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.
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Updated
Aug 17, 2026 - Python
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.
Checks AI claim/source packets before human review: missing references, quote mismatches, weak lexical support, and unmatched numbers. CLI, Python API, and MCP.
Agentic Legal RAG / MCP Harness for Taiwan Law.
Open-source verifier for document citations, source evidence, RAG, and agents, with built-in document parsing.
Turn contested questions into interactive, source-grounded evidence maps.
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.
A source-grounded, multi-tradition debate council for Claude Code, Codex, and MCP—with structured claims, citation verification, fail-closed boundaries, and traceable authority rendering.
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.
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.
A full-stack AI-powered platform for verifying whether generated claims are supported by source documents.
Local-first AI job discovery workflow with source-health checks, job-card matching, and human-review application gates.
Trusted financial AI, agentic workflows, and senior AI product/platform architecture.
Leadership notes on trusted financial AI, platform strategy, and governed agentic systems.
Chinese financial news to structured events, with independently verified source grounding
High-precision information extraction framework.
Source-grounded knowledge maps for humans and agents.
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