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

June 23, 2026

Tools considered

14

Open source options

13

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.

Tool comparison snapshot

ToolBest forOpen sourceMain tradeoffOpen
Mem0user memoryYesstatic document Q&AOpen
Zeptemporal memoryYessmall prototypes that only need session historyOpen
Honchouser identity modelingYessimple key-value memoryOpen
OpenVikingfilesystem-based contextYesmanaged cloud-only teamsOpen
Hindsightknowledge graph memoryYessimple vector-only retrievalOpen
Holographicvector symbolic architecturesYesdistributed production deploymentsOpen
RetainDBhybrid retrievalYessimple key-value cachingOpen
ByteRoverpre-compressed extractionYesgeneral-purpose vector searchOpen