io.github.qianqiuwanzi/hypermarrow-mcp
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
hypermarrow-mcpclaude mcp add hypermarrow-mcp -- npx -y hypermarrow-mcp@0.1.1
{
"mcpServers": {
"hypermarrow-mcp": {
"command": "npx",
"args": [
"-y",
"hypermarrow-mcp@0.1.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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 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.
Frequently asked questions
What is io.github.qianqiuwanzi/hypermarrow-mcp?
Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
How do I install io.github.qianqiuwanzi/hypermarrow-mcp?
It runs on your machine. In Claude Code: claude mcp add hypermarrow-mcp -- npx -y hypermarrow-mcp@0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.qianqiuwanzi/hypermarrow-mcp need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.qianqiuwanzi/hypermarrow-mcp open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.qianqiuwanzi/hypermarrow-mcp?
It is published by qianqiuwanzi. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.