BlockRunAI

BlockRunAI / ClawRouter

Public

The agent-native LLM router empowering OpenClaw — by BlockRunAI

ai ai-agents anthropic cost-optimization deepseek
3,782
366
100% credibility
Found Feb 04, 2026 at 208 stars 18x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ClawRouter is an open-source tool that automatically selects the most cost-effective AI models for chat requests using a self-managed digital wallet for tiny payments.

How It Works

1
🔍 Discover ClawRouter

You hear about ClawRouter, a smart helper that picks the cheapest AI brains for your questions to save you lots of money.

2
📥 Add it easily

You add ClawRouter to your AI chat tool with one quick action, like installing a helpful app.

3
💳 Your wallet appears

It creates a private digital wallet just for you, ready to hold a tiny bit of money for AI chats.

4
💰 Add pocket money

You send $5 or so from a crypto app to your new wallet address – enough for thousands of chats.

5
🔄 Restart and chat

Restart your AI assistant, then ask any question – it automatically chooses the best cheap helper.

💸 Save money every time

You enjoy super-smart answers while saving up to 78% on costs, with everything working smoothly.

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Star Growth

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AI-Generated Review

What is ClawRouter?

ClawRouter is a TypeScript-based smart LLM router for OpenClaw that automatically picks the cheapest model capable of handling each request, slashing inference costs by 78% across 30+ models from OpenAI, Anthropic, Google, DeepSeek, xAI, and Moonshot. It uses one USDC wallet on Base with x402 micropayments—no API keys needed—and routes locally in under 1ms. Fund $5 for thousands of requests, with a free tier fallback when empty.

Why is it gaining traction?

Unlike OpenRouter or LiteLLM, ClawRouter is agent-first: auto-generates wallets, pays per-request non-custodially, and handles smart LLM routing with tiers like SIMPLE ($0.27/M) or REASONING ($0.42/M). Developers love the 2-minute install script, /model aliases (/model free, /model sonnet), session pinning for multi-turn chats, and /stats for savings tracking. Zero external calls for decisions keep it fast and inspectable.

Who should use this?

OpenClaw users building smart LLM agents or agentic workflows—think multi-step automation, parallel research, or tool-calling chains. Ideal for indie devs prototyping AI apps without juggling API keys, or teams optimizing costs on high-volume inference like code generation or analysis. Skip if you're not on OpenClaw or prefer custodial prepaid balances.

Verdict

Grab it if you're in the OpenClaw ecosystem—1963 stars show real momentum, and docs cover quickstarts to troubleshooting well. The 1.0% credibility score flags early maturity (light tests, v0.5), so inspect before production; still, MIT license and x402 protocol make it a low-risk win for cost-conscious agent builders.

(198 words)

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