OSINT Tool Updated with Local AI

- The tool's core function is to automate identity triangulation; it scans for a username or email and if it discovers a new alias on a profile, it dynamically adds that new alias to its own processing queue to build a more complete picture. - Local AI integration via Ollama allows investigators to run large language models on their own machines, ensuring that sensitive data found during an investigation is not sent to a third-party cloud service. - The addition of standalone binaries is a significant accessibility improvement, as it allows professionals to run the tool without needing to have Python installed or manage complex dependencies. - `osint-d2` is intended for lawful defensive and investigative use by professionals such as threat hunters profiling adversaries, fraud analysts verifying social footprints, and penetration testers automating reconnaissance. - The AI analysis feature goes beyond data collection by generating a "cognitive profile" which is an AI-generated summary of a subject's digital footprint based on publicly available text. - Integration with the "Have I Been Pwned" API allows the tool to check if an email address has been compromised in any known data breaches, providing context on potential credential exposure. - For its broad search capabilities across hundreds of websites, the tool integrates with Sherlock, a well-established and powerful open-source username searching tool. - The developer initially built the tool as a prototype during live streams, sharing it with the OSINT community to gather feedback and explore the potential of automating investigative tasks.