Workweave Router

Workweave Router is an open-source model router for AI coding agents. It sits in front of tools such as Claude Code, Codex, Cursor, and custom agent systems, then sends each prompt to the model that best fits the task. The project is built for teams that want to reduce model spend without giving up strong reasoning for the requests that actually need it. The core idea is simple: not every coding-agent request deserves the same model. A quick file lookup, small refactor, or formatting change can often run on a cheaper or faster model. A complex architecture question or hard debugging task may still need a frontier model. Workweave Router gives builders a place to encode that tradeoff instead of hard-wiring one model into every agent call. OpenTools reviewed the public GitHub repository and the source signal from Hacker News. The repository description states that it routes prompts for agentic systems and aims to choose the right model quickly. That makes it useful for developers who are already using AI coding tools every day and are starting to feel the cost, latency, or reliability pain of sending every request through the same provider. The strongest use case is cost control for engineering teams. A team can test routing policies locally, compare model behavior on real coding tasks, and decide where cheaper models are acceptable. Solo builders can use the same pattern when experimenting with multiple model providers. Platform teams can use the project as a reference point for building internal routing layers around agent traffic. Workweave Router is not a replacement for a coding agent. It is infrastructure around the agent. Developers still need to review generated code, protect secrets, and test changes before merging. The tool is best treated as a routing control plane: useful when you already trust your agent workflow but want better model selection, clearer cost boundaries, and a path to experiment with new models without rewriting the whole stack. Pricing is best understood as open-source access plus downstream model usage. The repository is free to inspect and run, while connected model providers may charge for tokens. Before adopting it, read the README, test it on a non-production project, and compare request quality, latency, and cost across several common coding tasks. For best results, measure a fixed set of prompts before and after routing. Track token cost, answer quality, response time, and how often a human has to retry the request. Keep the policy small at first so developers can understand why a model was chosen.