Give your Hermes agent the web as real sources, never a made-up answer — multi-provider search and extraction with an optional local, key-free DonSeTch option.
Local-first, source-grounded prompt library & workflow toolkit for Gemini Notebook (NotebookLM). 90 prompts · 30 themes · 3 audiences · 10 workflows.
Local evidence checks for AI agents and RAG. Catch broken citations, quote mismatches and unsupported numbers in supplied sources. Deterministic Python library, CLI and MCP server; no model API key for core checks.
ALR-TW：台灣法律研究與查證框架 | Taiwan Legal Research and Verification Framework
Turn contested questions into interactive, source-grounded evidence maps.
Open-source verifier for document citations, source evidence, RAG, and agents, with built-in document parsing.
Give your agent the web as real sources, never made-up answers — an MCP server with 15 search and 9 extract providers plus an optional local, key-free DonSeTch integration.
AI feedback triage pipeline with traceable outputs, evaluation, source grounding, and human review.
FastAPI service that checks extracted knowledge graphs on two axes: deterministic SHACL conformance (keyless) and LLM source-grounding (BYOK). Azure Container Apps, OIDC CI/CD, OpenTelemetry.
Turn research papers into source-traceable, validated AI podcast scripts and audio.
Worldwide Council — source-grounded multi-agent deliberation with citation verification and fail-closed controls.
Production-oriented template for building AI agent skills as verifiable software components — offline eval harness, source-grounding validators, structured logs/traces/metrics, replay artifacts, and a CI quality gate. Runs fully offline with a deterministic mock model.
A minimal laboratory prototype for legal AI safety boundaries: source grounding, jurisdiction limits, service-boundary refusal, QA metrics, and Active/Shadow update discipline.
Source-backed developer-tool research agent with Firecrawl, OpenAI, LangGraph, explicit unknowns, and verifiable exports.
Chinese financial news to structured events, with independently verified source grounding
High-precision information extraction framework.
A full-stack AI-powered platform for verifying whether generated claims are supported by source documents.
Source-backed healthcare cost explainer with privacy-safe demos, public guidance, and a polished Next.js workflow.
A standalone MCP suppressor that enforces grounding by validating references, rejecting unsupported claims, and stabilising model outputs.
Open Cystic Fibrosis research notes, 285-source permissions catalog, 4-structure 3D CFTR cryo-EM model, claim checkers, and clinical trial endpoint tools. Research, not medical advice.
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