by canvas-org · Agent Tool · ★ 55
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meta-agent Recursive self-improvement for agents, starting with the harness. Results · How it works · Quickstart · Learn more meta-agent is an open-source framework for automatic harness optimization. System prompts, tools, hooks, stop conditions, subagents, and control flow become editable surfaces that the optimizer rewrites from execution traces. It reads execution traces from the current harness, proposes a targeted change, evaluates the candidate on a search split, and keeps it only when the held-out score improves. meta-agent is an open-source project from Canvas Labs. Results Agent harness optimization On tau-bench v3 airline, meta-agent improved a frozen Haiku 4.5 agent from 67% to 87% holdout within 4 to 10 iterations. No fine-tuning, no model changes, no benchmark changes. The optimizer rewrote the harness around the model: system instructions, tool-use discipline, stop hooks, turn budget, and control flow. The model st
| Stars | 55 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.2460202046563/100 |
| Last Updated | 2026-05-14 |
| Created | 2026-04-06 |
| Platforms | claude-code, python |
| Est. Tokens | ~37k |
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meta-agent is Continual harness optimization. It is categorized as a Agent Tool with 55 GitHub stars.
meta-agent is primarily written in Python. It covers topics such as agent, anthropic, claude.
You can find installation instructions and usage details in the meta-agent GitHub repository at github.com/canvas-org/meta-agent. The project has 55 stars and 5 forks, indicating an active community.
meta-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to meta-agent on Agent Skills Hub include claudex, omnicoreagent, claudepro-directory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.