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Knowledge & Memory (RAG) #JavaScript#混合部署#MIT

Hystersis MCP Server

Connects AI assistants to a persistent memory engine with Neo4j knowledge graph and ProMem extraction, enabling long-term context and associative memory across chats and workspaces.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y hystersis-mcp

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

{
  "mcpServers": {
    "hystersis-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "hystersis-mcp"
      ],
      "env": {
        "HYSTERSIS_API_KEY": "<HYSTERSIS_API_KEY>",
        "HYSTERSIS_API_URL": "<HYSTERSIS_API_URL>"
      }
    }
  }
}

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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