Agents
The most important post I've read all week by @hwchase17 . Memory, particularly memory consistency is the biggest performance inhibitor to A…
The most important post I've read all week by @hwchase17 . Memory, particularly memory consistency is the biggest performance inhibitor to AI agents today. As we interact with different harnesses and
The most important post I've read all week by @hwchase17 . Memory, particularly memory consistency is the biggest performance inhibitor to AI agents today. As we interact with different harnesses and memory architectures to do tasks requiring intimate personal data, it's worth first asking the question of who ultimately owns the agent's memory?
Related
- “Memory is important, and it creates lock in” Exactly why I don’t want OpenAI, Anthropic or any of the other AI companies owning it.
- Relying on model providers' stateful APIs or harnesses creates lock-in: switching models means losing your agent's memory -- a cost that onl…
- memory ownership is why we need open harnesses blog about this coming this weekend
- 'Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it …
- This post is so so good. We are at this interesting point where we’ve started to really figure out ‘memory’ with these LLM-based systems. An…
Source: Harrison Chase (X) | 2026-04-11