geezerrrr

geezerrrr / agent-town

Public

A pixel-art AI agent online collaboration platform.

ai-agents cowork nextjs phaser3 pixel-art
19
4
100% credibility
Found Mar 08, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Agent Town is a pixel-art RPG simulation where users act as a boss in a virtual office, assigning tasks to AI agents via in-game interactions and observing their real-time execution.

How It Works

1
🔍 Discover Agent Town

You find this fun pixel office game where AI workers live and collaborate in a lively town.

2
🚀 Launch the game

Start the game right in your web browser with a simple command, and an office world appears.

3
🔌 Link your AI service

Connect to your AI helper service so the workers can think and act on their own.

4
👨‍💼 Step in as the boss

Walk around the cozy office, chat with workers at their desks, and explore the space.

5
💬 Give tasks face-to-face

Approach a worker, press a key to talk, and hand them jobs right there in the room—it feels personal and magical.

6
👥 Watch them work

See workers wander, return to desks, bubble up thoughts, and complete tasks in real time.

🏆 Build your AI town

Manage multiple workers, switch sessions, and grow a bustling office of smart collaborators.

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Star Growth

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AI-Generated Review

What is agent-town?

Agent Town turns AI agent management into a pixel-art office RPG built with TypeScript, Next.js, and Phaser. You play as the boss, walking around a retro office to assign tasks face-to-face via interaction menus, while watching workers roam, queue jobs, and execute via an OpenClaw gateway—all in real-time with chat bubbles and emotes. Run it instantly with `npx @geezerrrr/agent-town` for a spatial alternative to terminal logs.

Why is it gaining traction?

It ditches abstract UIs for immersive gameplay: approach a pixel art AI agent, hit E, and delegate—tasks show queued, returning, running states visually. Worker autonomy (idling at sofas, printers) and session switching add delight, hooking devs tired of invisible agent swarms. The pixel art github vibe and quick-start npx flow make prototyping agent townsend-style workflows addictive.

Who should use this?

AI researchers testing multi-agent collaboration in OpenClaw, or indie devs building agent cape town sims who want tangible feedback over JSON streams. Perfect for frontend teams visualizing pixel art ai agent behaviors, or anyone prototyping task delegation economies without boilerplate dashboards.

Verdict

Try it for fun agent town experiments—npx spins up a charming pixel office fast—but at 12 stars and 1.0% credibility, it's raw with a roadmap-heavy future. Solid docs and demo video make it playable now; watch for shared worlds.

(198 words)

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