
genesys-memory
MCP server by github.com/rishimeka/genesys
Causal graph memory engine for AI agents with scoring, activation, and forgetting
About genesys-memory
genesys-memory is an MCP (Model Context Protocol) server published by rishimeka in the official MCP registry, listed under Autonomous Agents on Loomal. Causal graph memory engine for AI agents with scoring, activation, and forgetting
It ships as a Python package on PyPI (genesys-memory), so any MCP client that can launch a local process can run it.
Development happens in the open at github.com/rishimeka/genesys, where the project has earned 16 GitHub stars.
Use genesys-memory with your agent
claude mcp add genesys-memory -- uvx genesys-memory{
"mcpServers": {
"genesys-memory": {
"command": "uvx",
"args": [
"genesys-memory"
]
}
}
}genesys-memoryFrequently asked questions
- What is genesys-memory?
- genesys-memory is an MCP (Model Context Protocol) server by rishimeka in the Autonomous Agents category. Causal graph memory engine for AI agents with scoring, activation, and forgetting
- How do I connect genesys-memory to Claude, Cursor, or another MCP client?
- Install genesys-memory from its pypi package (genesys-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 genesys-memory open source?
- Yes — the source code is public at github.com/rishimeka/genesys, with 16 GitHub stars.
- Can AI agents pay to use genesys-memory?
- Not yet through Loomal — genesys-memory 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 genesys-memory? Claim this listing free by verifying GitHub ownership, or contact us.