Start Building

tip

If you are using an LLM during development (Cursor, ChatGPT, Claude Code, etc.), we strongly recommend providing it with our llm.txt file to help the LLM understand how to build on Nillion. Learn more in our AI-Assisted Workflow guidelines.

Quickstarts

Start building privacy preserving apps by following one of our quickstarts.

🖥️

Private Compute

Run Docker applications in TEEs with cryptographic attestation using nilCC.

🏛️

Private Storage

Read and write records to an encrypted database using nilDB APIs.

💬

Private LLMs

Run OpenAI-compatible LLMs privately in a TEE within a nilAI node, without exposing user data.

Libraries

🔐

blindfold

Encrypt/decrypt and secret share data using the blindfold library.

🔍

nilRAG

Provide context to SecretLLM from SecretVault with nilRAG library.