Bicameral deterministic AI runtime: Zero-hallucination System 1/2 reasoning engine with cryptographic audit trails (RFC 8785, Ed25519) and PoSP consensus arbitration.
-
Updated
Nov 8, 2026 - Python
Bicameral deterministic AI runtime: Zero-hallucination System 1/2 reasoning engine with cryptographic audit trails (RFC 8785, Ed25519) and PoSP consensus arbitration.
Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions
Google LangExtract is NOW LOCAL! Zero Hallucination Document AI - Structured information extraction using local Ollama models with exact character offset grounding
Fast System-1 Decision, Arbitration & Safety Engine for Autonomous AI Agents (Powered by TypeSafe Jev)
Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring
Evidence-based clinical workflow assistant with agentic RAG for hypertension care with LangGraph orchestration, hybrid retrieval, OKF knowledge spine, safety-first guardrails, and Vercel deployment.
World's First 250M Small Language Model with a Native NVMe Hardware Memory Bus. 100% Factual Retrieval, 100% Math Precision, #1 Composite Efficiency (0.40). Architect: Yadlapalli Avinash Ricky.
A smart, offline AI assistant for Elmergib University students to quickly look up academic bylaws, attendance limits, and graduation rules with verified official citations and zero guessing.
An evidence-first bilingual Quran research workspace powered by Sanity Content Lake & Context MCP. Zero-hallucination scripture and structured classical exegesis.
A completely offline, privacy-first Retrieval-Augmented Generation (RAG) assistant built with Microsoft Foundry Local, phi-3.5-mini, and SQLite vector search.
The System Prompt Architecture that upgrades LLMs into Senior B2B Systems Architects. Enforces Zero-Defect coding via Toyota Jidoka and Inversion Thinking.
Production-grade grounded Enterprise RAG pipeline using Hybrid Search (BM25 + Dense Vector), Cross-Encoder Reranking, and Zero-Hallucination Guardrails for auditable compliance search.
Unigen 研究如何让 LLM 自行规划出逼近人类设计的任务执行序列。核心机制:对 LLM 输出做逻辑升阶,用 Validator(验证器)施加确定性约束,驱动输出收敛到可执行解。当前已验证:借助人类领域专家的本体知识,可将任意人类智力工作流转化为弱模型也能稳定执行的 Agent。通用方向(让 AI 自主积累本体空间)处于研究阶段。
A hybrid neuro-symbolic AI framework designed to eradicate LLM hallucinations in enterprise contract review using deterministic Python logic.
Enterprise-grade Agentic BI Assistant built with LangGraph and Pandas. Converts natural language business queries into structured JSON query plans with self-healing schema validation loops.
🎙️ Zero-Hallucination Conversational Voice AI for Indian Mutual Funds — Deepgram Nova-3, Groq LPU, Cryptographic AuditStream Firewall
Bicameral deterministic AI runtime: Zero-hallucination System 1/2 reasoning engine with cryptographic audit trails (RFC 8785, Ed25519) and PoSP consensus arbitration.
Autonomous UK bookkeeping pipeline for HMRC MTD & Xero. Eliminates 35+ hrs/wk of manual data entry with 100% zero-hallucination tax categorization via dynamic Pydantic enums.
Autonomous B2B Multi-Rail Settlement Copilot & Invariant Financial Operations Sentinel (Next.js 14, Hermes-3 ReAct, FastMCP, ISO-7064 Mod-97, Base USDC)
Offline chemistry solver: stoichiometry, gas laws, solutions, chemical equilibrium, acids and bases, kinetics, thermochemistry, electrochemistry, molecular properties and spectroscopy, with steps, LaTeX and honest refusals
To associate your repository with the zero-hallucination topic, visit your repo's landing page and select "manage topics."