Agent Memory

Agent Memory is the persistence layer we reach for when building production agent systems. It handles episodic recall, semantic search over past interactions, and structured working memory — the things that make an agent feel like it knows your environment rather than starting fresh every call. Not a product in a box yet, but every engagement that needs long-horizon memory is built on this substrate.

• 01

  Episodic memory with configurable retention windows

• 02

  Semantic retrieval via vector similarity — finds relevant context across long histories

• 03

  Structured working memory for agent state and in-flight task context

• 04

  Namespace isolation so multi-tenant setups don't bleed context

• 05

  Write-through cache design — fast at read time, consistent at write time

• 06

  Hooks into standard agent frameworks (LangChain, custom loops)