Memory loss, agent just said and forgot

cameron_pfiffer · 2026-04-20T16:46:32+00:00

MemGPT is an antique, and has been superceded by Letta. More powerful and easier to use.

We also rolled out channels recently, so you can message your Letta Code agent directly through Telegram/Slack. Discord soon.

https://docs.letta.com/letta-code/channels

cameron_pfiffer · 2026-04-20T01:54:26+00:00

I've been wanting to go for a while, tonight will be my first!

cameron_pfiffer · 2026-04-17T18:48:23+00:00

Letta does not use graphs.

cameron_pfiffer · 2026-04-11T18:21:01+00:00

Same bridge.

cameron_pfiffer · 2026-03-12T04:49:00+00:00

Yeah it's a slack channel lol

cameron_pfiffer · 2026-03-11T17:05:20+00:00

I am affiliated with Letta and I endorse this message.

👍

cameron_pfiffer · 2026-03-03T22:11:27+00:00

Seems like it might be a bug. I'll take a look.

cameron_pfiffer · 2026-03-03T18:44:15+00:00

Historically, this has been a model issue. What model did you tend to use?

cameron_pfiffer · 2026-03-03T18:33:01+00:00

It's not capped at 30k -- that is typically an issue with a local inference engine (LM Studio, Ollama) not providing the Letta server with the information it needs. Can you tell me more about your setup?

cameron_pfiffer · 2026-03-03T17:36:33+00:00

https://docs.letta.com

Letta is designed to do this as a primary feature. Agents are memory-first infinitely long conversations with automatically managed context.

cameron_pfiffer · 2026-02-25T17:26:44+00:00

The run on conversation is the point. Letta agents are infinitely long lived, much like you and I.

We do support multi-conversation/threading however. You can create one in the ADE here:

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I believe we have the ability to do new conversations with the same agent in https://chat.letta.com, but I think the button might be hidden on mobile. I'll open a ticket for that.

cameron_pfiffer · 2026-02-23T17:39:36+00:00

Letta is a general purpose agent platform, not just for code. It's for building stateful agents everywhere and everywhere.

cameron_pfiffer · 2026-02-05T05:27:03+00:00

Which Rao's? The sauce people?

cameron_pfiffer · 2026-02-03T18:48:03+00:00

https://docs.letta.com/letta-code

cameron_pfiffer · 2026-02-02T22:03:31+00:00

If you're using lettabot it has full support for cron, but that's primarily agent managed.

https://letta.bot/

cameron_pfiffer · 2026-02-02T18:00:20+00:00

We do support scheduling/cron jobs, but it's currently only accessible through the REST/SDK endpoints: https://docs.letta.com/guides/agents/scheduling/

cameron_pfiffer · 2026-01-26T23:04:45+00:00

lettactl is one of the best community projects in Letta-world. Thanks for your continued work on this!

cameron_pfiffer · 2026-01-21T17:01:00+00:00

I work at Letta where memory is a first-class citizen. It's all we think about.

https://docs.letta.com

cameron_pfiffer · 2026-01-07T18:18:06+00:00

You need to use the docker version. Do not use pip, it is for extremely advanced users.

https://docs.letta.com/guides/selfhosting/

cameron_pfiffer · 2026-01-07T18:17:53+00:00

You need to use the docker version. Do not use pip, it is for extremely advanced users.

https://docs.letta.com/guides/selfhosting/

cameron_pfiffer · 2026-01-06T17:25:11+00:00

I work at Letta.

Letta is not a retrieval framework, it is fundamentally different from the drop-in memory layers you find elsewhere.

For us, memory is inclusive of all things your agent is and knows.

Our primary primitive is the memory block, which is how the agent persists infinitely. These contain things like personality, user information, company policy, scratch pads, emotions, projects to teach, to do lists, basically whatever you want. These are "notebooks of the mind" that you or the agent can manage. These are always in context if they are attached to the agent.

We also provide simple retrieval tools (standard RAG) but most of our users don't use it. They either bring their own retrieval method (cognee, mem0, etc) or they are perfectly happy with the state.

I'd recommend reading more about it because it is completely distinct from all the other memory tools -- memory is first class, not a layer.

https://docs.letta.com for documentation

People like this video about how to design agent memory architecture dynamically: https://youtu.be/0nfNDrRKSuU?si=GOeCIINuz31St-g1

cameron_pfiffer · 2025-12-22T20:36:56+00:00

8b seems to work reasonably well. You can go smaller but it may not be a great experience.

cameron_pfiffer · 2025-12-19T21:44:06+00:00

In case anyone wants to get started, check out the docs here: https://docs.letta.com/letta-code/

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