opencroc

opencroc / cube-pets-office

Public

Cube Pets Office turns invisible AI workflows into a cozy pixel office for your OpenClaw — dynamically assembling CEO, managers, and workers with roles, skills, and configs, then bringing the entire organization, workflow stages, and lively characters to life in a flexible 3D scene.

agent-collaboration agent-skills agentic-ai agentic-workflow ai-assistant
26
7
100% credibility
Found Mar 28, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Cube Pets Office is a delightful 3D visualization of a multi-agent AI office where 18 specialized pet agents collaborate on tasks from natural language directives through structured workflows.

How It Works

1
🏠 Discover the pet office

You find a cozy 3D office filled with cute cube pets working together like a real team.

2
🔍 Explore the scene

Watch the pets bustle around desks and zones, each with their own role in game, AI, life, or meta teams.

3
💬 Chat with a pet

Click any pet to open a chat and ask questions about their work or the paper on multi-agent collaboration.

4
📝 Give a team task

Open the workflow panel, type a goal like 'plan a user growth campaign,' and let the CEO pet delegate it.

5
⚡ Watch the magic

See pets light up, pass messages, review work, and evolve as your idea turns into a full coordinated plan.

🎉 Get your results

Review the final report, agent memories, and improvements—your single idea now has a whole team's polished output.

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Star Growth

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AI-Generated Review

What is cube-pets-office?

Cube-pets-office visualizes multi-agent AI workflows as a lively 3D pixel office, dynamically assembling CEO, managers, and workers with custom roles, skills, and configs from natural language tasks. It brings invisible LLM orchestration to life through real-time updates on workflow stages, agent chats, tasks, and heartbeats, all in a cozy scene populated by animated cube pets inspired by cube pets roblox and cube world pets list. Built in TypeScript with React for the UI, Three.js for 3D rendering, and a Node/MySQL backend, it solves the black-box problem of agent swarms by making coordination tangible and inspectable.

Why is it gaining traction?

Unlike dry dashboards in tools like LangGraph or CrewAI, it gamifies assembling and bringing agent orgs to life in a flexible 3D environment, complete with pixel pets office vibes akin to cube pets game or pets cube world alpha. Developers hook on the real-time 3D scene syncing chats, progress bars, and memory searches, plus exportable reports in JSON/MD—zero setup for browser-based LLM proxying or full server mode. The cube engine github-style modularity lets you tweak agent configs on the fly without code changes.

Who should use this?

AI engineers building dynamic multi-agent systems for task orchestration, like research automation or game AI sims echoing cube pets adopt me or cube pets minecraft. Teams prototyping workflows in cube ide github environments, needing visual debugging of delegation, reviews, and evolutions. Not for production-scale ops, but ideal for indie devs or researchers visualizing inertia cube github experiments.

Verdict

With 26 stars and 1.0% credibility score, it's early-stage—docs are README-focused, no tests visible—but the 3D viz hook shines for agent debugging. Worth a spin if you're into github cub3d 3d workflows; fork and deploy via Vite for quick stm32 cube github-like tinkering.

(198 words)

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