jeffpierce/memory-palace
Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph
Implements centrality-weighted retrieval that combines semantic similarity with access frequency and graph importance, plus multi-instance pub/sub messaging built directly into the memory layer. Runs entirely locally via Ollama for embeddings and LLM operations, with support for both SQLite (personal) and PostgreSQL+pgvector (team) backends, and integrates natively with any MCP-compatible client through 13 tools including semantic code search via prose descriptions rather than raw token matching.
Stars
31
Forks
5
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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