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mempalace

Developed by MemPalace
Open Source Python Global free #ai#chromadb#llm#mcp#memory

MemPalace is a local-first AI memory tool designed to store conversation history verbatim and retrieve it through semantic search, without summarizing or paraphrasing. It utilizes a structured index, categorizing information into "wings," "rooms," and "drawers" to enable scoped searches. The retrieval layer is pluggable (ChromaDB by default), ensuring all data remains on the user's machine unless opted out. It achieves an impressive 96.6% R@5 raw recall on the LongMemEval benchmark, notably without requiring LLMs or API calls, showcasing high performance in a local environment.

  • Local-first AI memory with verbatim semantic search
  • Structured indexing system (wings, rooms, drawers)
  • Pluggable retrieval backend (ChromaDB default)
  • High recall local retrieval (96.6% R@5 on LongMemEval)
  • Integrated knowledge graph and MCP tool ecosystem
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