Evidence analysis for autogen: enabling next-gen llm applications via multi-agent conversation framework. Supporting and contradicting evidence presented side-by-side with full provenance from independent sources.
Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).