shenhao-stu

🐾 One-command multi-agent setup for OpenClaw — 9 specialized AI agents, group routing, safe config merge.

129
18
100% credibility
Found Mar 02, 2026 at 59 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A ready-to-use kit that quickly sets up nine specialized AI agents as a collaborative team for research workflows in chat groups or locally.

How It Works

1
🔍 Find your AI team helper

You hear about OpenClaw Agents, a simple kit that brings a squad of smart AI buddies to help with research and writing in your chats.

2
📥 Grab the starter pack

Download the easy-to-use setup folder to your computer with one quick step.

3
🚀 Run the friendly setup

Open the setup helper, answer a few simple questions about your preferences, and it prepares your personalized AI team.

4
Choose your playground
💬
Group chats

Link them to your WhatsApp, Telegram, Discord, or other group apps for team fun.

🏠
Personal computer

Keep them local on your machine for private brainstorming sessions.

5
🔌 Start the magic

Turn on the main connector, and your AI friends are live and ready to respond.

🎉 Teamwork makes dreams work

Now @mention any AI buddy in your chat or on your computer, and watch them collaborate on ideas, critiques, coding, and papers like pros.

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AI-Generated Review

What is openclaw-agents?

This shell script delivers one-command setup for OpenClaw, instantly provisioning 9 specialized agents like Planner, Ideator, Critic, and Coder into a collaborative multi-agent team. It handles safe config merge by appending agents to your existing OpenClaw setup without overwrites, supports group routing in channels like Feishu, WhatsApp, Telegram, or Discord, and offers local workflows where agents communicate directly. Users get pre-built pipelines for tasks like paper writing or brainstorming, all triggered by @mentions or CLI commands.

Why is it gaining traction?

The hook is dead-simple deployment—clone, chmod, and run—skipping hours of manual agent config, model assignment, and channel binding. Standout features include per-agent model overrides, require-mention toggles for noisy groups, and adversarial dynamics like Ideator vs Critic for sharper outputs. Developers love the extensible agents.yaml for custom additions and dry-run previews before committing changes.

Who should use this?

AI researchers grinding through paper pipelines or daily literature digests in team chats. OpenClaw users in Feishu or Telegram groups wanting instant multi-agent routing without config headaches. Small dev teams brainstorming code or rebuttals via specialized agents like Coder and Reviewer.

Verdict

Grab it if you're already on OpenClaw and need quick multi-agent boosts—docs are thorough, MIT-licensed, and workflows ship ready-to-run. With just 22 stars and 1.0% credibility score, it's early-stage and unproven at scale; test in a sandbox first before production teams.

(187 words)

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