AI Weekly Malaysia

Funes is a single-binary memory layer for coding agents (Claude Code, Codex, pi, Hermes) that indexes session traces locally into a Lance dataset using a pinned local embedding model, then exposes recall and get tools so agents can retrieve past decisions during new sessions. It combines vector and BM25 search with cross-encoder reranking, indexes incrementally, and can optionally sync to a private Hugging Face dataset you own.

Why: If you switch between coding agents or machines and lose the rationale behind past decisions, funes lets your agent self-serve that context mid-conversation without you pasting old session logs. Install is one curl + one 'funes add <agent>' command, and everything runs locally with no ML runtime dependency, so you can try it on an existing project today without cloud costs.