Point Claude Code at one endpoint. If quota runs out, it silently slides to GPT-4o mini. If that's rate-limited, it picks Gemini 2.5 Flash. If that's congested, it falls through to a free provider. The developer never sees a single error. This is not a vision for the future. It works today. It is called OmniRoute, it is MIT-licensed, and 22,200 developers have already starred it on GitHub.
OmniRoute is an open-source AI gateway that sits between your coding tools and 271 different AI providers. It exposes a single OpenAI-compatible endpoint at localhost:20128/v1, then routes each request through an intelligent auto-fallback system that spans paid APIs, cheap tier models, and completely free providers. The project has 5,439 commits from over 500 contributors and ships as an npm package, a Docker container, a desktop Electron app, and a PWA.
The Numbers Behind the Project
The scale of OmniRoute's provider catalog is the first thing that stands out. Where most AI routers support 20 to 100 providers, OmniRoute ships with 271. More importantly, 90 of those have free tiers, and 40 are free forever with no token cap. The dashboard calculates honest pool-deduped free budget math and shows it as a live number: roughly 1.4 billion free tokens per month from documented free tiers alone.
The project currently sits at version 3.8.49 on its release branch. It was updated two hours ago at the time of this writing. The commit history shows sustained development across multiple core contributors, with the release/v3.8.x branch alone containing hundreds of merged pull requests covering everything from compression engine patches to new provider integrations.
Smart Routing Is the Core Feature
OmniRoute's routing engine is what separates it from simpler proxies. It supports 18 routing strategies, from straightforward priority lists and round-robin to sophisticated options like context-relay (hand off long conversations across models) and fusion (fan out requests to a panel of models and let a judge synthesize the best answer).
The combo system chains models automatically. A developer can set their model to simply "auto" and OmniRoute builds a virtual chain from connected providers, scored on 12 live factors including health, remaining quota, cost per token, latency, and success rate. There are auto variants optimized for coding (quality-first weights), speed (lowest latency first), cost (cheapest per token), and offline mode (most rate-limit headroom first).
For teams, Quota-Share routing distributes a single upstream account across multiple keys fairly. Each key gets a configurable allocation weight, and idle shares are lent out so no quota goes wasted. The system tracks usage across 5-hour and 7-day windows per model, with hard and soft enforcement policies.
Token Compression That Actually Works
The project's compression system combines two engines: RTK (which strips redundant command output from coding sessions) and Caveman (which aggressively compresses conversational tokens without breaking semantics). Stacked together, they claim 15 to 95 percent token reduction, averaging around 89 percent on tool-heavy sessions. That means less API spending and fewer rate limit hits, which matters a lot when you are routing through free tiers.
Compression is pluggable with 11 composable engines and a drag-reorder editor in the dashboard. The latest v3.8 updates added inflation guards and language-specific packs for French, German, Japanese, and Chinese.
MCP, A2A, and the Protocol Surface
OmniRoute includes a built-in MCP server with 104 tools across three transports and 31 scopes. It also implements Google's A2A agent-to-agent protocol with JSON-RPC 2.0, supporting six skills, streaming, and task management. That means OmniRoute can act as an agent hub, not just a router. You can run MCP-compatible agents through it, chain A2A skills together, and expose the whole setup to any IDE or CLI that speaks OpenAI's API format.
The compatibility list covers every major coding tool: Claude Code, OpenAI Codex, Cline, Roo Code, Continue, Aider, Cursor, Kilo Code, and Copilot. All of them point at the same local endpoint. All of them get the same auto-fallback, compression, and cost optimization.
What This Means for Developers
The open-source AI gateway category has been fragmented. LiteLLM covers around 100 providers. OpenRouter offers a managed service with a handful of free models. Portkey focuses on observability and governance. OmniRoute tries to own the entire stack: more providers than anyone else, more routing strategies, MCP and A2A built in, local-first privacy, and a desktop UI that makes management actually pleasant.
The most interesting part is the free tier math. If the 1.4 billion free tokens per month figure holds up in practice, a solo developer or small team could run their entire AI-assisted workflow without paying a cent. That is a genuinely different value proposition from anything else in the space. The project is transparent about it too: the free tier budget is audited every two weeks against the live catalog, and a CI gate fails the build if the headline number drifts from the code.
For developers who have been juggling multiple API dashboards, expiring keys, and surprise bills, OmniRoute solves a real pain. One install command, one endpoint, and the router handles the rest. The project is live now at github.com/diegosouzapw/OmniRoute, installable via npm install -g omniroute.