Whose Memory Is It? Building Multi-Tenant, Multi-Tier Memory for AI Agents (Part 1)
This is a 4-part series on how agents remember: building short-, medium- and long-term memory that scales across users, agents, and kubernetes clusters.
LLMs are stateless by design, and without added memory logic every session starts from zero.
A number of dedicated memory layers have emerged (and continue emerging almost daily) to tackle this, each with different approaches and tradeoffs. Which one should you adopt?
Recently I spent some time extending the Kubernetes Agent Orchestration System (KAOS) to support multi-tiered memory persistence (aka short-, medium- and long-term memory). Along the way I hit most of the same issues that anyone would whilst building or integrating multi-tiered memory into an agentic system, so I thought it would be useful to compile all the learnings, design choices and examples into this 4-part series.
Hopefully this post is useful for anyone looking to do this on their own project. My objective:
Let’s make...
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