Fact-checking system for textual and visual inputs.
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Updated
May 21, 2026 - Python
Fact-checking system for textual and visual inputs.
Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex, or any RAG pipeline. pip install longtracer
人机投研闭环:你出方向,AI 帮你查证/选股/记账,决策权归人。A human-agent investment-research operating model as an installable skill suite.
Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.
Evidence-grounded research agent for Claude Code & Codex: every claim gets a confidence rating + source-family tag, and adversarial gates block unsupported claims before they reach your report. Ships with a multi-model dispatcher.
Official repository of FEVER@ACL 2025 paper "When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification"
A retrieval-augmented generation-based framework for automatically constructing a hierarchy of aspects typically considered when addressing a nuanced claim and enriching them with corpus-specific perspectives.
ClaimBound: open pre-registered public-source evidence cards for reproducible AI/ML/Data claim checks.
Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".
Table-Text Alignment: Explaining Claim Verification
Intell Weave is a production-minded, scalable news platform that ingests the web, understands content (text + media), verifies claims, and serves hyper-personalized, explainable feeds — all powered by modern NLP, embeddings, and clean engineering.
An AI-powered system for automated academic peer review. Upload a PDF, and the assistant analyzes novelty, plagiarism, factual accuracy, claim mapping, and citation quality (via GROBID). Includes an optional Deep Search mode to fetch and index new papers for comparison
Verify claims using AI agents that debate using scraped evidence and local language models.
MCP server for AgentOracle — claim verification for AI agents. Verify before you act. x402-native on Base, SKALE, Stellar.
A small, docs-first workflow for AI-assisted research that keeps claims, sources, uncertainty, review findings and human decisions inspectable.
External cognition governance harness for coding agents: claim verification, memory continuity, risk routing, bounded improvement, and adapter contracts. Current: v0.20.2. DOI: 10.5281/zenodo.21189879.
OSS safety runtime for sponsored recommendations in AI conversations; API/MCP verification, signed receipts, deterministic gates.
Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.
Subjectivity-aware RAG pipeline for investment questions with web search, multi-strategy scraping, Worker + Checker LLMs, and deterministic claim verification.
MCP server for Claude Desktop that applies Popperian falsifiability to verify claims from social media, news and blogs — with real academic sources, not opinions.
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