Build, query, and extend the graph + search + AI platform.
Roll out Curiosity to Docker, Kubernetes, or your cloud of choice.
Ship domain-specific AI apps with custom UIs, endpoints, and connectors.
Model your data as typed nodes and edges with stable keys.
Query with text, vector, and hybrid retrieval — permission-aware.
Ground LLMs, embeddings, and agents in your own graph.
Compose UIs in C# with our front-end component library.
Transpile C# to JavaScript and run it in the browser.
Test, ingest, sync, and promote workspaces from any shell.
Browse every open-source project Curiosity maintains.
These connectors ingest wiki-style content: spaces, pages, notebooks, notes, and the rich-text bodies you'd otherwise need to scrape. Page bodies are rendered to HTML or extracted text so the workspace can index them for full-text + vector search.
