hypermarrow-mcp

स्थानीय-प्रथम AI मेमोरी MCP सर्वर। किसी भी MCP-संगत क्लाइंट को उपयोगकर्ता की अपनी मशीन पर स्थायी मेमोरी (रिकॉर्ड / रिकॉल / समेकन) पढ़ने/लिखने की सुविधा देता है। गोपनीयता-प्रथम: कुछ भी डिवाइस से बाहर नहीं जाता।

GitHubइस MCP को आज़माएँप्रायोजित

दस्तावेज़

HyperMarrow MCP Server

Local-first AI memory layer for the Model Context Protocol.

hypermarrow-mcp lets any MCP-compatible client read and write your long-term memory:

  • record_context – remember a decision, fact, or preference
  • recall_memory – retrieve the most relevant past context
  • consolidate – merge duplicates and age out stale entries
  • file_anchor – map a short name to a local file path

All memory lives under ~/.hypermarrow/memory.json on your own machine. Nothing is sent to the cloud unless you explicitly set HYPERMARROW_ENDPOINT to your own backend.

Install

npx -y hypermarrow-mcp

Or add to your MCP client config:

{
  "mcpServers": {
    "hypermarrow": {
      "command": "npx",
      "args": ["-y", "hypermarrow-mcp"]
    }
  }
}

Product

Privacy

Memory data is stored locally. The server only talks to the client over stdio and, optionally, to a user-configured HYPERMARROW_ENDPOINT. No telemetry, no cloud sync by default.