Create Context Graph

AI agents with graph memory, scaffolded in minutes

terminal

$ uvx create-context-graph

Everything you need

From domain ontology to running full-stack app in one command

🏥

Healthcare, financial services, manufacturing, and 19 more. Each with a complete ontology, demo data, and agent tools.

🤖

PydanticAI, Claude Agent SDK, LangGraph, CrewAI, and more. Pick your framework, get a working agent.

📄

LLM-generated entities, professional documents, and multi-step decision traces. Ready to explore out of the box.

🔗

Interactive NVL graph explorer with entity detail panel. Click any node to see properties and connections.

⚡

Import from GitHub, Slack, Gmail, Jira, Notion, and Salesforce. Or generate synthetic data.

✨

Describe your domain in plain English. The LLM generates a complete ontology, tools, and data.

Scaffold, install, seed, and start

$ uvx create-context-graph my-app --domain healthcare --framework pydanticai --demo-data

$ cd my-app && make install && make docker-up && make seed && make start

  🏥 Healthcare Context Graph is ready!

  Backend:  http://localhost:8000

  Frontend: http://localhost:3000

terminal

$ uvx create-context-graph