funes: Local Memory for Coding Agents, Built on Lance

Funes is a local memory system for coding agents that indexes past sessions from tools such as Claude Code, Codex, pi, and Hermes into a Lance dataset, enabling agents to retrieve prior reasoning, decisions, and debugging context through recall and get commands. It preserves original transcript passages rather than using LLM-generated summaries during ingestion, while an optional ask command retrieves relevant local evidence and has a selected agent formulate an answer. Designed with privacy in mind, Funes processes and embeds traces locally, records the embedding model for compatibility, and can use credential scanning and fail-closed checks before shared data is published. Lance provides a single versioned artifact containing text, provenance, embeddings, and BM25 and vector indexes, supporting incremental updates, rollback, local or object-storage operation, and efficient hybrid retrieval. Searches combine semantic vector matching, exact-term BM25 search, reranking, and recency weighting, allowing future agents to access auditable evidence from earlier work without treating the system as a rewritten knowledge base.

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