Infini-AI-Lab Releases Hermit, an Open-Source Harness Adapter Framework for AI Agents

Infini-AI-Lab has released Hermit v0.1.0, an Apache-2.0 Python framework that trains an external "harness adapter" while the agent's model and harness stay frozen, letting Codex or Claude Code agents adapt to new tasks without fine-tuning or forking the harness. It ships five evolution methods (GEPA, SkillOpt, MetaWorld Model, Harness², Continual Harness) and reports gains over no-adapter baselines on OfficeQA, CL-Bench and ServeLearnBench with GLM 5.3 Flash, including 0.795 accuracy on CL-Bench database exploration versus a 0.580 in-context baseline. The results are self-reported and mostly single runs, and adapters can be deployed to Codex, Claude Code or Pi or exported as native plugins.