sopaco/deepwiki-rs

Turn code into clarity. Generate accurate technical docs and AI-ready context in minutes—perfectly structured for human teams and intelligent agents.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 22nd, 2026
Created on September 5th, 2025
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 297
Total Stargazers: 3,087 (+1)
Total Subscribers: 21 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 23.1 hours
Mean response time: 8.9 days
90th percentile: 29.4 days
Tracked items: 36

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 271 days
Stale 30+ days: 2
Stale 90+ days: 2

Recent activity

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

Top labels

  • enhancement (2)
  • bug (1)

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Detailed Description

Litho is an AI-driven documentation generator built in Rust that automatically produces architecture documentation in C4 model format from source code analysis.

The tool solves the problem of documentation falling out of sync with evolving codebases by automatically analyzing source code and generating comprehensive, professionally structured documentation. It produces context diagrams, container diagrams, component diagrams, and code-level documentation without manual effort, keeping documentation synchronized with code changes as they occur.

Litho suits teams that need to maintain accurate technical documentation alongside active development and want to provide AI agents with well-structured codebase context. The tool is particularly valuable for projects where documentation drift is a persistent problem and where both human developers and intelligent agents need to understand system architecture. The README indicates the project has evolved into a broader successor tool, though Litho remains positioned as a focused C4 documentation generator.

The project maintains active development with passing continuous integration workflows. Documentation is provided in both English and Chinese, indicating sustained multilingual support. The tool is distributed as a Rust crate with ongoing availability through standard package management channels.