OmniRoute

Overview

OmniRoute is a free, MIT-licensed AI gateway that aggregates 231+ LLM providers (including 50+ with free tiers) behind a single endpoint. It integrates with Claude Code, Cursor, Copilot, and other AI tools via auto-fallback routing, RTK + Caveman compression saving 15-95% tokens, and 17 routing strategies for cost, latency, or quality optimization. With 12,800+ GitHub stars, it addresses the growing pain point of AI service geo-blocking, API rate limits, and cost management.

Features

• 231+ providers, 50+ free tiers — aggregates up to ~1.6B free tokens/month
• Auto-fallback across providers — transparent failover during outages
• RTK + Caveman compression — saves 15-95% tokens depending on strategy
• 17 routing strategies — cost, latency, quality optimization
• MCP + A2A agent protocols — 95 built-in tools
• Local-first — runs on-device, no cloud dependency
• Docker/Electron/Termux support

Installation

npm i -g omniroute
omniroute

Quick Start

# Start OmniRoute with default configuration
omniroute

# Route through a specific provider
omniroute --provider openai --model gpt-5.4

# Enable Caveman compression for token savings
omniroute --compress caveman

Configuration

OmniRoute can be configured via CLI flags or a config file:

{
  "routing": "cost-optimized",
  "compression": "rtk",
  "fallback": true,
  "providers": {
    "preferred": ["openai", "anthropic", "google"],
    "freeTier": true
  }
}

Pros

• ✅ Generous free tier (up to ~1.6B free tokens/month)
• ✅ Auto-fallback prevents downtime during provider outages
• ✅ 17 routing strategies for flexible optimization
• ✅ Local-first with no cloud dependency

Cons

• ❌ Requires credit card for commercial API providers
• ❌ Configuration complexity with 231+ providers
• ❌ Free tier providers have rate limits and reliability issues
• ❌ Compression quality varies across routing strategies

When to Use

OmniRoute is ideal when you need cost-effective, resilient access to multiple LLM providers — particularly for developers in regions with geo-blocked AI services, teams that want to optimize API costs, or production systems that need automatic failover across providers.

Resources

• GitHub Repository