OmniRoute
Free AI gateway giving one endpoint for 350 providers with auto-fallback and token compression.
About
One endpoint in front of 350 model providers, more than 90 of them with free tiers, is the pitch behind OmniRoute, an MIT-licensed AI gateway that trended on GitHub through 2026 and now exceeds 54,000 stars with hundreds of contributors. It exposes over 1,200 models through an OpenAI-compatible REST API plus an MCP server with 110 tools and A2A agent protocol support, and drops into more than 35 clients including Claude Code, Cursor, Cline, Copilot, Aider, Goose, and OpenCode. A quota-aware four-tier fallback cascade routes each request from subscription to API to cheap to free capacity so coding sessions survive rate limits and outages, while a twelve-engine token compression pipeline claims savings between 15 and 95 percent depending on workload. Everything runs self-hosted: npm install -g omniroute starts the Node.js gateway, with Docker, an Electron desktop build, a PWA, and Termux on Android as alternatives. The project documents around 1.5 billion free tokens per month across provider pools. Routing still depends on hosted providers, so it is a traffic manager rather than an inference engine.
Should you use OmniRoute?
Pick it when
You run coding agents like Claude Code, Cursor, or Aider and want one self-hosted endpoint that cascades across subscription, paid, and free provider tiers so sessions survive rate limits, with token compression to stretch quotas.
Look elsewhere when
Skip it if you need to run models yourself: it routes to hosted providers and is not an inference engine, and free-tier pools send prompts to many third parties. For production apps with spend tracking, LiteLLM is the safer fit.
Alternatives to OmniRoute
- LiteLLM
Python SDK plus proxy with spend tracking, load balancing, and fallbacks for team production use, without the free-tier cascade or compression.
- Portkey AI Gateway
Open source gateway with retries and fallbacks oriented to production applications, rather than stretching free quotas for coding tools.
- RouteLLM
Routes between a strong and a cheap model by learned query difficulty to cut cost, instead of failing over across many providers on quota.
- Ollama
Runs open-weight models locally, so no provider quota, outage, or third-party data exposure applies, at the cost of needing your own hardware.
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Details
- Category
- LLM Inference & Serving
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- MIT
- Added
- Aug 24, 2026