Amin7410/FailSafe-Fact-Checking
FailSafe: An autonomous fact-checking framework leveraging Multi-Agent LLMs and Structured Argumentation Graphs (SAG) to verify claims with deep-web retrieval and reasoning.
This project helps journalists, researchers, and content strategists automatically verify the accuracy of textual claims. You input a text or claim, and it outputs a detailed report indicating whether the claims are supported or refuted, along with references. It's designed for anyone needing to quickly and reliably check factual assertions against real-world evidence.
Use this if you need an automated, in-depth system to check factual accuracy of text by referencing various sources and reasoning through complex arguments.
Not ideal if you need to verify claims instantly without deep evidence retrieval, or if your claims require subjective analysis rather than factual verification.
Stars
9
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
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