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

Published September 3 by David Corvoysier, Funes 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. Raw evidence preserved instead of distilled. On two handoff-against-recall benchmark tasks, recall was 8x cheaper on one and 4x on the other in weighted tokens per successful task.