Doop

As a freelancer always on the lookout for tools that can genuinely streamline my workflow and boost my creative output, I get excited when something truly fresh hits the market. Most AI tools for design have felt like add-ons or fancy prompt interfaces. But then I stumbled upon Doop, and it felt like a different beast entirely. Launched recently, Doop isn't just another AI feature bolted onto a design app; it's a complete rethink of how we might design alongside artificial intelligence.

What is Doop and What Core Problem Does It Solve?

Doop is a multiplayer design canvas that brings humans and AI agents together, live, on the same artboard. Think of it as a shared workspace where your design team works hand-in-hand with AI entities, not just feeding them prompts and waiting for a static output. The core problem Doop aims to solve is the often disjointed nature of AI in design. Many current AI design tools operate on a "prompt-and-refresh" model: you type a command, the AI generates something, and you review it. This back-and-forth can be slow and lacks the fluidity of true collaboration.

Doop flips this by making AI agents active participants with presence, tasks, and accountability, right there on your canvas. It's an open-source alternative to other design platforms, focusing on real-time interaction and collaborative design with AI.

How Does It Work — The Main Workflow in Simple Terms

Getting started with Doop is surprisingly straightforward, especially for a tool introducing such a novel concept. Here’s a breakdown of the main workflow:

1. Open a Canvas: You begin by opening a new canvas, which Doop calls "frames." These aren't just static images; they are live HTML artboards. You can sketch directly in your browser or leave them blank for your AI agents to fill.
2. Connect Your AI Agent: This is where the magic happens. Doop integrates with various AI models and clients through the Multi-Agent Communication Protocol (MCP). For example, you can connect tools like Claude Code or Codex. The connection typically involves a simple command and a browser approval via OAuth, allowing the agent to work on the canvas as "yours," with proper attribution.
3. Design Together, Live: Once connected, the AI agents become active collaborators. You can assign tasks, and watch as designs stream in keystroke by keystroke. The agents narrate their tasks, provide screenshots for review, and even pick up your feedback in real-time. This means you're not waiting for a finished product; you're seeing the design evolve alongside the AI.

The canvas itself is smart. It maintains a shared memory, meaning everything designed, decided, or commented on remains visible and accessible to any agent that joins later. This ensures continuity and context, which is crucial for complex projects.

Key Features for Freelancers and Teams

Doop is packed with features designed to facilitate this unique human-AI collaboration. As a freelancer, I see several standout capabilities that could significantly impact project delivery and client interaction:

• Multiplayer Canvas for Humans & AI: This is the cornerstone. Imagine working on a landing page while an AI agent simultaneously drafts alternative hero sections or refines the CSS. Doop offers live cursors, presence indicators for all collaborators (human and AI), per-frame editing notifications, and a comprehensive activity feed. It also includes standard design tool features like undo/redo and element-pinned comments, making it a truly interactive environment.
  • Freelancer Use Case: A web designer collaborating with an AI to rapidly prototype multiple layout variations for a client, getting real-time feedback from the AI on design consistency.
• Live HTML Artboards: Unlike many design tools that export static images or code, Doop's frames render real HTML directly within sandboxed iframes. This means what you see is much closer to what you get in a browser, reducing the gap between design and development.
  • Freelancer Use Case: A front-end developer can iterate on UI components directly within Doop, knowing the visual output is based on actual HTML, making handover to development much smoother.
• Integrated AI Agent Collaboration: Doop positions AI agents as genuine team members. They can sketch, stream HTML chunks, and even self-review their work with screenshots. The agents actively respond to feedback, making the design process highly iterative and dynamic.
  • Freelancer Use Case: An agency working on branding can have an AI agent generate logo variations or color palettes while a human designer focuses on overall creative direction, with the AI adapting based on live input.
• Built-in Doop Agent & Custom Agent Support: Doop comes with its own built-in agent that can handle tasks autonomously by processing queued cards or responding to @mentions. Beyond that, it's designed to connect with any MCP-compliant agent, including popular ones like Claude Code.
  • Freelancer Use Case: A small business owner might use the built-in agent for quick content generation or minor design tweaks, while a more advanced user could integrate a specialized AI agent for specific coding tasks.
• Design Memory & Style Distiller: The canvas remembers past designs and decisions. More impressively, it features a "distiller" that can propose durable style rules based on your canvas. This means agents can learn and adhere to a consistent design system, ensuring brand guidelines are followed.
  • Freelancer Use Case: Ensuring design consistency across multiple pages or components of a large website project, where the AI can help enforce established style guides without constant manual checks.
• Private by Default & Collaboration Controls: You control who sees your work. Canvases are private by default, and you can invite collaborators via email or enable link sharing. Crucially, AI agents inherit the exact access permissions of their human counterparts, maintaining security and control.
  • Freelancer Use Case: Securely sharing design progress with clients or other team members, knowing that AI agents operating on the canvas adhere to the same privacy and access rules.
• Open-Source and Self-Hostable: Doop is an open-source project available on GitHub. This means transparency, community contributions, and the ability to self-host the application using Docker Compose or `bun run dev` with minimal setup.
  • Freelancer Use Case: Developers or agencies with specific privacy needs can host Doop on their own servers, gaining full control over data and customization.

Pricing — Leveraging Existing AI Subscriptions

Here's where Doop takes a slightly different, and potentially very appealing, approach for many users. Doop itself is free to use and open-source. When you start designing, it offers a "free tier" where its built-in Doop Agent can perform a handful of tasks using its own server's API key.

However, for continued or heavy use of the built-in Doop Agent, or if you want to connect your own external AI agents, you'll need to provide your own API keys for models like OpenAI (for ChatGPT) or Anthropic (for Claude). Doop acts as the canvas and orchestrator, but it doesn't charge you a separate AI subscription fee. It leverages the AI model subscriptions you already have or will acquire directly from the AI providers.

This model means:

• Free Tier: Limited free tasks using Doop's own keys.
• Paid Usage: Connect your personal OpenAI or Anthropic API keys for unlimited tasks with the built-in agent.
• External Agents: Use any other MCP-compatible AI agent, which will run on its own subscription or infrastructure.

Essentially, Doop provides the collaborative environment for free, and you pay for the underlying AI computation directly to the model providers. This can be very cost-effective if you already have these API subscriptions or if you prefer a transparent, pay-as-you-go model for AI usage.

What Makes Doop Unique Compared to Similar Tools?

In a crowded market of AI design tools, Doop stands out primarily because of its fundamental philosophy: AI as a co-creator, not just a feature.

• Real-time, Live Collaboration: Most AI design tools involve a prompt-and-generate cycle. Doop, however, allows AI agents to stream designs live on the canvas, showing their "cursors," status, and edits as they happen. This transforms AI from a backend engine into a visible, interactive team member.
• Shared Canvas Memory: Agents in Doop share context. What one agent designs, comments on, or decides remains visible and actionable for subsequent agents. This is a significant step beyond stateless prompt interactions.
• Open-Source Foundation: Being open-source provides transparency, flexibility for customization, and community-driven development, which is often missing in proprietary AI design platforms.
• HTML-Native Design: Designing directly on live HTML artboards bridges the gap between design and development more effectively than tools that primarily generate static images or abstract design files.

Who Should Try This?

Doop feels like a game-changer for specific groups:

• Freelance Web Designers & UI/UX Designers: If you're constantly prototyping or need to quickly iterate on web interfaces, having an AI agent assist with layout, component generation, or design system adherence in real-time could be incredibly powerful.
• Small to Medium Design Agencies: Teams looking to integrate AI deeply into their design process for increased efficiency and innovation, especially those working on web-based projects, will find the multiplayer and agent collaboration features highly beneficial.
• Front-End Developers Who Design: For developers who often find themselves switching between code and design tools, Doop's HTML-native canvas allows for a more integrated workflow, where design and code generation can happen in parallel.
• AI Enthusiasts & Experimenters: If you're keen on exploring the cutting edge of human-AI collaboration and want to understand how agents can become true co-workers, Doop offers an excellent platform for experimentation.

Who Should Skip This?

While Doop is innovative, it might not be for everyone:

• Designers Focused on Print or Non-Web Media: If your work primarily involves print, illustration, or other non-HTML-based design, Doop's core strengths around live HTML artboards might not align with your needs.
• Users Seeking a Fully Managed, All-Inclusive AI Solution: Doop requires you to manage your own AI API keys for extended use. If you prefer a single subscription that includes AI computation without any external setup, this might feel like an extra step.
• Beginner Designers Without AI Experience: While the interface is clean, effectively directing and collaborating with AI agents requires a certain level of understanding of AI capabilities and limitations. Pure beginners might find the learning curve a bit steep without prior AI exposure.
• Users Who Prefer Traditional Design Software: If you're deeply entrenched in tools like Figma, Sketch, or Adobe Creative Suite and prefer their established workflows, transitioning to a real-time AI-driven canvas might feel too different.

Final Verdict

Doop represents a significant leap forward in human-AI design collaboration. It moves beyond simple prompt-based generation to a truly interactive, co-creative experience where AI agents are visible, accountable partners on a shared canvas. The open-source nature, coupled with its HTML-native approach and the intelligent "design memory" features, makes it a compelling tool for anyone serious about pushing the boundaries of design efficiency with AI.

While it requires some familiarity with AI agents and managing your own API keys for full functionality, the potential for accelerating design workflows and fostering innovative creative processes is immense. For freelancers and teams looking to truly integrate AI into their daily design practice, Doop is an essential exploration.

Rating: 9/10

Frequently Asked Questions

What kind of AI agents can I use with Doop?

Doop is designed to work with any AI agent that speaks the Multi-Agent Communication Protocol (MCP) over streamable HTTP with OAuth. This includes popular models like Claude Code and Codex, as well as any custom MCP client you might develop.

Is Doop free to use?

Yes, Doop is open-source and free to use as a canvas. It includes a free tier for its built-in Doop Agent for a limited number of tasks. For extended use of the built-in agent or to connect your own external agents, you will need to use your own API keys from AI model providers like OpenAI or Anthropic.

Can I self-host Doop for my team?

Absolutely. Doop is open-source and can be easily self-hosted. You can set it up using Docker Compose or by running `bun run dev` with zero configuration, as it includes an embedded Postgres database and requires no external services.

How does Doop ensure design consistency with AI agents?

Doop features a "design memory" system that captures decisions and allows you to pin exemplar frames. It also includes a "distiller" that can propose durable style rules based on your canvas, which AI agents are then programmed to follow, helping maintain consistency across your projects.