TLDR Tech / Dev
The Anatomy of an Agent Harness
An AI agent is defined as the functional combination of a core language model and a surrounding "harness" that provides the code, configuration, and logic necessary for execution. This infrastructure allows models to perform tasks they cannot do alone, such as maintaining durable state via filesystems, executing code in secure sandboxes, and using memory for continual learning. Effective harness engineering also involves managing context rot through strategies like compaction and implementing verification loops to make sure long-horizon autonomous work remains accurate.
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