Maigret is a Python-based open-source intelligence tool that identifies individuals by searching for their usernames across more than 3,000 websites. The tool requires only a username as input and no API keys to operate, making it accessible for reconnaissance and investigation purposes. It collects comprehensive information from discovered accounts and generates detailed dossiers on target individuals.
The core functionality checks 500 of the highest-traffic sites by default, though users can expand searches to all 3,000+ sites using the `-a` flag or narrow results by category and country using tag filtering. The tool extracts available information directly from profile pages and site APIs, including links to other accounts associated with the target. It supports recursive searching, meaning it can automatically investigate additional usernames and identifiers discovered during initial searches.
Maigret includes several advanced capabilities for bypassing restrictions. It can detect and partially circumvent blocks, censorship measures, and CAPTCHA challenges. The tool works with Tor and I2P websites and can check domain registrations. An auto-updating site database fetches the latest information from GitHub every 24 hours, with fallback to a built-in database for offline operation.
The tool offers multiple output formats and interfaces. A web interface displays results as an interactive graph and allows users to download reports in various formats from a single page. Optional AI analysis mode, activated with the `--ai` flag, uses OpenAI-compatible APIs to transform raw findings into investigation summaries. The tool can export results to Neo4j for graph database analysis, with idempotent reimport capabilities.
Installation options include a standalone Windows executable, pip installation, Docker containers, and cloud shell environments like Google Cloud Shell, Replit, Google Colab, and Binder. The tool requires Python 3.10 or higher. A community Telegram bot provides access without local installation.
Maigret functions both as a command-line tool and as an embeddable Python library, allowing developers to import it directly into their projects and run searches programmatically. The CLI serves as a wrapper around async functions that users can call with custom parameters.
The repository overlaps with contributors from major projects including Microsoft's VSCode and TypeScript repositories and the Rust language project.
Professional OSINT and social media analysis platforms including Social Links API, Social Links Crimewall, and UserSearch have built commercial tools on top of Maigret's foundation.
