Anti-hallucination research mode for Claude Code. Toggle on/off to enforce citation requirements and source grounding.
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Updated
Apr 16, 2026
Anti-hallucination research mode for Claude Code. Toggle on/off to enforce citation requirements and source grounding.
Score any document. Prove every claim.
Hierarchical RAG architecture scaling to 693K chunks on consumer hardware (4GB VRAM). Features 3-address routing, hybrid vector+graph fusion, and SetFit classification.
Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker setup.
Native rules, hooks, and guards that prevent Claude Code and Codex from hallucinating code, duplicating files, or shipping unverified changes.
Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.
Verifies citations, flags retractions, audits bibliographies — and searches the web. Your AI research assistant that cites real sources and stays honest. Works with Claude, Cursor, any MCP client.
Reduce hallucinations through first-principles reasoning, verification, self-critique, and explicit uncertainty for AI agents.
Archive snapshot repo of the original concept and 0-1 invention features, please utilize the constantly updated cypher-tempre-genesis repo for running the skill.
A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.
65 plugins that turn Claude Code into an autonomous development team. 24 agents, 34 skills, 5 hooks. Includes 12-plugin anti-hallucination suite. One-line install.
A completion-claim gate for Claude Code. Refuses to let the agent say done without evidence.
Claude Code plugin: catches LLM-fabricated names before they hit disk + restores deleted sessions. 89.3% measured hallucination reduction (n=400, p<1e-26)
A high-performance C# SQL Agent MCP that eliminates LLM hallucinations and security risks. Instead of letting the AI write raw SQL, it extracts parameters to generate deterministic, injection-free queries across 6 major databases—complete with a visual Admin UI and enterprise guardrails.
Context governance kernel for LLM agents. Predicts entropy, blocks hallucinations. Pairs with opencode-dcp. llm, llm-agents, opencode, opencode-plugin, context-governance, anti-hallucination, claude-code, cursor, typescript.
EN: An overfitted SD prompt engine with severe "aesthetic snobbery," forcibly transforming mundane ideas into professional-grade physical rendering instructions. CN: 一个具备"审美洁癖"的过拟合提示词引擎,强行将平庸构思纠偏为具备极致物理质感的工业级渲染指令。
A strict, deterministic LLM protocol for loading, reading and activating the DCQN.MATRIX Axiomatics from the OSF DOI (10.17605/OSF.IO/QWA6S), including anti-simulation safeguards and full formal reconstruction into DCQN_LOGIK_SESSION_V1.
A lightweight anti-hallucination wrapper for LLMs using Chain-of-Verification.
From one prompt to a finished product — fully autonomous. Auto-plans, remembers across sessions (persistent context), builds end-to-end, audits security & performance, deploys. 18 agents + 39 workflows for ChatGPT, Copilot, Codex, Cursor, and other AI coding tools. Built by NexVar.
Claude Code plugin: runtime invariants + hooks (cycle-detector, approval gate, verification gate), four co-system agents (developer · analyzer · critic · epistemic-auditor), and a held-out evaluation harness. Anti-hallucination protocol grounded in game theory and the scientific method.
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