As enterprise AI agents take on increasingly complex, long-horizon tasks, their performance is often restricted by their harness, the software scaffolding that connects the backbone LLM to its environment. Currently, harnesses are largely static and hand-crafted. Improving them is largely manual and
As enterprise AI agents take on increasingly complex, long-horizon tasks, their performance is often restricted by their harness, the software scaffolding that connects the backbone LLM to its environment. Currently, harnesses are largely static and hand-crafted. Improving them is largely manual and