Star-Office-UI and cube-pets-office

These two projects are **competitors** offering similar virtual office environments for visualizing invisible AI workflows within the OpenClaw ecosystem, with "Cube Pets Office" being a much smaller project that seems to build upon or be inspired by "Star Office UI."

Star-Office-UI
65
Established
cube-pets-office
45
Emerging
Maintenance 23/25
Adoption 10/25
Maturity 11/25
Community 21/25
Maintenance 13/25
Adoption 7/25
Maturity 9/25
Community 16/25
Stars: 4,513
Forks: 515
Downloads:
Commits (30d): 30
Language: HTML
License:
Stars: 26
Forks: 7
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Package No Dependents

About Star-Office-UI

ringhyacinth/Star-Office-UI

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.

Provides real-time agent state visualization (idle/writing/researching/executing/syncing/error) mapped to distinct office zones with Flask backend and JSON-based state management; supports multi-agent collaboration via join keys, three-language UI (CN/EN/JP), and optional Gemini API integration for AI-generated backgrounds. Deeply integrates with OpenClaw through automatic state synchronization and Skill-based deployment, though also functions standalone via `set_state.py` CLI or HTTP API for manual/scripted state pushes.

About cube-pets-office

opencroc/cube-pets-office

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.

Implements a dual-mode architecture with a **browser-based preview runtime** (Frontend Mode) and a **service-tier execution pipeline** (Advanced Mode via Express/Socket.IO) that dynamically generates org hierarchies, orchestrates LLM-powered workflows, and integrates with Feishu/executor callbacks. Core tech: React 19 + Three.js for visualization, OpenAI-compatible LLM providers for org planning and workflow orchestration, and a mission control plane that tracks task artifacts, decision points, and executor events through JSON snapshots and real-time Socket events.

Scores updated daily from GitHub, PyPI, and npm data. How scores work