CalibratedDecisions.

Repo · Routing & model choice

harness-router

Fast decision routing for agent harnesses — native MCP with Jev for tool selection and MCTS for multi-step decisions

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From the repository

A decision layer embedded into the harness tool-selection loop

aiai-agentsawesomejevjev-aimctsmcts-algorithmopenrouteropenrouter-api

How builders describe it

MIT-licensed Python tool router for coding agents that keeps obvious calls on a fast path, asks Jev (default typesafe/jev-1.13 via OpenRouter) for genuinely ambiguous choices, and can run bounded MCTS when multi-step consequences matter. Ships a CLI, MCP server and hook integrations.

The decision Jev makes

Pick an agent, a model, a skill from a catalog, or a function and its arguments.

Where it fits

Deciding which agent, model, skill or function should handle a request. Jev is a natural router: the options are fixed and the confidence tells you when to fall back. All 348 routing & model choice projects →

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