Long-term memory & proactivity
AI long-term memory means the model remembers facts and preferences about you across many conversations and acts on them proactively — instead of starting from scratch every time.
Making AI truly "remember you" and "reach out to you" is a core capability of Enclave. This set explains how long-term memory works, how it differs from the context window, and what proactive interaction is.
Content in this topic
- AI with long-term memory: why it matters and how Enclave does it
- How does AI long-term memory work? Context windows, RAG, and structured memory
- What is a memory-equipped AI agent? Why it's more useful than a chatbot
- AI that reaches out to you: what "proactive AI" is, and how Enclave does it
- Enclave vs ChatGPT memory: two kinds of "AI that remembers you"
- Enclave vs ChatGPT: The difference between a private assistant world and a general-purpose chat assistant
- Feed your documents to the world, and AI cites them as you chat
- A notebook that organizes itself — and answers questions
- Long-term Memory
- Context Window
- Retrieval-Augmented Generation (RAG)
- Vector Search
- Proactive AI