Maigret is a Python OSINT tool that builds a username-based dossier by checking thousands of sites and collecting publicly available profile information.
Maigret is an open-source investigation and reconnaissance tool focused on usernames. It searches more than 3,000 sites and gathers available information from profile pages and site APIs, with no API keys required. The project also offers a CLI, a web interface, report exports, and optional AI summarization.
The tool addresses the need to quickly discover where a username appears online and assemble the publicly available traces into one investigation workflow. Instead of checking sites manually one by one, it centralizes the search and reporting process for OSINT, cybersecurity, and investigative use cases.
Conceptually, Maigret takes a username, checks it against a large site database, and then collects profile details that are publicly reachable. It can narrow searches by tags or countries, recurse into newly discovered usernames and other IDs, and it can also handle reports and a graph view for the results. The README says it can partially deal with blocks, censorship, CAPTCHA, Tor/I2P sites, and domain checks, but it does not provide implementation details beyond that.
It is drawing attention because it sits at the intersection of OSINT, cybersecurity, and social-media investigation, and the README emphasizes practical features that lower friction: a very large site list, no API keys, auto-updating site data, CLI and web access, and optional AI-generated summaries. Its broad support for exports and its use in professional tools also make it attractive to investigators and red-team oriented users.
The README directly points to Sherlock as a related project in the same username-investigation space. More generally, Maigret can be compared with manual OSINT searching, other reconnaissance frameworks, and social-network investigation tools, though the README does not enumerate specific competitors beyond that reference.
AI-explained · grounded in each repo's README