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Harness²

Harness the agent. Then harness its self-improvement.

Listing details

HiCyou directory record

Listed
Listed website
github.com
Directory record created
Oct 21, 2026
Last record update
Oct 21, 2026

Listing information

  • Overview
  • 6 key features
  • 3 use cases

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Harness² preview

What is Harness²

Harness² is an open-source recursive agent harnessing framework from Google Research. It enables LLM agents to automatically evolve their own execution harnesses—prompts, tools, and memory—for open-world tasks, without requiring ground-truth verifiers. The framework uses dual recursion: task-level Propose-Probe-Compose refinement and harnessing-level accumulation of reusable experience.

Key Features

Recursive self-improvement of agent harnesses (prompts, tools, memory)
Propose-Probe-Compose task-level refinement loop
Harnessing-level accumulation of reusable experience across tasks
Works without ground-truth verifiers
Plug-and-play integration with LLM agents
Open source on GitHub

Use Cases

  • Improving LLM agent performance on open-world tasks
  • Automatically optimizing prompts, tool use, and memory for agents
  • Accumulating reusable harnessing experience across professional workflows

Why do startups need this tool?

Harness² offers startups a research-backed, open-source way to boost LLM agent reliability and performance without manual prompt and tool engineering, making advanced agent self-improvement accessible to small technical teams.

FAQs

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