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šŸ§ Self-Harness: Harnesses that improve themselves New paper on agents shaping their own harnesses to improve over time. Not from LangChain, b

AimostAll news brief curated from Harrison Chase.

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AI Agents Harrison Chase 2026-06-23

Source details

Original source
Harrison Chase
Published
2026-06-23
Primary topic
AI Agents

Why it matters

Agent products, browser agents, autonomous workflows, operator systems, and orchestration tools. This item originated as a short-form social post, so the context blocks below help expand it into tools, models, and evaluation guides.

What happened

šŸ§ Self-Harness: Harnesses that improve themselves New paper on agents shaping their own harnesses to improve over time. Not from LangChain, but builds on top of DeepAgents! Three key steps: 1/ Weakness mining: find failure modes from traces 2/ Harness proposal: suggest changes to the harness 3/ Proposal validation: does regression testing on proposals and then accepts Paper: arxiv.org/pdf/2606.09498 Builds on top of DeepAgents: github.com/langchain-ai/deepā€¦

What to do next

Move into automation and workflow tools next so you can evaluate whether the agent story is actionable or still mostly experimental.

šŸ§ Self-Harness: Harnesses that improve themselves New paper on agents shaping their own harnesses to improve over time. Not from LangChain, but builds on top of DeepAgents! Three key steps: 1/ Weakness mining: find failure modes from traces 2/ Harness proposal: suggest changes to the harness 3/ Proposal validation: does regression testing on proposals and then accepts Paper: arxiv.org/pdf/2606.09498 Builds on top of DeepAgents: github.com/langchain-ai/deepā€¦

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