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Knowledge & Memory (RAG) #Python#本地运行#MIT

Long-Term Memory

A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.

Knowledge & Memory (RAG) 0 platforms 0 features

Install

uvx long-term-memory

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "long-term-memory": {
      "command": "uvx",
      "args": [
        "long-term-memory"
      ],
      "env": {
        "AIMEMORY_DB_PATH": "<AIMEMORY_DB_PATH>",
        "AIMEMORY_LANGUAGE": "<AIMEMORY_LANGUAGE>",
        "AIMEMORY_GRAPH_RAG": "<AIMEMORY_GRAPH_RAG>",
        "AIMEMORY_LIVE_HOST": "<AIMEMORY_LIVE_HOST>",
        "AIMEMORY_LIVE_PORT": "<AIMEMORY_LIVE_PORT>",
        "AIMEMORY_LOG_LEVEL": "<AIMEMORY_LOG_LEVEL>",
        "AIMEMORY_EMBEDDING_MODEL": "<AIMEMORY_EMBEDDING_MODEL>",
        "AIMEMORY_ENHANCED_POLICY": "<AIMEMORY_ENHANCED_POLICY>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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