Genesys Memory
AI memory system with causal graphs, multiplicative scoring, and automatic forgetting for AI agents.
Genesys is an AI memory system that ranks memories by relevance, connectivity, and recency through multiplicative scoring, while automatically pruning irrelevant memories via a lifecycle manager. It uses a causal graph to connect memories with semantic relationships rather than simple vector similarity. The server integrates with Claude Desktop and other MCP clients, supporting in-memory, PostgreSQL with pgvector, Obsidian vault, and FalkorDB backends.
Source
Repository: https://github.com/rishimeka/genesys
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[Genesys Memory on getagentictools](https://getagentictools.com/mcp/rishimeka-genesys?ref=badge) npx agentictools info mcp/rishimeka-genesys The second line is the CLI lookup for this page — handy in READMEs and docs.