Continuum-AI-Corp

Continuum-AI-Corp / OrcaRouter-Lite

Public

Self-hosted LLM router with a managed safety net. OpenAI-compatible. BYOK. Single-workspace. Streaming. For more advanced routing choose hosted OrcaRouter

www.orcarouter.ai
19
2
100% credibility
Found May 07, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

OrcaRouter Lite is a self-hosted OpenAI-compatible server that automatically routes chat requests to the cheapest capable AI model across multiple providers, featuring a dashboard for local analytics and prompt caching.

How It Works

1
💡 Discover a smart AI helper

You hear about OrcaRouter Lite, a friendly tool that lets you chat with many AI services and always picks the best, cheapest one automatically.

2
🚀 Set it up on your computer

With a simple download and start command, your personal AI router comes to life on your laptop, ready to connect your favorite chat services.

3
Connect your AI friends
🏠
Use your own accounts

Add logins for services you have, keeping everything private on your machine.

☁️
Try the hosted helper

Sign up for a quick free trial to access even more AIs without setup.

4
✨ Chat with magic 'auto'

Type your message using 'auto' and watch it smartly choose the perfect AI that handles your request at the lowest cost.

5
📱 See your dashboard glow

Open the built-in screen to view recent chats, savings, speeds, and which AIs worked best for you.

🎉 Save money and time forever

Enjoy reliable chats, automatic savings on every message, and full control over your AI adventures.

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Star Growth

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AI-Generated Review

What is OrcaRouter-Lite?

OrcaRouter-Lite is a self-hosted LLM router that exposes an OpenAI-compatible API for proxying chat completions across your keys for providers like OpenAI, Anthropic, and Google. Drop in "model=auto" to automatically pick the cheapest model matching request capabilities like tools, vision, or JSON mode, with streaming, cross-provider prompt caching, and a dashboard for analytics and key management. Python-based with Docker Compose for quick self-hosted LLM server setup—no Postgres or Redis required, runs on modest self-hosted LLM hardware.

Why is it gaining traction?

It bridges libraries like LiteLLM (no server/dashboard) and hosted options like OpenRouter (closed-source), delivering automatic cost savings, local spend tracking vs GPT-4 baselines, and optional fallback to their hosted service for uncovered models. Developers dig the plug-and-play integrations for LangChain, Continue.dev, and Vercel AI SDK, plus 127 passing tests ensuring reliable self-hosted LLM Docker deploys.

Who should use this?

Solo devs or small teams building self-hosted LLM chatbots, coding tools, or Home Assistant plugins who want advanced routing without per-provider if-else code. Ideal for self-hosted GitHub Codespaces, self-hosted GitHub Copilot alternatives, or local self-hosted LLM models experimentation where BYOK keeps costs in check.

Verdict

Grab it for single-workspace prototypes—strong docs in 12 languages and battle-tested auto-routing make it production-ready despite 19 stars and 1.0% credibility. For teams or multi-tenancy, upgrade to hosted.

(198 words)

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