NikitaDmitrieff

NikitaDmitrieff / auto-co-meta

Public

Autonomous AI Company OS — 14 AI agents loop 24/7, ship real software

runautoco.com agent-framework ai ai-agents ai-company anthropic
16
1
100% credibility
Found Mar 08, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An open-source system that assembles teams of 14 specialized AI agents to autonomously build, deploy, and operate entire companies from a single mission statement.

How It Works

1
🔍 Discover auto-co

You find this cool tool that lets AI agents run a whole company on their own after watching a quick demo video.

2
🚀 Set it up fast

With one simple command, you create your own AI company folder and start it running.

3
💡 Give a mission

You tell it a simple goal like 'build a tool that replies to forms automatically' and let the agents get to work.

4
👥 Watch the team collaborate

Open the dashboard to see the 14 AI agents like CEO, Engineer, and Marketer debating ideas, writing code, and building your product live.

5
📊 Check the progress

The dashboard shows cycles completing, costs staying low, and your product taking shape with real updates.

6
💬 Answer quick questions

Rarely, an agent asks for your okay on something big like spending money, and you just reply in a simple chat.

🎉 Your company runs itself

Your AI company is live 24/7, with real websites deployed, users signing up, and everything improving automatically while you relax.

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Star Growth

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AI-Generated Review

What is auto-co-meta?

auto-co-meta runs an Autonomous AI Company OS where 14 AI agents—CEO, CTO, fullstack devs, marketers—loop 24/7 on a mission you provide, debating via shared markdown, writing code, deploying SaaS apps, and handling ops autonomously. Built around Claude Code CLI with TypeScript dashboards and Docker stacks, it ships real products like auto-reply forms or changelogs, escalating blockers to Telegram. Users get a `npx create-auto-co init my-company; make start` setup that persists state and monitors cycles without human input.

Why is it gaining traction?

It ditches bloated frameworks like LangGraph for a 50-line bash loop calling Claude directly, delivering github autonomous agents that deploy live sites at $1.80/cycle versus config hell. The hook: instant demos of autonomous company culture, where agents self-improve the framework itself, appealing to fans of autonomous coder github and github autonomous coding ui over scripted copilots.

Who should use this?

Indie hackers in autonomous company in india or autonomous company in bangalore prototyping solo ops, AI tinkerers chasing github autonomous agents for real software ships, or devs with Claude subs experimenting autonomous company meaning beyond chatbots. Skip if you need enterprise reliability.

Verdict

Fun proof-of-concept for autonomous exploration github (16 stars, 1.0% credibility signals early stage), with solid CLI tools but thin docs and no tests—great weekend toy, hold for prod until maturity grows.

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