A general-purpose AI research platform that takes a location + topic, browses the web for real-world data, generates summaries, and stores everything as a knowledge graph.
Work in progress.
Build a knowledge acquirer agent that can research specific queries and store structured findings into a graph database. Example: "What are good venues for musicians to reach out to in Middlesbrough?" → list of venues with contact details, live music ratings, and recent gig data.
- Agent — TypeScript browser app (Vite)
- Server — Go REST API, tool execution, graph writes
- Database — Neo4j knowledge graph
- LLM — llama-server (local inference)
- Diagrams — PlantUML server (Docker, port 7070)
PlantUML diagrams live in docs/. Render with:
curl -s http://localhost:7070/png -H 'Content-Type: text/plain' \
--data-binary @docs/your-diagram.puml \
--output docs/your-diagram.pngFoundation phase complete. Knowledge graph schema, research pipeline, and tool integration in progress.