Diffbrief Engineering daily

← Wednesday, October 14, 2026AgentsPaper

ReTerm trains terminal agents to recover from their own failures

huggingface.co by Wei Xie et al. Editor score 8/10

ReTerm-GRPO forks from failed task states to train independent recovery attempts; ReTerm-9B reaches 34.8% Pass@1 on Terminal-Bench 2.0, 14.6 points above its base model. The released code, data, and model make this recovery-training recipe directly testable.

What
ReTerm is a terminal agent trained to recover from failures in long-running coding tasks.
Method
ReTerm-10K supplies recovery demonstrations for supervised fine-tuning; ReTerm-GRPO generates independent attempts from the agent’s failure states.
Why it matters
Learning whether recovery attempts complete tasks aims to help engineers build agents that can self-correct during long-running terminal work.
reaches forks attempts learns from success agent failure states self-recoveryattempts
ReTerm-GRPO uses attempts from agent failure states to learn recovery. Sketched from the article's own text.

Read on huggingface.co → Code · 7 stars

Discussion

Discussion is not switched on yet. Use Note above to keep your own thoughts on this story.

Headline, summary, brief and diagram are written by a model from the source's own text; the link, byline and numbers come from the source. Read the original before relying on a claim.

Your note

Private to you. Stored in this browser, and synced to your account when you are signed in.