stanford-iris-lab/meta-harness

Reference code for the Meta-Harness paper.

About the project

Meta-Harness is a framework that automatically searches for task-specific harnesses, the surrounding code that controls what a fixed model stores, retrieves, and displays during work. Researchers and developers use it to optimize agent workflows, with reference experiments for text classification and terminal tasks; catalogue skills are examples of applying this approach.

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meta-harness

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stanford-iris-lab/meta-harness

Skill Claude CodeCodex

Run one iteration of memory system evolution. Called by metaharness.py or interactively via /meta-harness.

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