Microsoft and Hugging Face's ThinkingBox-Training, now on GitHub, uses the same executable database checks that grade agents as training rewards. In one run, Qwen3.8-27B's average success rose from 51.70% to 60.78% after 50 GRPO steps, and tasks it completed correctly on all twenty attempts rose from 38 to 107. This is a follow-up to the team's first post on ThinkingBox, a benchmark that tests whether an agent's work actually changed the database it was supposed to change. In that earlier post, a model closed a customer's ticket as resolved while the carrier exception behind it was still...

Coding agents forget everything when a session ends, so each new agent on each new machine starts from zero. Hugging Face's funes is an open-source memory layer that indexes the sessions already on your machine and lets Claude Code, Codex, pi, and Hermes recall past decisions, rationale, and dead ends. In the team's benchmark, recall was 8x cheaper than a written handoff on one task and 4x cheaper on the other. The article builds on an earlier argument that coding agents already produce the record we keep losing: as they search, try approaches, hit errors, and change direction, they leave a...