DEFINITION
Long-term Memory
Long-term Memory for AI Agents
Definition
A capability that enables AI agents to persist, retrieve, and reason over information across multiple interactions and sessions, moving beyond single-conversation context windows. Typically involves structured storage, retrieval mechanisms, and reflection logic to maintain coherent agent state and decision history.
Examples in the Wild
- Example 1:TypedMemory library for storing agent interactions and reflections
- Example 2:Vector database retrieval for semantic memory lookup
- Example 3:Agent state snapshots for resuming workflows across sessions