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AI Agents

JIT-Agent

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JIT-Agent is a meta-agent that generates and revises executable, task-specific harnesses for agentic LLMs. It includes harness designs, benchmark adapters, and candidate selection for evaluating workflows across research, office, planning, and other tasks.

Use Cases

Generate task-specific agent harnessesAdapt agent workflows using execution feedbackEvaluate agent harnesses across benchmarksBuild agents for deep researchAutomate office document tasksRun planning and workspace agents

Built With

Language
Python
Frameworks
OpenAI-compatible API · vLLM · SGLang

Tags

meta-agent · agent harnesses · harness generation · harness evolution · task-specific agents · agent evaluation · multi-benchmark