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ontology

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Disciplined AI Collaboration: a method for building software with AI. One loop at every size, rules held by checks rather than attention, state derived rather than written, evidence in place of claims. Includes the PAG grammar, an architecture and a queryable ontology. Every page is also served as Markdown and JSON at banes-lab.com.

  • Updated Oct 5, 2026
  • TypeScript

Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clustering. AI-native via MCP tool surface and relay bridge. Fully client-side, no backend required.

  • Updated Sep 24, 2026
  • TypeScript

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.

  • Updated Oct 5, 2026
  • TypeScript

The ontology is the software. One executable business ontology: AI writes it, the runtime runs it, agents operate it, you own it. Open protocol & runtime, Apache-2.0.

  • Updated Oct 5, 2026
  • TypeScript
sofagent

sofagent is an open-source FDE Harness for AI coding agents — on entry, write your business judgment into files (workflows, ontology, AI nodes); after departure, audit every change against them. 25 codified audit rules, tamper-evident chain, snapshots, and an MCP toolset (104 tools, 11 plugins). Everything can be FDEing.

  • Updated Oct 5, 2026
  • TypeScript

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