Tools that turn repositories into wikis, explainers, documentation sites, and searchable project knowledge bases.
Use this collection when a team needs a fast map of an unfamiliar codebase or a reusable project wiki for future agents.
A fast Rust tool to serialize text files in a repo for LLM consumption.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Turn OpenAPI, MCP, Doxygen, godoc, rustdoc, and Markdown into static documentation sites you own.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Universal AI context generator that saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, and more.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
An MCP server that exposes llms.txt files to IDEs for context-aware development.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
An LLM-powered framework for automated repository-level code documentation generation.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Open-source DeepWiki alternative to generate comprehensive wiki documentation for any codebase from terminal or browser.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
One command gives AI agents instant codebase context, replacing 50,000+ tokens of exploration with ~250 tokens.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
A memory layer for coding agents that stores and retrieves repo context, conventions, and invariants.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Analyze any codebase using real project signals to generate a structured explanation.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
Auto-updating documentation for AI coding agents — keeps docs current with your codebase via MCP.
Useful for creating repo explainers, project wikis, or reusable codebase documentation.
