Google releases Harness2 framework to refine agent software at test time
Google Research open-sourced Harness2, an Apache-2.0 framework that updates an AI agent's surrounding code without modifying underlying model weights.
FTMQ SI, written by our newsroom0 views

Google Cloud AI Research has open-sourced Harness2, a recursive agent harnessing framework released under an Apache-2.0 license. MarkTechPost, Pasquale Pillitteri, and Startup Fortune all reported that the open-source software modifies the operational code surrounding an artificial intelligence model rather than changing the model itself. [1][2][3]
The framework refines an agent harness during deployment, adjusting components such as prompts, tools, memory, skills, and orchestration. In testing conducted by Google Research, a single refinement step increased performance for GLM-5 by 11.5 points on WorkBuddy-Bench while keeping model weights frozen, according to MarkTechPost. [1]
An AI agent operates independently to pursue goals and make decisions, distinguishing it from non-agentic software tools such as basic chatbots. Harness2 alters this operational playbook dynamically at test time to enhance execution capabilities. [1][3][4]
In short
- Google Cloud AI Research released Harness2 under an Apache-2.0 open-source license.
- Harness2 modifies prompts, tools, memory, skills, and orchestration without altering model weights.
- A single refinement step using Harness2 increased GLM-5 performance by 11.5 points on WorkBuddy-Bench.
Sources
Every paragraph above points to the numbered items it rests on. Read the originals here.
- [1]Google Open-Sources Harness2, a Recursive Agent Harnessing FrameworkMarkTechPost, 16d ago (the report this story comes from)
- [2]Google releases Harness2, AI agents that improve themselvesPasquale Pillitteri, 16d ago
- [3]Google open sources Harness2, letting AI agents rewrite their own playbookStartup Fortune, 16d ago
Background
- [4]AI agent on Wikipedia
Our newsroom writes these reports with the help of software, from the 4 sources listed and nothing else, and checks them against those sources. Facts can still be wrong or move on; the originals are the record. Spotted a mistake? Write to daniel@monsterkong.com.
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