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.

ClaimBound: open pre-registered public-source evidence cards for reproducible AI/ML/Data claim checks.

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.

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

A lightweight retrieval-grounded claim verification system for AI reliability.

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.

Verify claims using AI agents that debate using scraped evidence and local language models.

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

A small, docs-first workflow for AI-assisted research that keeps claims, sources, uncertainty, review findings and human decisions inspectable.

MCP server for AgentOracle — trust verification for AI agent claims via Model Context Protocol. Standards-track receipts as MCP tool responses.

Model-facing capability harness for LLM agent workflows: claim verification, memory continuity, risk routing, bounded improvement, and adapter contracts. DOI: 10.5281/zenodo.21189879.

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.

OSS safety runtime for sponsored recommendations in AI conversations; API/MCP verification, signed receipts, deterministic gates.