Introduction

In the world of open source collaboration and code management, one persistent challenge is how to quickly generate interactive, well-structured documentation for complex repositories. DeepWiki-Open is an open-source tool designed to solve exactly that — it uses AI to automatically parse your code structure, generate visual architecture diagrams, and build an interactive Wiki tailored to your repo.

Thanks to Clawcloud Run’s always-free $5 container and App Store one-click deployment, developers can launch a powerful documentation system in under 5 minutes. This guide walks you through the deployment process and advanced configuration tips.

1. Why Choose DeepWiki-Open?

Key Features (From Official Docs)

1. Codebase-as-Documentation
   • Just input a GitHub, GitLab, or BitBucket repo URL to auto-generate a structured Wiki
   • Supports private repos (via access token) and multiple file formats (Markdown, PDF, source files, etc.)
2. AI-Powered Insights
   • Smart Q&A: Uses RAG-based AI to answer code-specific questions (e.g., “How does the controller call the service layer?”)
   • In-Depth Analysis: Iteratively analyzes complex logic and outputs conclusions with step-by-step research context
3. Visualized Output
   • Automatically generates Mermaid architecture diagrams and data flows
   • Interactive UI supports code navigation and relationship tracing

2. Deploying DeepWiki-Open with One Click on Clawcloud Run

Step 1: Sign Up at Clawcloud Run

Go to the Clawcloud Run Console and sign up with your GitHub account. Accounts older than 180 days get lifetime free container credits.

Step 2: Deploy via App Store

1. Open the App Store
   From the left sidebar, click App Store, then search for “DeepWiki-Open.”
2. Launch and Verify
   Click Deploy App and wait 3–5 minutes. Once your app is live (e.g., deepwiki-xxxx.run.claw.cloud), you’ll see a repo input interface — deployment is successful.

3. Pro Configuration Tips

1. Switch Between Multiple AI Models

Go to Settings → Model Selection to toggle AI backends:

• Google Gemini: Fast, great for basic docs
• OpenAI GPT-4o: Strong reasoning, ideal for deep code analysis
• Local Ollama: For self-hosted setups (set OLLAMA_HOST=llm-container)

2. Enterprise-Level Private Deployment

• Custom AI Endpoints: Set OPENAI_API_BASE=http://your-internal-llm/v1 to connect to private models
• Security Best Practices:
  • Restrict IP access via Clawcloud firewall
  • Enable HTTPS and set a strong NEXTAUTH_SECRET

4. Real-World Use Case

Use Case: Generate Architecture Docs for a Microservices Project

1. Enter Repo URL: https://github.com/your-org/microservices-demo
2. Add Access Token: Needed for private repos
3. Run Deep Analysis:
   • Ask: “Explain the communication flow between order and payment services.”
   • The system performs 3 rounds of reasoning and outputs a conclusion with a sequence diagram
4. Export Docs: Download in Markdown or PDF — easily integrate with your CI/CD pipeline

5. Summary

With Clawcloud Run’s one-click deployment and always-free container support, setting up a full-featured documentation hub for your team or project is faster than ever. DeepWiki-Open’s AI-driven insights and visual interactive UI make it ideal for maintaining open source projects, onboarding new devs, or preserving team knowledge.

Start now — and unlock the full potential of your codebase.