Agent Memory
Best AI Agent Memory Tools in 2026
Memory tools help agents preserve user facts, task state, preferences, and long-running context beyond a single prompt window.
Search intent: Find practical agent memory systems and understand when memory is a product feature instead of a larger prompt.
Last reviewed
May 11, 2026
Tools considered
4
Open source options
4
Definition
Agent memory is the layer that decides what an agent should remember, retrieve, update, and forget across turns, users, and tasks.
Use cases
- Personal assistants that need stable user preferences
- Support agents that need account and conversation history
- Research workflows where findings must survive between runs
Selection criteria
- Does it support user-level isolation and deletion?
- Can memories be inspected, edited, and evaluated?
- Does retrieval improve decisions without flooding the prompt?
Selection advice
Use a dedicated memory layer when remembering facts is part of the product contract; use plain RAG when the task is mostly document grounding.