seongsu-kang

seongsu-kang / tycono

Public

Build an AI company. Watch them work.

25
0
100% credibility
Found Mar 13, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Tycono is an open-source platform that lets you define AI roles, knowledge, and workflows in simple files and watch them run as a simulated company in a live dashboard.

How It Works

1
🔍 Discover Tycono

You hear about Tycono, a fun way to build and watch your own AI company come to life right on your computer.

2
🚀 Start with one click

Type a simple command in your folder and your personal AI office opens in your web browser, ready to go.

3
🧙 Follow the friendly guide

Answer a few easy questions: pick your AI helper, name your company, and choose a ready-made team of AI workers.

4
👥 Pick your dream team

Select from startup builders, researchers, or creative pros—or start empty and hire as you go.

5
🏢 Watch your AI team at work

See your little AI characters in a pixel office, chatting and working on tasks while you watch the magic happen.

6
📢 Give orders to the team

Type a goal like 'build a website', pick who works on it, and watch the whole company spring into action.

🌟 Your company grows smarter

Every day, your AI team learns more, levels up, and turns your ideas into real results you can save and share.

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AI-Generated Review

What is tycono?

Tycono lets you build a tycoon-style AI company where agents fill roles like CEO, CTO, or engineer, all defined in YAML files and Markdown skills. Run `npx tycono` for a local TypeScript server with React dashboard—watch agents work in a pixel-art isometric office or Slack-like pro view, dispatching tasks via "CEO Wave" that routes through org hierarchy. It solves single-agent limits by compounding knowledge forever in a versionable, Git-friendly structure.

Why is it gaining traction?

Stands out by simulating full companies, not lone coders: scoped authority prevents chaos, persistent knowledge makes sessions smarter over time, and fun visuals like agent levels and speech bubbles hook tinkerers. Local-first with Anthropic keys means you build company culture or workflows without cloud costs, turning "build a company game" into reality.

Who should use this?

Indie hackers prototyping AI teams for GitHub projects, AI devs testing multi-agent flows like "build GitHub Copilot agent" swarms, or hobbyists simulating "build a company in Dubai" setups. Ideal if you're into tycoon games but want real file edits and delegation.

Verdict

Promising Company-as-Code experiment at 18 stars and 1.0% credibility—great README and templates, but low maturity means bugs in complex waves. Fork it to build your tycoon; skip for mission-critical work.

(187 words)

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