Cubicle

A live office for your AI agents, read-only by design

Developer ToolsArtificial IntelligenceGitHubOpen Source

▲ 84 votes17 commentsLaunched Oct 3, 2026

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Daily #17Weekly #94

Watch Claude Code, Codex, Gemini CLI and Paperclip agents at work in a live office: they sit down and type, raise a hand when they need you, and go to the lounge when done. Pixel or HD themes (holding HQ, plaza, warehouse, factory, space, military), real faces cropped from any photo, your logo on the wall, desktop alerts, replays and video export. One command (npx), zero dependencies, MIT. Read-only by design: it can never approve or change anything.

AI Analysis

📝 Summary

Cubicle is a visualization tool that displays AI coding agents (Claude Code, Codex, Gemini CLI, Paperclip) working inside a virtual live office. Agents sit at desks to type, raise hands for attention, and move to the lounge when complete. It offers pixel or HD themes with varied settings (HQ, plaza, warehouse, factory, space, military), custom faces from user photos, logo on wall, desktop alerts, replays, and video export. Runs via one npx command, zero dependencies, MIT licensed, and read-only by design for safety. It solves the pain of opaque, boring terminal monitoring of AI agents by providing an engaging, fun, and shareable visual experience for developers.

📈 Market Timing

With explosive growth in AI agents and multi-agent coding systems projected for 2025-2026, plus rising demand for developer tools that humanize AI workflows, Cubicle aligns well with trends in AI observability and productivity. Technology for local AI is maturing, user demand for engaging interfaces is increasing, and open-source-friendly policies support it. Excellent Timing.

✅ Feasibility

High. Technical implementation is proven as a lightweight npx tool with zero dependencies. Low dev/operation costs as it's local and open-source. Minimal compliance risks (read-only design), strong scalability for personal/team use, and fits well with solo developer or small team capabilities. No supply chain issues.

🎯 Target Market

Primary users: Software developers, AI engineers, and indie hackers using coding LLMs/agents. Industries: Tech/software development and AI R&D. Geographic: Global with concentration in US, Europe, and Asia tech hubs. TAM for AI dev tools is large (billions), SAM for agent monitoring in hundreds of millions, SOM for this visualization niche smaller but with strong interest. Core pains: poor visibility into agent behavior and tedious terminal watching. Willingness to pay: moderate (currently free OSS, potential for premium themes/support).

⚔️ Competition

Low. Direct competitors: 1. LangSmith (smith.langchain.com), 2. Arize Phoenix (arize.com/phoenix), 3. Helicone (helicone.ai), 4. Chainlit (chainlit.io), 5. Langfuse (langfuse.com). Advantages: unique engaging office metaphor, extreme ease of use (npx), read-only safety, fun themes/video export. Disadvantages: narrower focus on visual simulation vs deep analytics/tracing, less enterprise features, currently fully free without paid tiers.

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