1. Project Overview

OpenDeepWiki

AI-driven code knowledge base

OpenDeepWiki is a reference to DeepWiki as inspiration, developed based on .NET 9 and Semantic Kernel, and is an open-source project. It aims to help developers better understand and use code libraries, providing code analysis, document generation, knowledge graph, etc. functions.

2. Open Source License

Licensed under MIT

3. Screenshots

4. Feature Overview

• Quick generation:
   Only a few minutes are needed to convert all GitHub, GitLab, Gitee, Gitea, etc. code repositories into knowledge bases
• Multi-language support:
   Supports code analysis and document generation for all programming languages
• Code structure:
   Automatically generates Mermaid diagrams to understand code structure
• Custom model:
   Supports custom models and custom APIs, which can be extended as needed
• AI smart analysis:
   Based on AI code analysis and understanding of code relationships
• Easy SEO:
   Generates SEO-friendly documents and knowledge bases using Next.js, making it easier for search engines to index
• Dialogue interaction:
   Supports dialogue interaction with AI to get detailed code information and usage methods, and to deeply understand code

5. Tech Stack

OpenDeepWiki is a reference to DeepWiki as inspiration, developed based on .NET 9 and Semantic Kernel, and is an open-source project. It aims to help developers better understand and use code libraries, providing code analysis, document generation, knowledge graph, etc. functions.

• Analyze code structure
• Understand repository core concepts
• Generate code documents
• Automatically generate code README.md

MCP support

OpenDeepWiki supports MCP (ModelContextProtocol)

• Supports single-repo MCPServer for analysis of a single repository

Usage: The following is the usage of cursor:

{
  "mcpServers": {
    "OpenDeepWiki":{
       "url": "http://Your OpenDeepWiki service IP:port/sse?owner=AIDotNet&name=OpenDeepWiki"
    }
  }
}

• owner: is the name of the repository organization or owner
• name: is the name of the repository

After adding the repository, perform a test question (note that the repository needs to be processed first): What is OpenDeepWiki? Effect as shown:

By this method, you can use OpenDeepWiki as an MCPServer and provide it to other AI models for calling, making it convenient to analyze and understand an open-source project