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DeepWiki

Transform complex code repositories into searchable, interactive wikis with DeepWiki, an automated documentation platform that maps architectural relationships and provides instant answers to technical questions about any codebase. Software engineers can submit public or private repositories from GitHub, GitLab, or Bitbucket to generate comprehensive project overviews, component breakdowns, and interactive Mermaid diagrams illustrating data pipelines and class hierarchies. The built-in Ask interface allows developers to query system logic using retrieval-augmented answers grounded directly in repository source files. Teams can trigger iterative deep research sessions that perform multi-step codebase investigations to explain intricate execution paths, uncover hidden dependencies, and summarize complex algorithms across hundreds of files. Interactive Codemap tours provide guided walkthroughs of critical entry points, letting reviewers inspect synchronized code viewer panels with exact line references while onboarding to unfamiliar services. Developers can export complete wiki structures for offline sharing, customize documentation depth from high-level summaries to granular module analyses, and connect local or cloud model endpoints to process sensitive internal code securely. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

DeepWiki
DeepWiki
DeepWiki
DeepWiki
DeepWiki

Benefits

  • Automated Architectural Diagram Generation
  • Transforms raw source code into interactive Mermaid flowcharts, sequence diagrams, and class hierarchies, allowing developers to visually understand service relationships and data flow without creating manual documentation.
  • Source-Grounded Retrieval Augmented Chat
  • Enables developers to query unfamiliar codebases through an interactive assistant that references specific file paths, functions, and lines of code to deliver accurate, context-aware technical answers.
  • Multi-Step Deep Research Engine
  • Executes iterative codebase investigations across multiple analysis cycles to trace execution flows, evaluate cross-file dependencies, and synthesize comprehensive architectural findings for complex software projects.
  • Guided Interactive Codemap Tours
  • Provides structured walkthroughs of critical entry points and core algorithms with side-by-side source code viewer integration, accelerating engineering onboarding and pull request code reviews.

Features

  • Universal Git Ingestion
  • Clones and parses public or private repositories from GitHub, GitLab, and Bitbucket using secure personal access tokens and branch selectors.
  • Automated Mermaid Diagrams
  • Renders architectural diagrams, data flows, and component dependencies automatically within generated wiki pages using native Mermaid markdown syntax.
  • Iterative Deep Research
  • Performs autonomous multi-turn reasoning loops across codebase files to summarize complex system architectures and document critical functional paths.
  • Synchronized Code Viewer
  • Displays cited repository source files in a split-screen viewer with highlighted lines, syntax formatting, and direct file tree navigation.
  • Flexible Provider Adapters
  • Integrates with OpenAI, Google Gemini, Anthropic, Azure, OpenRouter, and local Ollama instances to run embeddings and completions on private hardware.

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