Landlock-Sharp

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Learn Curiosity Workspace

Build, query, and extend the graph + search + AI platform.

Deploy and manage

Roll out Curiosity to Docker, Kubernetes, or your cloud of choice.

Build enterprise AI apps

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.

Run NLP pipelines on your own text with our open-source library.

.NET bindings for Facebook's RocksDB key-value store.

C# wrapper for the Linux Landlock kernel sandboxing feature.

Test, ingest, sync, and promote workspaces from any shell.

Open Source Projects

Browse every open-source project Curiosity maintains.

Support

Advanced topics

These pages cover the parts of Landlock-Sharp you won't reach for on day one — but which become important once you're putting it into production code.

Error handling

The exceptions the binding throws, the underlying errno values, and how to recognise common failure modes.

Testing strategies

How to write tests for sandboxed code, how to skip them on unsupported hosts, and the pattern used by the library's own test suite.