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InternScience / EcoClaw

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EcoClaw: Save 90%+ on LLM Costs for OpenClaw with One Plugin

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Found Mar 11, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

EcoClaw is an OpenClaw plugin that intelligently routes AI requests to the cheapest suitable language model based on real-world benchmark performance across task categories.

How It Works

1
💡 Discover EcoClaw

You learn about a clever tool that slashes your AI chat costs by up to 98% while keeping results just as good.

2
📥 Add to your AI assistant

You simply install this saver into your everyday AI chat helper with a quick setup.

3
🔗 Connect your AI account

You link your existing AI service once, so it can access smart model choices.

4
⚖️ Pick your savings style

You choose from quality-first, balanced, or super-cheap mode to match your needs.

5
💬 Start chatting

You type your questions or tasks, and it quietly picks the best cheap model every time.

💰 Enjoy massive savings

Your AI works brilliantly, but your bill drops dramatically – mission accomplished!

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AI-Generated Review

What is EcoClaw?

EcoClaw is a TypeScript plugin for OpenClaw that slashes LLM costs by 90%+ with one install. It analyzes your prompt, matches it to one of 23 task types using real PinchBench benchmarks, and routes to the cheapest OpenRouter model that delivers top quality. Pick from "best," "balanced," or "eco" strategies via simple model selection—no config tweaks needed.

Why is it gaining traction?

Unlike static routers with keyword rules or crypto billing, EcoClaw uses live benchmark data that auto-refreshes every 6 hours, ensuring picks stay optimal as models evolve. Users see 80-98% savings over always-picking flagships like Claude Opus, with auto-fallbacks on rate limits or errors, plus a `/route` slash command to preview decisions. Zero-config setup via npm install beats manual model juggling.

Who should use this?

OpenClaw users running agentic workflows—think calendar parsing, email triage, tool calls, or market research—where LLM bills stack up fast. It's for devs optimizing OpenRouter spends without babysitting prompts or switching providers mid-project.

Verdict

Grab it if you're on OpenClaw and OpenRouter; the benchmark smarts deliver real savings out of the box. At 15 stars and 1.0% credibility, it's early-stage with solid docs but light tests—prototype for high-volume use, watch for maturity.

(187 words)

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