Hugging Face released Funes, a local-first memory layer that indexes your agent's own session traces

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Funes, published September 3 by David Corvoysier, indexes raw session traces from Claude Code, Codex, pi and Hermes into one shared searchable store, giving agents `recall` and `get` tools plus an `ask` command for humans. The pipeline is deterministic rather than LLM-summarized: parse traces into turn-and-block structures, chunk, embed locally, store in Lance, then hybrid vector plus BM25 retrieval with cross-encoder reranking, recency weighting and neighbor expansion, so raw evidence is preserved instead of distilled. On two handoff-versus-recall benchmark tasks, recall was 8x cheaper on one and 4x on the other in weighted tokens per successful task.