Omni-Context

<p align="center"><strong>English</strong> · <a href="README.zh-CN.md">简体中文</a></p>

> Plug long-term memory into any AI client via MCP. Not just storage — a second brain that spots your blind spots and challenges your thinking. Fully local, forever yours.

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<a href="https://github.com/guo6x/Omni-context/releases/latest"><strong>Download for Windows</strong></a> ·
<a href="#how-it-works">How it works</a> ·
<a href="https://guo6x.github.io/Omni-context/">Landing page</a>
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Why Omni-Context

Your AI forgets you every conversation. ChatGPT memory is shallow. Cursor's context lasts one session. Claude doesn't remember across projects.

Cloud memory means someone else's server. Mem0, Letta, Zep — all impressive, all cloud-first. Your second brain lives on their infrastructure.

Omni-Context gives every MCP-compatible AI a shared, persistent knowledge graph that lives on your machine. Plug it into Claude Desktop, Cursor, Cline, Windsurf — they all draw from the same brain. The graph grows as you work. Forever yours.

More than memory. Most "AI memory" tools are fancy databases. Omni-Context actively analyzes your knowledge graph to find gaps — topics you consume but never act on, perspectives you're missing, connections you haven't noticed. It's not just storage; it's a second brain that questions you.

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How it works

You capture anything       We build a knowledge graph     Any AI client can query it
───────────────────       ──────────────────────────     ──────────────────────────
Screen · Files · Web       Entities + Relationships      via MCP (standard protocol)
Browser extension          + vectors + full-text         Claude · Cursor · Cline · ...
                           Stored in local SQLite        12+ clients, one brain

1. Capture — screenshot, drag files, clip web pages, or hit a physical button. Anything.
2. Extract — OCR + LLM pipeline pulls out entities and their relationships into a local knowledge graph.
3. Query — any MCP-compatible AI client accesses your graph as long-term memory. Same brain, every conversation.

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What makes it different

- Not a note app — it's an AI memory layer. Your tools don't need their own memory systems; they all share Omni.
- Not cloud — SQLite on your disk. No accounts, no servers, no data ever leaves your machine.
- Not locked to one AI — MCP-native. Use Claude Desktop today, Cursor tomorrow, same memory.
- Active, not passive — the agent scans your graph for connections you've forgotten and surfaces them.
- Questions your thinking — blind spot detection finds what you're missing. Anti-consensus insights challenge your assumptions. Your graph pushes back.

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Install

Windows

Download Omni-Context-Setup-x64.msi from Releases. Double-click, done. Fully offline — Node.js runtime and embedding models are bundled.

macOS / Linux

Build scripts are ready. Community contributors with hardware: pull requests welcome.

Build from source

git clone https://github.com/guo6x/Omni-context.git
cd Omni-context
npm run install:all
npm run package

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Omni vs alternatives

| | Omni | ChatGPT Memory | Mem0 | Letta | Obsidian |
|--------------------|------|----------------|------|-------|----------|
| Runs locally | ✓ | ✗ | ✗ | ✓ | ✓ |
| MCP-native | ✓ | ✗ | ✗ | ✗ | ✗ |
| Knowledge graph | ✓ | ✗ | partial | ✓ | manual |
| Cross-AI shared | ✓ | ✗ | ✓ | ✗ | ✗ |
| Own your data | ✓ | ✗ | ✗ | ✓ | ✓ |
| Offline-first | ✓ | ✗ | ✗ | ✗ | ✓ |

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Community

- Issues — bugs, feature requests
- Discussions — ideas, Q&A
- Contributing — dev setup, architecture overview

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MIT License. Built for people who want their AI to actually know them.