tt-a1i/everos-mcp

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Repository Install

Universal long-term memory layer for AI coding assistants, powered by EverMemOS.

Обзор

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. Get your API key from EverMemOS Cloud, then add to your MCP client config: Works with , and any MCP-compatible client or agent. See docs/05-client-integrations.md for client-specific setup. - — coding:my-app, chat:preferences, study:ml-notes — memories never bleed across projects - — Query up to 10 spaces in one recall call with automatic source attribution - — Blocks API keys, passwords, tokens, private keys before storing. Asks user to confirm - — Auto-checks for similar memories in chat:* spaces.

README

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evermemos-mcp

English | 简体中文

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)

Intro video: Watch on Bilibili

Demo video: Watch on Bilibili

Quick Start

Get your API key from EverMemOS Cloud, then add to your MCP client config:

{
  "mcpServers": {
    "evermemos-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["evermemos-mcp@latest"],
      "env": {
        "EVERMEMOS_API_KEY": "your-key-here"
      }
    }
  }
}

Or run directly:

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 for client-specific setup.

What You Get

7 Tools

Tool	What it does
`list_spaces`	Discover available memory spaces
`remember`	Store context into long-term memory. Auto-detects sensitive content (API keys, passwords) and checks for conflicting memories
`request_status`	Check if a queued write has been extracted
`recall`	Search memories with 6 retrieval strategies (keyword / hybrid / vector / RRF / agentic / auto)
`briefing`	One-call session-start context restore: profile + episodes + facts + foresights

Открыть полный README на GitHub

Установка

uvx evermemos-mcp@latest

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Конфигурация

{
  "mcpServers": {
    "evermemos-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["evermemos-mcp@latest"],
      "env": {
        "EVERMEMOS_API_KEY": "your-key-here"
      }
    }
  }
}