HyperMarrow MCP Server
MCP serverDocs & knowledgeLets 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
- Save this item in Your setup as a reference.
- Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
- 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 preferencerecall_memory– retrieve the most relevant past contextconsolidate– merge duplicates and age out stale entriesfile_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
- Homepage: https://hm.qianshi.cool/
- Company: 千视科技 (qianshi.cool)
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
github.com/qianqiuwanzi/hypermarrow-mcp
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