freu-ai

freu-ai / freu-cli

Public

Cut AI agent token usage by up to 90%: record a browser session once with freu-cli and it compiles into a reusable skill command. Constellation-based DOM targeting survives class renames and page reshuffles, so skills keep working. Drops into Claude Code, Codex CLI, Cursor, OpenClaw, and Hermes skills directories.

www.freu.ai browser-automation llm rpa
10
0
100% credibility
Found May 06, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Freu CLI records human browser interactions and uses AI to compile them into stable, reusable automation skills that AI agents can execute deterministically.

How It Works

1
🦦 Discover Freu CLI

You learn about Freu CLI, a friendly tool that helps teach AI helpers reliable ways to handle everyday browser chores without wasting time or effort.

2
🔧 Set up your toolkit

Download the tool to your computer and add a simple browser companion to capture your actions smoothly.

3
🤖 Link your smart helper

Connect an AI service so it can watch and understand what you do in the browser.

4
🎥 Record your task

Perform the browser steps like normal—click, type, navigate—and the tool quietly saves every move.

5
💡 Let it learn the skill

Stop recording, and the tool turns your actions into a neat, reusable recipe that works every time.

6
▶️ Run the skill anytime

Give it the details it needs, and watch it repeat your task perfectly on any similar page.

7
🤝 Share with your AI friend

Place the skill in your AI agent's folder, and it uses it reliably without rethinking steps.

✅ Enjoy faster, cheaper automation

Your AI now breezes through browser tasks, saving up to 90% on thinking time and costs.

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AI-Generated Review

What is freu-cli?

freu-cli is a Python CLI that slashes AI agent token usage by up to 90% on browser tasks. Record a session once via Chrome extension—clicks, types, navs—and it compiles into reusable skill commands as JSON DSL files. Agents like Claude Code or Cursor load them directly, executing deterministically without re-parsing DOM each run.

Why is it gaining traction?

Its constellation-based targeting survives CSS renames and page shuffles, making skills self-healing unlike brittle selectors in token cut github alternatives. One-time LLM compilation (50k tokens) yields zero-DOM recurring runs, a true agential cut for agent workflows. Seamless drop-in to Hermes or OpenClaw skills dirs hooks devs chasing efficient automation.

Who should use this?

AI agent engineers building web scrapers or form fillers for production agents. Devs integrating browser skills into Cursor or Claude Code who hate token burn on repeated navs. Teams automating GitHub workflows, like starring repos, without rewriting for every page tweak.

Verdict

Early alpha (10 stars, 1.0% credibility) with solid docs and tests, but low adoption signals unproven scale—prototype it for token-sensitive agents. Worth starring for the 90% cut promise if you're in agentic cut territory.

(178 words)

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