asyncfuncai/deepwiki-open

Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 4 minutes ago
Added to GitGenius on September 3rd, 2026
Created on April 30th, 2025
Open Issues & Pull Requests: 267 (+0)
GitHub issues: Enabled
Number of forks: 2,001
Total Stargazers: 17,904 (+0)
Total Subscribers: 81 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.4 hours
Mean response time: 13.0 days
90th percentile: 36.8 days
Tracked items: 214

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 87% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 6% of issues opened in the past year have been closed.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 204
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 360 days
Stale 30+ days: 197
Stale 90+ days: 187

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (6)
  • bug (1)
  • question (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

DeepWiki-Open is a wiki generator that automatically creates documentation for GitHub, GitLab, and Bitbucket repositories using AI.

The tool solves the problem of maintaining up-to-date repository documentation by analyzing code structure and generating comprehensive wikis without manual effort. When given a repository name, it analyzes the codebase, generates documentation, creates visual diagrams explaining system architecture, organizes content into a navigable wiki, and produces codemaps for guided code tours. The system integrates with multiple AI providers to power its analysis and generation capabilities.

Developers should choose this tool if they maintain open-source or internal repositories and want automatically generated documentation that stays synchronized with code changes. It suits projects of any size where keeping wikis current is a burden. The tool offers both self-hosted and cloud deployment options, giving teams flexibility in how they run it.

Almost all open issues are raised by outside users rather than the core team, indicating a substantial base of adopters using the tool in real-world scenarios. Maintainers typically respond to new issues and pull requests within a day. Work in the issue tracker is dominated by enhancement requests, user questions, and bug reports.