HyperMarrow MCP Server

MCP serverDocs & knowledge

Lets your agent save and recall memories locally on your own machine.

Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.

Add to setup to save this item as a reference. ahel cannot run it, and signing in will not install it.

About this server

Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.

Getting started

  1. Save this item in Your setup as a reference.
  2. Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
  3. Check this page for availability before trying to install it through ahel.

From the project's README

As published by qianqiuwanzi/hypermarrow-mcp in README.md.

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.

Signals

Last commit
Sep 2026
Weekly downloads
58
Advanced
Delivery
hypermarrow-mcp MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-qianqiuwanzi-hypermarrow-mcp
Source
github.com/qianqiuwanzi/hypermarrow-mcp