<Card title="Node.js Quickstart" icon="node" href="/open-source/node-quickstart">
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Set up Mem0 OSS with Node.js and TypeScript support
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</Card>
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</CardGroup>
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## Explore OSS Capabilities
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Mem0 Open Source offers powerful features for building production-grade AI applications with memory. From graph-based knowledge structures to flexible component configuration, you have full control over how memory works in your system.
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<CardGroup cols={3}>
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<Card title="Graph Memory" icon="network-wired" href="/open-source/graph_memory/overview">
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Build relationship-aware memory with knowledge graph capabilities
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</Card>
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<Card title="Component Configuration" icon="sliders" href="/open-source/configuration">
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Choose your LLM, vector database, embedding model, and rerankers
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</Card>
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<Card title="REST API" icon="bolt" href="/open-source/features/rest-api">
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Build high-throughput pipelines with async clients and REST endpoints
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</Card>
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</CardGroup>
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<Note>
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**Platform vs OSS?** See our [comparison guide](/platform/platform-vs-oss) to understand which deployment option fits your use case.
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</Note>
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---
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## Why Choose Open Source?
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| Benefit | What You Get |
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|---------|--------------|
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| **Full Infrastructure Control** | Host on your own servers with complete access to configuration and deployment |
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| **Complete Customization** | Modify implementation, extend functionality, and adapt to your specific needs |
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| **Local Development** | Perfect for development, testing, and air-gapped environments |
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| **No Vendor Lock-in** | Own your data, choose your stack, and maintain full independence |
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| **Community Driven** | Contribute to and benefit from active community improvements and integrations |
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<Info>
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**Looking for production scale?** [Mem0 Platform](/platform/overview) offers managed infrastructure with advanced features like webhooks, multimodal support, and enterprise support.
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</Info>
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<Note>
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**Need help?** Check out our [GitHub repository](https://mem0.dev/gd) for source code, issues, and community discussions.
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</Note>
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---
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## Default Components
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<Note>
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**No configuration needed to get started.** Mem0 works out of the box with sensible defaults:
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- **LLM**: OpenAI `gpt-4.1-nano-2025-04-14` via your `OPENAI_API_KEY`
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- **Embeddings**: OpenAI `text-embedding-3-small` (1536 dimensions)
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- **Vector store**: Local Qdrant instance storing data at `/tmp/qdrant`
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- **History storage**: SQLite database at `~/.mem0/history.db`
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- **Reranker**: Disabled unless you configure one
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Override any component with [`Memory.from_config`](/open-source/configuration).
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</Note>
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