1. Project Overview
OmniRoute is a free, MIT-licensed, self-hosted AI gateway that unifies access to 290+ AI providers and 500+ models behind a single OpenAI-compatible endpoint, solving the pain of juggling separate API keys, rate limits, and provider outages when building with LLMs.
2. Background & Positioning
OmniRoute was created to let developers "never stop coding" โ even when a favorite model hits a rate limit, loses its free quota, or goes down entirely. Instead of hard-wiring an application to one provider, developers point their tools at OmniRoute's local endpoint once, and the gateway handles provider selection, failover, and cost optimization behind the scenes.
Compared to similar gateway projects such as OpenRouter or LiteLLM, OmniRoute distinguishes itself with:
- A much larger catalog of free-tier providers (90+ providers offering no-cost access, ~1.53B free tokens tracked monthly)
- A local-first architecture โ it runs entirely on the developer's own machine with zero cloud telemetry by default, rather than routing traffic through a third-party SaaS
- A built-in token compression pipeline that reduces the cost of every request, on top of routing and fallback
- Native support for agent protocols (MCP, A2A) in addition to a REST API, positioning it as infrastructure for both human developers and autonomous coding agents
3. Feature Categories
๐ Smart Routing โ 19 strategies, 3-5 examples: priority routing, weighted routing, cost-optimized routing, "Last-Known-Good Path" routing, and an "Auto" combo mode. Purpose: automatically pick the best available provider for each request.
๐ก๏ธ Resilience & Failover โ 3-layer system, examples: per-provider circuit breakers, automatic retry on failure, quota-aware fallback, health-based routing, remote VPS failover mode. Purpose: keep requests succeeding even when individual providers rate-limit or go down.
๐๏ธ Token Compression โ 12-engine pipeline, examples: RTK (tool-result filtering), Caveman (prose compression), LLMLingua-2 (semantic pruning), code/URL/JSON preservation rules. Purpose: cut token usage by a claimed 15โ95% (about 89% on average) without breaking structured content.
๐ Protocol & Integration Support โ 4 major surfaces, examples: OpenAI-compatible REST API, MCP server (104 tools), A2A protocol, webhooks, 80+ CLI commands. Purpose: let both human-driven IDEs and autonomous agents talk to the gateway the same way.
๐ค Coding Agent Compatibility โ 33+ supported tools, examples: Claude Code, Cursor, Cline, Continue, GitHub Copilot, OpenCode. Purpose: drop-in replacement endpoint so existing agent tooling works unmodified.
4. Key Highlights
- 290+ providers, 500+ models behind one endpoint โ including Claude, GPT, Gemini, DeepSeek, GLM, Kimi, and MiniMax, reachable without managing dozens of separate API keys.
- 90+ free providers, ~1.53B free tokens/month tracked โ a machine-readable, regularly re-audited catalog of no-cost tiers, refreshed roughly every two weeks.
- 12-engine token compression โ trims request/response payloads while explicitly preserving code, URLs, and JSON structure, reducing spend on every call.
- 3-layer circuit breaker resilience โ automatically detects failing providers and reroutes traffic, so a single provider outage doesn't stop development.
- Local-first, zero-telemetry design โ the gateway and its encrypted (AES-256-GCM) credential store run entirely on the user's own machine or self-hosted server.
- Agent-native protocols โ first-class MCP server and A2A protocol support alongside the REST API, built for the growing ecosystem of autonomous coding agents.
5. Use Cases by Role
General Developers โ Point any OpenAI-compatible IDE or CLI tool at http://localhost:20128/v1, use the auto model, and get automatic fallback across free and paid providers without rewriting integration code.
DevOps/SRE โ Deploy OmniRoute via Docker or as a VPS-hosted instance with scoped remote tokens to centralize and monitor LLM usage, quotas, and provider health across a team.
Project Managers โ Use quota pooling and fair-share distribution to control and track AI spend across a team without every member needing individual provider accounts.
6. Getting Started
Find what you need โ Browse the free-tier provider catalog and comparison docs in the repository's /docs directory, or check the Wiki for architecture and guides.
Install / integrate:
npm install -g omniroute
omniroute
or via Docker:
docker run -d --name omniroute -p 127.0.0.1:20128:20128 diegosouzapw/omniroute
Then point any OpenAI-compatible client to http://localhost:20128/v1.
Contribute:
git clone https://github.com/diegosouzapw/OmniRoute.git
cd OmniRoute
npm install && npm run dev
Open a pull request following the project's contribution guidelines.
7. Project Structure
OmniRoute/
โโโ src/ # Core gateway, routing engine, compression pipeline
โโโ public/ # Dashboard assets and provider icons
โโโ docs/ # Guides: Docker, compression, providers, security
โโโ tests/ # Automated test suite
โโโ electron/ # Native desktop app (Windows/macOS/Linux)
โโโ examples/ # Integration examples for coding agents and IDEs
src/ holds the routing and compression logic that is the heart of the gateway, while docs/ contains the continuously updated free-tier provider catalog referenced throughout the project.
8. Related Ecosystem
- Upstream dependencies: the 290+ AI providers it routes to (OpenAI, Anthropic, Google, Moonshot AI/Kimi, DeepSeek, and many free-tier services), plus Next.js as the underlying application framework.
- Complementary tooling: coding agents and IDEs such as Claude Code, Cursor, Cline, Continue, OpenCode, and GitHub Copilot, which connect to OmniRoute as their model backend.
- Comparable projects: OpenRouter and LiteLLM, which address similar multi-provider routing needs.
9. License
โ
Free to use, self-host, modify, and distribute (MIT License)
โ
Commercial use permitted
โ No warranty is provided by the authors
โน๏ธ Requires retaining the original copyright and license notice in copies of the software
10. FAQ
Q: Does OmniRoute send my API keys or traffic to a third-party cloud service?
A: No โ it is designed as a local-first gateway that runs on your own machine or server, with zero cloud telemetry by default and encrypted local credential storage.
Q: Do I need to pay to use OmniRoute?
A: OmniRoute itself is free and MIT-licensed. It also curates 90+ provider free tiers, so you can get started without any paid API keys.
Q: Which coding tools can I use with OmniRoute?
A: Any OpenAI-compatible client works out of the box, including Claude Code, Cursor, Cline, Continue, OpenCode, and GitHub Copilot โ 33+ tools are explicitly supported.
Q: How does the "auto" model work?
A: Setting the model to auto lets OmniRoute select the best provider dynamically based on routing strategy, quota, and health, with automatic fallback if a provider fails.
Q: How much can token compression actually save?
A: The project documents savings of roughly 15โ95% depending on content type, with an average around 89%, achieved through a 12-stage compression pipeline that always preserves code, URLs, and JSON.
11. Quick Links
- Repository: https://github.com/diegosouzapw/OmniRoute
- Wiki / Docs: https://github.com/diegosouzapw/OmniRoute/wiki
- User Guide: https://github.com/diegosouzapw/OmniRoute/blob/main/docs/guides/USER_GUIDE.md
- Releases: https://github.com/diegosouzapw/OmniRoute/releases
12. Summary
OmniRoute gives developers a single, self-hosted gateway to hundreds of AI providers and models, cutting both the operational overhead of managing multiple API keys and the token cost of every request. It is best suited for individual developers and teams who rely on AI coding agents and want resilience against provider rate limits and outages, without giving up control of their credentials or traffic.