domain-modeling

Git-native, evidence-backed domain semantic layer for AI agents and human maintainers.

A library to validate values of nested structs with their type spec t() and associated precondition functions

A minimal, readable reference implementation of the Operational Ontology pattern. Palantir Foundry is one implementation; this is the concept, minimized.

A complete Domain-Driven Design (DDD) toolset for implementing domain models, including base types and source generators.

Domain modeling. Event sourcing. CQRS.

Ontology-driven WorkBuddy skill for requirements discovery, domain modeling, and app generation | WorkBuddy 需求探索、本体建模与领域应用生成器

A set of tools for working with domain models

Stanford Ontology 101 methodology for TypeScript domain modeling. 7-step process from competency questions to typed data architectures. Gruber 5 principles. 30+ concept mappings. Works with Claude Code, Cursor, Windsurf.

Effect-native single source of truth for your API

Fight primitive obsession and create expressive domain models with source generators.

GEO-INFER — a 45-module geospatial inference monorepo from the Active Inference Institute. Spatial analysis, active inference, domain modeling, agent workflows, and reproducible repository validation in one uv/Python workspace (H3, Bayesian models, place & risk).

This is (yet another) take on the Gilded Rose Kata, originally conceived by Terry Hughes.

Domain modeling with TypeScript and FModel library, utilising Deno runtime

Fmodel demo - Functional and Algebraic Domain modeling

UniGraph 是开源的一站式知识图谱平台：先定义领域 Schema，从文档抽取实体与关系，再构建并可视化知识图谱，最后得到带引用、可追溯的 GraphRAG 问答。面向企业领域文档库，比只做向量检索的普通 RAG 多一层结构化知识。An open-source knowledge graph platform for schema design, entity extraction, graph construction, graph visualization and traceable graph rag Q&A. 支持 self-hosted 本地部署，Vue3 + FastAPI。

Domain modeling: Projections course examples

Domain Modeling Made Functional in Gleam

Agent Ontology Kit — a portable skill that makes AI agents understand a business before they act. Extracts four-layer ontologies (upper/domain/task/application) from companies, APIs, markets, and codebases.

Agent Skills for BESSER — deep BESSER knowledge for AI coding agents: UML class modeling, code generators, troubleshooting, and contributor workflows.

OpenOntologyLite is a lightweight, vendor-neutral semantic layer for portable organizational knowledge across AI systems, databases, RAG, policy engines, and vendors.