Doop: Open-Source Multiplayer Design Canvas with AI Agents

What changed

The repository kgoedecke/doop presents an open-source alternative to Paper.design, functioning as a multiplayer design canvas. This platform facilitates live collaboration between humans and AI agents on design projects. A key feature is the integration of the Multi-Agent Conversation Protocol (MCP), enabling sophisticated agent interactions within the design environment. The project is primarily developed in TypeScript and has a recent release, desktop-v0.11.0, dated November 1, 2026. The repository includes Dockerfile and docker-compose.yml, suggesting containerized deployment options.

Why it matters for builders

For developers, Doop provides a framework for creating interactive design tools that leverage AI. The multiplayer aspect allows for real-time co-creation, while the AI agent integration opens possibilities for automated design assistance, idea generation, or task execution. The inclusion of MCP is particularly relevant for those looking to build complex agent systems that can communicate and coordinate effectively.

Practical impact

Builders can explore Doop to develop or contribute to a collaborative design ecosystem. The project's focus on AI agents and multiplayer functionality makes it suitable for use cases ranging from team-based design sprints to AI-assisted prototyping. The availability of Docker files simplifies the setup and experimentation process. Developers interested in AI-driven design tools or agent orchestration may find this project a valuable starting point.

Caveats and source limits

Information regarding specific AI models supported (beyond mentions of Claude and Codex in topics), detailed architectural components, or performance benchmarks is not available in the provided repository metadata. The readme_summary indicates a "fresh release" and "4 AI signals, 5 developer signals," but these are high-level indicators. Further investigation into the repository's code and documentation would be necessary to understand the full scope of its capabilities and requirements.