rundiffusion

rundiffusion / RunDiffusion-Agents

Public

Your Agent Farm control plane for OpenClaw, Codex, Claude, Gemini, Hermes, and the recovery tools that keep them healthy.

15
4
100% credibility
Found Mar 31, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

An open-source platform for self-hosting and orchestrating multiple AI agents with isolated workspaces, a unified dashboard, terminals, and file browser.

How It Works

1
🔍 Discover RunDiffusion Agents

You hear about this open-source tool that lets everyday people run a team of smart AI helpers side-by-side from one easy dashboard.

2
📦 Get the ready-to-go package

Download the simple bundle that has everything bundled up nicely for your computer.

3
🤖 Ask your AI friend to set it up

Tell your favorite AI 'Install RunDiffusion Agents for me' and it handles copying files, setting paths, and creating your first helper automatically.

4
✨ Name your first AI helper

Pick a fun name like 'Marketing Buddy' and give it a web address so you can reach it easily.

5
🚀 Launch your AI team

Hit go, and watch as your helpers come online with their own private spaces, ready to chat and work.

🎉 Your AI farm is alive!

Open the dashboard to see all your helpers running smoothly, chatting with AIs like Claude or Gemini, browsing files, and tackling tasks together.

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Star Growth

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AI-Generated Review

What is RunDiffusion-Agents?

RunDiffusion-Agents is a Shell-based Docker control plane for deploying governed fleets of AI agents like OpenClaw, Codex, Claude, Gemini, and Hermes. It tackles agent sprawl by letting you define tenants in YAML—pinning versions, injecting API secrets, allowlisting models, and toggling routes—all routed via Traefik for isolation. Users get a dashboard, persistent terminals, file browser, and agent self-repair tools, running self-hosted on macOS, Linux, or WSL2.

Why is it gaining traction?

Its YAML control plane stands out for agent farm fresh management: one file governs multi-tenant fleets without env sprawl, while scripts handle create, deploy, backup, rollback, and smoke tests. Developers dig the agent github claude, openai integrations—side-by-side terminals for Gemini, Hermes—plus skills letting agents bootstrap clusters themselves. Low overhead shines: 6-8 agents on a $600 Mac Mini M4, with Cloudflare Tunnel for remote access.

Who should use this?

AI engineers operationalizing agent fleets for content creation, overnight code reviews, sales drafting, or QA automation. DevOps teams wanting an agent farm control plane for Claude, Codex terminals without cloud costs. Small startups or indie hackers fitting multiple agents on cheap bare metal.

Verdict

Try it for agent farm fresh self-hosting—docs and scripts deliver quick wins despite 15 stars and 1.0% credibility signaling early maturity. Polish rough edges like LAN TLS; it's production-proven internally but needs community tests.

(198 words)

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