MCP Server that brings long-term memory to AI coding tools via EverMemOS
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# evermemos-mcp [](https://pypi.org/project/evermemos-mcp/) [](https://pypi.org/project/evermemos-mcp/) [](https://github.com/tt-a1i/evermemos-mcp/actions/workflows/ci.yml) [](https://opensource.org/licenses/MIT) [English](README.md) | [简体中文](README.zh-CN.md) **Long-term memory for AI coding assistants. Remember once, recall forever.**  You spent thirty minutes explaining your architecture, naming conventions, and why you dropped MongoDB. Next session — gone. You explain it all over again. evermemos-mcp fixes this. One `remember` call stores it. One `briefing` call brings it back — across any session, any client. > **Benchmark: 60/60 recall vs 0/60 baseline. Zero attribution errors. P95 < 2s.** ([evidence](artifacts/competition/2026-02-26-formal-real-auto-all-v3/benchmark_summary.json)) > **Intro video:** [Watch on Bilibili](https://www.bilibili.com/video/BV1jMwhzKEVo) > **Demo video:** [Watch on Bilibili](https://www.bilibili.com/video/BV13twWzuETU) --- ## Quick Start Get your API key from [EverMemOS Cloud](https://evermind.ai/), then add to your MCP client config: ```json { "mcpServers": { "evermemos-mcp": { "type": "stdio", "command": "uvx", "args": ["evermemos-mcp@latest"], "env": { "EVERMEMOS_API_KEY": "your-key-here" } } } } ``` Or run directly: ```bash uvx evermemos-mcp@latest ``` Works with **Claude Code, Cursor, Cline, Cherry Studio, OpenClaw, Gemini CLI, Aider**, and any MCP-compatible client or agent. See [`docs/05-client-integrations.md`](docs/05-client-integrations.md) for client-specific setup. <details> <summary>Install from source</summary> ```bash git clone https://github.com/…
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