Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

An exam cram coach skill for Claude agents that creates chaptered knowledge bases and quiz banks from course materials, with source-labeled answers and abstention when out of scope.

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

An autonomous AI scientist: a multi-agent loop over literature, experiments, self-critique and write-up, with deterministic guards against reward-hacking and hallucination.

A skill for AI agents: search the web with SearXNG, browse with Camofox, bypass protections with CloakBrowser. Anti-hallucination by design. Self-hosted, free, unlimited.

AGI-oriented, hallucination-resistant AI coding runtime grounded in evidence, tools, memory, agents, and verification.

[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.