
tt-a1i/everos-mcp
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Universal long-term memory layer for AI coding assistants, powered by EverMemOS.
概要
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
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 |
インストール
uvx evermemos-mcp@latest設定
{
"mcpServers": {
"evermemos-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["evermemos-mcp@latest"],
"env": {
"EVERMEMOS_API_KEY": "your-key-here"
}
}
}
}