SOURCE-LINKED INTELLIGENCE

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning strategy, action protocol, and tool/skill orchestration, can dominate the contribution of the underlying foundation model. Yet harness design remains manual, task-specific, and fundamentally unscalable. We present JIT-Agent, a harness intelligence model trained to synthesize task-adaptive agent harnesses on the fly for arbitrary off-the-shelf agentic LLMs. We formalize the agent harness as a composable, machine-generatable artifact governed by a fixed four-module protocol, and tra

Read original source ↗ Open in workspace

recordType

paper

region

Global