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Harness Router
A fast decision layer for smarter AI tool routing.
18 followers
A fast decision layer for smarter AI tool routing.
18 followers
Harness Router is a decision layer for AI coding agents that improves tool selection before execution. Use it as a Codex hook for automatic routing on every tool call, or as a skill when you want explicit, agent-invoked decisions. It keeps obvious choices fast, uses Jev for ambiguity, and applies MCTS when multi-step consequences matter.
UTCP
Hey Product Hunt 👋
I built Harness Router to solve a problem I kept seeing in agentic systems: models spending too much time, tokens, and money deciding which tool to call.
The idea is simple: obvious calls take the fast path, ambiguous calls can use Jev, and harder multi-step decisions can use bounded MCTS.
You can integrate it directly as a routing layer, expose it through MCP, or use Codex hooks so tool selection is checked automatically before execution. With SessionStart + PreToolUse, Codex can discover its available tools once and route or re-plan calls through Harness Router transparently.
It’s framework-agnostic and fully open source.
I’m especially interested in feedback from people building coding agents, MCP servers, Codex workflows, or other tool-heavy agent systems. If you try it, I’d love to hear where the routing works well—and where it breaks. 🚀