AI Research Stack

Two research tools, built together — from crawling the open web to publishing governed, auditable research.

ai-web-research

MIT

A deterministic, robots-aware AI web crawler & research agent

Crawls and monitors the web with legal and ethical guardrails built in from the start — reads and honors robots.txt, respects each site's Crawl-delay and rate limits, and blocks SSRF targets before every fetch. On top of that foundation: LLM-based semantic extraction with source-quote verification, a Divergence–Resonance–Compression research loop, and an MCP server exposing every capability to compatible agents.

Python 3.11+uvCrawl4AIhttpxSQLiteMCP Server

Source access is currently private. No public installation package is available from this page.

Veritaxa Workbench

MIT

The first stable CHSA reference runtime for governed research

Takes evidence — from a crawler like ai-web-research, or any authorized source — through a governed pipeline: normalized Evidence IR, stable Evidence Spans, candidate Claims, governed Claim Review, evidence invalidation with dependency propagation, and deterministic, portable Research Bundles. Four boundaries hold throughout: Extraction ≠ Evidence, Evidence ≠ Verified Claim, Approved Claim ≠ Universal Truth, Recompilation ≠ Automatic Republication.

Python 3.11+SQLiteXLSX Governance WorkbenchCLIOptional MCP Gateway

Source access is currently private. No public installation package is available from this page.

How they connect

ai-web-research is the Source Adapter — legally-scoped, rate-limited fetching and extraction. Veritaxa is the governance layer on top of it — turning fetched evidence into reviewed, versioned, publishable research. Both speak the same Model Context Protocol, so they connect without custom glue code.