Harness Router

Harness Router is an innovative decision layer designed for AI coding agents, aimed at enhancing tool selection accuracy before execution. It functions as both an automatic routing mechanism via Codex hooks and as an explicit decision-maker when agents need to choose among multiple tools. By streamlining obvious choices for speed, employing Jev for handling ambiguous situations, and utilizing Monte Carlo Tree Search (MCTS) for multi-step consequence analysis, Harness Router offers a sophisticated approach to AI tool routing. This makes it particularly valuable for developers and AI practitioners who seek smarter, more efficient tool invocation within complex workflows. Its ability to optimize decision-making processes ensures that AI agents operate more effectively, reducing errors and improving overall performance. The tool's open-source nature and focus on intelligent routing make it a compelling addition to any AI development stack focused on automation and precision.