How to add long-term memory to an AI agent (free)

Why memory

A stateless agent forgets everything between turns. Long-term memory lets it recall facts, preferences, and past interactions — the difference between a demo and a useful assistant.

How it works

1. Capture salient facts from each interaction.
2. Embed and store them in a vector store.
3. Retrieve relevant memories at the start of each turn and add them to context.

Free building blocks on ai-supply

Memory layers, embedding models, and vector stores are all in the catalog, each security-scanned. Combine a memory capability with an embedding model from the data category, and orchestrate it from the orchestration category.

Compose a memory-augmented agent from vetted, free parts — browse the catalog.