Understand this story
On October 25, 2026, Infini-AI-Lab released the open-source framework Hermit, which adapts AI agents by training external harness adapters while keeping the model and harness frozen. According to a MarkTechPost report, version v0.1.0 of the framework is implemented in Python under the Apache-2.0 license and can be installed with pip install hermit-harness; it includes five built-in evolution methods: GEPA, SkillOpt, MetaWorld Model, Harness2, and Continual Harness. The report states that on GLM 5.3 Flash, the MWM adapter achieved 0.795 accuracy on the CL-Bench database exploration task, higher than the in-context baseline of 0.580, but most results are self-reported data from single runs. There are currently no subsequent developments.
AI-generated from public reports
Latest development · Report
Infini-AI-Lab open-sources the Hermit harness adapter frameworkDevelopments
1 confirmed developments
Infini-AI-Lab releases open-source harness adapter framework Hermit
Source:MarkTechPost
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Oct 29
MarkTechPost
Infini-AI-Lab open-sources the Hermit harness adapter framework
Infini-AI-Lab has released the open-source framework Hermit, which adapts AI agents by training external harness adapters while keeping the model and harness frozen; v0.1.0 was released on October 25, 2026. The framework is implemented in Python under the Apache-2.0 license and can be installed via pip install hermit-harness, and it includes five evolution methods: GEPA, SkillOpt, MetaWorld Model, Harness², and Continual Harness. On GLM 5.3 Flash, the MWM adapter achieved 0.795 accuracy on the CL-Bench database exploration task, higher than the in-context baseline of 0.580, but most results are self-reported data from a single run.