Python CLI and agent plugin that audits whether an AI agent does the job it is supposed to do, using adversarial and operational tests.
🔮 An engineering framework to stop LLM hallucinations in Chinese astrology. / 给“赛博半仙”戴上紧箍咒:减少幻觉、固定排盘步骤的奇门遁甲与紫微斗数 AI skills。
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
법제처 국가법령정보를 LLM에서 바로 조회하는 MCP 서버. 법령·판례·조례 검색과 인용 검증 | MCP server for Korean law — search statutes, precedents, and ordinances, and verify citations
ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Terraform Skill for Claude Code and Codex. LLMs hallucinate a lot with Terraform - TerraShark fixes this. It eliminates hallucinations, is designed for modular and secure code and grounds your IaC in the official Hashicorp Terraform best practices.
A fast browser-use skill powered by local LLMs via single-token reflexes. Fast, local-first, zero hallucinations.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification
List of papers on hallucination detection in LLMs.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Span-level grounding verification for RAG, code, and tool-grounded AI outputs.
Secure memory management for AI Agents • Ensures data integrity • Reduces hallucinations • Maintains consistent long-term context
Citation integrity as a CI gate: verify BibTeX references against Crossref & OpenAlex, catch hallucinated citations, get alerted when a cited paper is retracted.
Bicameral deterministic AI runtime: Zero-hallucination System 1/2 reasoning engine with cryptographic audit trails (RFC 8785, Ed25519) and PoSP consensus arbitration.
Multi-agent pipeline that turns a research topic into a draft paper grounded in real literature, with citation hallucination detection and claim-support checking.
ONGRID — Ontology-Native Graph · Retrieval · Inference · Decision. 3D knowledge graph + zero-token ZTC answer verification. by VIDRAFT.
Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)
Literature-fetching & citation-auditing skill for LLM agents (Claude/Codex) — 讓 AI 引用經得起追問:找文獻、查核引用真偽與支持度、文獻支撐寫作,防幻覺引用。
Verify that an AI agent's on-chain claims are actually true. A claim-level groundedness checker for Solana / memecoin agents.
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
~97% token reduction for AI coding sessions — zero deps, 38 languages, MCP server