raulvidis

Production-tested templates for deploying multi-agent AI teams on OpenClaw with Telegram supergroup integration. 10 agent personalities, shared context workflows, bot-to-bot communication, and step-by-step AI-readable setup instructions. Built from a live 10-agent setup.

20
4
100% credibility
Found Mar 08, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Templates, guides, and setups for creating coordinated teams of specialized AI agents that communicate and collaborate in shared chat groups.

How It Works

1
🔍 Discover the AI Team Kit

You hear about ready-made plans for building a dream team of smart AI helpers that chat and collaborate like a real crew.

2
📖 Browse Personality Templates

Look through fun profiles for specialists like researchers, coders, marketers, and more to match your project needs.

3
Pick Your Perfect Squad

Mix and match roles for teams like builders, researchers, or social experts, feeling excited about the possibilities.

4
Choose Your Setup Style
👤
Do It Yourself

Follow easy picture guides to create a shared chat space and assign roles to your team.

🤖
AI Takes the Wheel

Hand simple instructions to an AI buddy who sets up the whole team for you.

5
🚀 Bring the Team to Life

Connect your chosen helpers to their chat hub and hit go, watching them start talking and working together.

🎉 Watch Magic Happen

Your AI crew handles tasks on their own, sharing ideas and getting results while you relax as the boss.

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Star Growth

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AI-Generated Review

What is openclaw-multi-agent-kit?

This kit provides production-tested templates for deploying multi-agent AI teams on the OpenClaw platform, complete with Telegram supergroup integration for coordination. It delivers 10 agent personalities, shared context workflows, bot-to-bot communication, and ai-readable instructions to set up live multi-agent systems built from a real 10-agent operation. Developers get ready-to-use configs for workspaces, escalations, and team channels, solving the hassle of bootstrapping coordinated AI agents without starting from scratch.

Why is it gaining traction?

It stands out by focusing on operational infrastructure for OpenClaw—handling shared context files, bot-to-bot triggers, and topic-based channels—that generic agent frameworks overlook. The hook is its battle-tested designs from a live setup, plus ai-readable deploying instructions that let AI agents handle their own onboarding. Early adopters appreciate the plug-and-play team configs for research, coding, and marketing flows.

Who should use this?

Indie hackers building automated AI divisions for product research, code deployment, or growth experiments on OpenClaw. Teams needing Telegram-based multi-agent coordination without custom APIs. AI workflow tinkerers wanting structured escalation and shared context in supergroups.

Verdict

Grab it if you're already on OpenClaw—solid templates and docs make multi-agent setups feasible fast, despite low maturity (16 stars, 1.0% credibility score). Skip for now if seeking battle-hardened alternatives; it's a promising starter kit needing more community polish.

(178 words)

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