Crawl any website into a single searchable file. Query it offline forever. Useful for operations teams needing persistent access to web data without relying on live connections. Integrates with Claude agents for automated data extraction and analysis.
git clone https://github.com/memvid/maw.gitmaw crawls websites, documentation, blogs, codebases, and repositories into a single .mv2 file for persistent offline access. It automatically detects the right crawling method—from simple fetches to stealth browser mode for protected sites—and supports both keyword search (BM25) and semantic search with embeddings. Users can query crawled content instantly with keyword lookup or ask AI-powered questions using Claude or OpenAI. Built for operations teams, developers, and researchers who need reliable access to web data without relying on live connections or maintaining browser tabs.
Install globally with `npm i -g @memvid/maw` or use `npx @memvid/maw` without installing. Crawl a site with `maw https://example.com` to create a .mv2 file. Search with `maw find docs.mv2 "term"` for keyword search or `maw ask docs.mv2 "question?"` for AI answers (requires OPENAI_API_KEY). Control crawl depth and page limits with `--depth` and `--max-pages` flags.
Archive documentation for offline reference and persistent access
Search across multiple documentation sites combined into one file
Extract and analyze data from websites using AI agents
Crawl codebases and repositories for code analysis
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/memvid/mawCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Crawl the website [WEBSITE_URL] and extract all relevant content into a single searchable file. Focus on sections related to [TOPIC]. Ensure the file is structured for easy querying and offline access. Include metadata such as timestamps, authors, and any other relevant details.
The website [WEBSITE_URL] has been successfully crawled and the content has been extracted into a single searchable file. The file includes all relevant sections related to [TOPIC], with metadata such as timestamps, authors, and other relevant details. The file is structured for easy querying and offline access, making it useful for operations teams needing persistent access to web data without relying on live connections. The file can be integrated with Claude agents for automated data extraction and analysis.
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