AI Research
Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity
Rethinking the agent loop through a minimalist framework for complex workflow orchestration
Modern language-model agents are built around the \textit{agent loop}, where the LLM is placed in an environment exposing a set of tools, and the LLM has full control over the workflow by alternating between tool calls and observing their output. However, certain workflows curren...
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ArXiv CS.AI
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ArXiv CS.AI
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This framework moves beyond traditional agent loops by treating system interactions as a structured, expressive language rather than just a series of procedural calls. It enables developers to orchestrate complex AI workflows with significantly higher control and architectural transparency.
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