Summary This repository provides public tutorials for the Cat Café project, detailing the real-world development of a multi-AI agent collaboration system. It targets developers interested in AI agent orchestration, practical CLI interactions with models like Claude, Codex, and Gemini, and understanding project evolution beyond idealized scenarios. The benefit lies in learning from actual project challenges and solutions.

How It Works The project documents the integration of three AI models—Claude Opus (lead architect), Codex (code review/testing), and Gemini (visual design)—into a collaborative system. It emphasizes a pragmatic approach, openly sharing the "real path" taken, including mistakes and critical turning points, rather than a theoretical guide. This methodology provides actionable insights into multi-agent AI development challenges.

Quick Start & Requirements The primary content is tutorial-based and publicly accessible. The associated code repository is private and undergoing refinement, with an indeterminate open-source release date. Specific installation or execution commands for the core project code are not yet available. Links to the full tutorial directory are provided.

Highlighted Details

• Focuses on a "real project replay," detailing actual mistakes and lessons learned.
• Explores practical challenges of moving from SDKs to CLI-based engineering for AI agents.
• Details roles and collaboration of Claude Opus (architecture), Codex (code quality), and Gemini (design).
• Planned tutorials cover CLI engineering, callback mechanisms, and advanced system design.

Maintenance & Community Engagement is encouraged via GitHub Issues for questions. Updates will be communicated; specific community channels are not mentioned. The project is described as being written by "three cats and their owner."

Licensing & Compatibility No specific open-source license is mentioned. Compatibility for commercial use or closed-source linking cannot be determined.

Limitations & Caveats The core project code repository is private and not yet open-source, limiting direct adoption or contribution. The open-source release timeline is undetermined. Tutorials focus on process and lessons learned, implying code is still under active development.