DeepWiki: AI-Generated Documentation & Chat for Any GitHub Repo

Index your code with Devin

DeepWiki indexes your code with Devin so you can understand any repository. Enter a repo such as microsoft/vscode, huggingface/transformers, or microsoft/playwright and DeepWiki helps you understand it.

Understand any GitHub repository you point DeepWiki at.

Works across major open-source repositories

The index covers repositories across many domains, including microsoft/vscode (Visual Studio Code), huggingface/transformers (model-definition framework for state-of-the-art ML models in text, vision, audio, and multimodal, for inference and training), microsoft/playwright (Web Testing and Automation framework testing Chromium, Firefox and WebKit with a single API), and langchain-ai/langchain (the agent engineering platform).

Get understanding across AI, web testing, developer tooling, and more.

Covers document and data tooling repos

Indexed repositories include opendatalab/MinerU, which transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for Agentic workflows, and microsoft/markitdown, a Python tool for converting files and office documents to Markdown.

Understand repos that turn documents into LLM-ready formats.

Understand agentic and RAG frameworks

DeepWiki indexes agent and RAG projects such as infiniflow/ragflow (a leading open-source Retrieval-Augmented Generation engine fusing RAG with Agent capabilities), langgenius/dify (build Agentic workflows and RAG pipelines with rich AI model and tool support), langflow-ai/langflow (build and deploy AI-powered agents and workflows), and Significant-Gravitas/AutoGPT.

Explore the agentic AI and RAG landscape through indexed repos.

Indexes learning and reference repositories

The index includes educational repos like freeCodeCamp/freeCodeCamp (open-source codebase and curriculum to learn math, programming, and computer science for free), donnemartin/system-design-primer (learn how to design large-scale systems, with Anki flashcards), nilbuild/developer-roadmap (interactive roadmaps and guides), and jwasham/coding-interview-university (a complete computer science study plan).

Study and prepare using indexed learning repositories.

Browse popular repos by star count

DeepWiki surfaces repositories with their star counts, from microsoft/vscode at 192.6k and huggingface/transformers at 166.2k to codecrafters-io/build-your-own-x at 547.6k and public-apis/public-apis at 480.8k.

Discover widely used repositories to understand next.

• Instant codebase comprehensionDeepWiki indexes repositories and generates explanations so you can understand a codebase quickly. The homepage invites you to 'Share Which repo would you like to understand?' and 'Add repo', positioning it as a tool to index your code with Devin.
• Broad coverage of popular repositoriesThe index already surfaces a wide range of well-known repos across languages and domains, including microsoft/vscode, huggingface/transformers, microsoft/playwright, langchain-ai/langchain, tensorflow/tensorflow, react/react, torvalds/linux, and many more, each with a short description and star count.
• Useful for AI and agent toolingMany indexed repos are directly relevant to AI/agent development, such as huggingface/transformers, langchain-ai/langchain, openai/openai-python, anthropics/anthropic-sdk-python, infiniflow/ragflow, langgenius/dify, and langflow-ai/langflow.
• Helps with learning and onboardingThe index includes educational and reference repos like donnemartin/system-design-primer, nilbuild/developer-roadmap, jwasham/coding-interview-university, codecrafters-io/build-your-own-x, and freeCodeCamp/freeCodeCamp, which can support study and onboarding.

• Descriptions are short and may be incompleteEach repo listing provides only a brief description and a star count.
• Star counts are not quality guaranteesThe page shows star counts (e.g., 547.6k for codecrafters-io/build-your-own-x, 480.8k for public-apis/public-apis), but popularity does not necessarily reflect suitability for your specific use case.
• Some entries are ambiguous or nicheA few listings have unclear or very specific descriptions, such as karpathy/nanochat ('The best ChatGPT that $100 can buy') or ultraworkers/claw-code ('An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention'), so verify relevance before relying on them.

Legal contract repository

Law firms can ingest contracts from SharePoint, auto‑tag clauses, and retrieve specific provisions via plain‑language queries, cutting research time dramatically.

R&D literature hub

Researchers upload papers to Google Drive; DeepWiki extracts topics and links related studies, accelerating literature reviews.

Sales enablement library

Marketing assets stored across Dropbox become instantly searchable, ensuring reps always have the latest collateral.

HR policy center

HR can centralize policy docs, auto‑update versions, and let employees ask policy questions in natural language.

Sign up for the free tier and connect your primary cloud storage account.

Run the initial indexing job to ingest existing documents.

Define basic tag rules or let the AI generate them automatically.

Test natural‑language queries and refine workflow triggers.