TeamMemory
MCP server by github.com/ysydhc/team_memory
Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.
About TeamMemory
TeamMemory is an MCP (Model Context Protocol) server published by ysydhc in the official MCP registry, listed under Knowledge & Memory on Loomal. Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.
It ships as a Python package on PyPI (team_memory), so any MCP client that can launch a local process can run it.
Development happens in the open at github.com/ysydhc/team_memory, where the project has earned 1 GitHub stars.
Use TeamMemory with your agent
claude mcp add teammemory -- uvx team_memory{
"mcpServers": {
"teammemory": {
"command": "uvx",
"args": [
"team_memory"
]
}
}
}team_memoryFrequently asked questions
- What is TeamMemory?
- TeamMemory is an MCP (Model Context Protocol) server by ysydhc in the Knowledge & Memory category. Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.
- How do I connect TeamMemory to Claude, Cursor, or another MCP client?
- Install TeamMemory from its pypi package (team_memory) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
- Is TeamMemory open source?
- Yes — the source code is public at github.com/ysydhc/team_memory, with 1 GitHub stars.
- Can AI agents pay to use TeamMemory?
- Not yet through Loomal — TeamMemory is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain TeamMemory? Claim this listing free by verifying GitHub ownership, or contact us.