Fundamentals
Fundamentals
These guides explain the public concepts behind Neutron AI integrations. They avoid implementation details and focus on the decisions your product needs to make.
Sections
| Section | What you will learn |
|---|---|
| Architecture | Where Neutron AI fits between your app, agent runtime, and model provider. |
| Memory model | How tenants, scopes, records, and context packs work. |
| Compression | How long histories become compact agent memory. |
| RAG and cached context | When to retrieve fresh memory and when to reuse context packs. |
| Context cache | How to configure cache policy for repeated tasks. |
| Security | How to keep tokens, scopes, and memory safe. |
| Languages | Which integration surfaces are available. |
| UI patterns | How to expose user-facing memory controls. |