wuding129

wuding129 / agentClaw

Public

Make openclaw`s agents for multiusers，just a agent platform for small teams.

16
3
100% credibility
Found Mar 18, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

AgentClaw transforms single-user AI agents into a secure multi-team platform with isolated workspaces and shared smart tools.

How It Works

1
🌐 Discover AgentClaw

You hear about this helpful tool for teams to use smart AI helpers together safely and try the online demo.

2
📥 Bring it home

Download the simple setup files to your computer so your small team can use it privately.

3
🔑 Link your AI brain

Connect a friendly AI service like Claude so the helpers can think and respond cleverly.

4
🚀 Launch with one click

Start everything easily and open your team's private web dashboard in the browser.

5
🤝 Welcome your team

Sign up as the leader or join as a teammate, with everyone kept safely separate.

6
🧩 Create smart helpers

Build custom AI agents with ready skills for tasks like chatting or analyzing files.

🎉 Team superpowered!

Your group now has secure, shared AI assistants working magic without any worries.

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AI-Generated Review

What is agentClaw?

AgentClaw turns OpenClaw's single-user agents into a multi-tenant platform for small teams, providing unified access with user isolation via dynamic Docker sandboxes. Teams deploy via Docker Compose, getting a React dashboard for managing agents, skills, chats, and files, plus a Python FastAPI backend proxying LLMs securely. It handles agent lifecycle, skill sharing, and workflows like PDF processing or docx editing out of the box.

Why is it gaining traction?

It extends OpenClaw without source mods via a bridge layer, making OpenClaw secure for teams with API key isolation and per-user sandboxes—key for shared use. Developers dig the quick demo at agent.428916.xyz, prepare.py checker, and reusable skills for GitHub tasks like make GitHub repo private, make GitHub fork private, or make GitHub Copilot faster. Low overhead shared instances beat running separate OpenClaw setups.

Who should use this?

Small dev teams (5-20 engineers) needing an internal agent platform without infra hassle, especially for automating GitHub ops like make GitHub account, make GitHub package public, make GitHub pages private, or make GitHub project private. Ideal for ops folks scripting from existing directories or securing OpenClaw's agents in teams.

Verdict

Grab it if you're a small team eyeing OpenClaw—demo and Docker setup shine, docs are solid. 16 stars and 1.0% credibility signal early days; test thoroughly before prod, but it's a practical multi-user agent claw win.

(198 words)

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