AgentRoute – Local model routing by task

Automatically send each agent session to the right model and save money

Problem

Developers now subscribe to multiple AI coding plans (Claude, Codex, Cursor, Qoder, etc.), but each has a small quota. They manually decide which model to use for planning, coding, review, or unit tests, and constantly switch tools. Someone even built a desktop app just to aggregate them, showing this multi-model juggling is a real, recurring pain.

Solution

A local routing layer where users preset models and quota policies per task type (planning, coding, CR, testing). A unified API proxy forwards requests to the right provider, tracks usage and remaining quota in real time, and auto-degrades to a backup model before overage. Works with OpenAI/Anthropic-compatible endpoints.

Users

Indie developers and small teams juggling multiple AI coding subscriptions; heavy agent users sensitive to cost who want to squeeze every plan.

MVP

Local proxy compatible with OpenAI/Anthropic APIs; config file mapping task types to providers; usage and quota dashboard; auto-switch to backup model rules; one-click export/migrate session history between models.

Revenue

Open-source core plus paid Pro (team sharing policies, history analytics, multi-device sync). ~$29 one-time personal license, $10/seat/month for teams.

Why now

AI coding tools have entered a multi-subscription era with small, fragmented quotas, forcing users to hop across GUIs/CLIs. A neutral local router sits in the gap and is buildable by one indie dev without model capabilities.