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Meta-agent: self-improving agent harnesses from live traces

Meta-agent: self-improving agent harnesses from live traces

Apr 7, 2026 AI & Machine Learning
agent llm self-improving

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Meta-agent: self-improving agent harnesses from live traces

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We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces.Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set.An LLM judge scores unlabeled production traces as they stream.A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy.On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%.We open-sourced meta-agent. It currently supports Claude Agent SDK, with more frameworks coming soon.Try it here: https://github.com/canvas-org/meta-agent

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