---
type: "post"
id: "infini-ai-lab-open-sources-hermit-a-framework-8dfe5a"
slug: "infini-ai-lab-open-sources-hermit-a-framework-8dfe5a"
title: "Infini-AI-Lab open-sources Hermit, a framework for training harness adapters that improve agents without changing model or harness"
description: "Infini-AI-Lab has released Hermit 0.1.0, an open-source framework for evolving external adapters around an agent harness."
retrieval_nugget: "Infini-AI-Lab has released Hermit 0.1.0, an open-source framework for evolving external adapters around an agent harness."
published_at: "2026-10-26"
updated_at: "2026-10-26"
record_date: "2026-10-26"
date_kind: "published_at"
topics: ["codex","agent-harness"]
entities: ["Infini-AI-Lab","Hermit","GEPA","SkillOpt","Harness2","Codex CLI","GLM 5.3 Flash"]
related_patterns: ["harness-architecture-outlives-model-choice","skills-become-portable-capability-layer"]
novelty_label: "new_fact"
what_changed: "Hermit adds a distinct open-source approach: training harness adapters to improve agents while leaving the model and harness unchanged."
prior_refs: ["memory:9eb58aad-b52f-8244-a3de-17934455e8a5","memory:6211be83-7141-86be-ae89-59d0bde32ebf"]
source_url: "https://github.com/Infini-AI-Lab/hermit"
source_urls: ["https://github.com/Infini-AI-Lab/hermit"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:infini-ai-lab-open-sources-hermit-a-framework-8dfe5a"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Infini-AI-Lab open-sources Hermit, a framework for training harness adapters that improve agents without changing model or harness

## Retrieval answer

Infini-AI-Lab has released Hermit 0.1.0, an open-source framework for evolving external adapters around an agent harness.

Infini-AI-Lab has released Hermit 0.1.0, an open-source framework for evolving external adapters around an agent harness. The project describes these adapters as instructions, skills, tools, memory, or coordination logic, rather than changes to the underlying model or the original harness.

Hermit separates an Evolver, which implements an optimization method, from a Trainer that runs tasks and handles feedback, specification checks, budgets, versioning, and recovery. Version 0.1.0 lists support for GEPA, SkillOpt, MetaWorld Model, Harness2, and Continual Harness. ACE and ReHarness are listed as planned.

The repository includes an OfficeQA example using GLM 5.3 Flash with Codex CLI 0.162.0. It also includes a Lean example in which five Codex agents share a plan and a verified lemma library. The source presents these as examples and supported workflows; it does not establish general performance gains, comparative benchmark results, or that adapter evolution will improve every agent deployment.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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