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PLUR: Persistent memory for AI agents. Local-first, zero-cost

PLUR is an open-source project providing persistent memory for AI agents, storing learned knowledge as local YAML files with no cloud or API calls. It uses hybrid search (BM25+embeddings) for zero-cost retrieval, and benchmarks show Haiku+PLUR outperforms Opus without memory by 2.6x on tool routing at roughly 10x less cost.

SourceHacker News AIAuthor: mpgirro
PLUR: Persistent memory for AI agents. Local-first, zero-cost
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Key points

  • PLUR provides persistent memory for AI agents across sessions and tools, stored as plain YAML on disk.
  • It uses hybrid search (BM25 + BGE embeddings) with no per-query cost.
  • Benchmarks show Haiku+PLUR beats Opus without memory on tool routing, at a fraction of the cost.
  • Works with multiple agent tools like Claude Code, Cursor, Windsurf, and others.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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