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Penfield

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About

Penfield is a persistent memory plugin for OpenClaw agents, providing long-term recall, knowledge graphs, and cross-channel context. It uses hybrid search combining BM25, vector, and graph-based retrieval to surface relevant memories. Designed as a native plugin rather than an MCP server, Penfield achieves 4-5x faster performance while giving agents the ability to remember conversations, learn from interactions, and build structured knowledge over time.

Key Features

  • Long-term memory and recall
  • Knowledge graph construction
  • Cross-channel context sharing
  • Hybrid search (BM25 + vector + graph)
  • Native plugin (4-5x faster than MCP)

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