TinyAGI

TinyAGI / fractals

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Fractals is a recursive task orchestrator for agent swarm

tinyagicompany.com
141
13
89% credibility
Found Mar 06, 2026 at 137 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Fractals is a web tool that breaks down complex software projects into small tasks and uses AI agents to build them automatically in a shared workspace.

How It Works

1
🚀 Discover Fractals

You find this cool tool that turns your big project dreams into real working code all by itself.

2
🌐 Open the web page

Launch the simple web interface in your browser to get started right away.

3
💡 Describe your idea

Type in something fun like 'Build a DocuSign clone' and let it plan the whole thing.

4
📋 See the step-by-step plan

Watch as it smartly breaks your idea into small, doable pieces shown in a neat tree view.

5
📂 Pick your project folder

Choose an empty folder on your computer where the magic will build your project.

6
▶️ Hit go and watch it build

Pick your favorite AI helper and press start – see the tasks light up one by one as code appears.

🎉 Project complete!

Open your folder to find a fully built project ready to run and tweak.

Sign up to see the full architecture

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Star Growth

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AI-Generated Review

What is fractals?

Fractals is a TypeScript recursive task orchestrator that takes a high-level goal like "Build a DocuSign clone" and uses LLMs to decompose it into a tree of atomic subtasks, mimicking fractals math and recursive geometry where complex patterns emerge from simple rules. You get a visual task tree in a Next.js web UI, then execute leaf tasks in parallel batches via Claude or Codex agents, each in isolated git worktrees for safe, versioned code generation. It solves the chaos of agent swarms by enforcing structured recursion—are all fractals recursive? This one is, turning vague prompts into executable plans.

Why is it gaining traction?

Unlike flat prompt chains, it builds fractal-like recursive trees with smart classification (atomic vs. composite) and batch strategies like depth-first for rate-limit-friendly execution. Developers dig the real-world output: a git repo filled with AI-generated code from functions and fractals recursive trees, plus live tree visualization during runs. The agent-orchestrator hook shines for experimenting with fractals trading or fractals in nature-inspired parallelism without manual coordination.

Who should use this?

AI researchers prototyping agent swarms, indie hackers spinning up full apps from one prompt, or backend devs automating boilerplate like fractals of the mists quest chains in GW2. Ideal for those exploring fractals deutsch explanations or non recursive fractals alternatives in TypeScript workflows.

Verdict

Promising early experiment (46 stars) for recursive agent orchestration, but 0.9% credibility score flags immaturity—no tests, sparse docs. Try the web UI on toy projects if you're into LLM agents; skip for production until more polish.

(198 words)

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