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title: How Do AI Agents Remember It's Not What You Think
description: LLMs have no built-in memory between interactions. To maintain coherence across multiple steps, AI agents work by re-feeding the entire conversation history...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# How Do AI Agents Remember It's Not What You Think

**[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 1 min read · 1 upvotes · 1 comments

## Summary

LLMs have no built-in memory between interactions. To maintain coherence across multiple steps, AI agents work by re-feeding the entire conversation history back into the context window on every turn. This means the model isn't truly remembering — it's re-reading all prior exchanges each time it runs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=N0tY9JXRi_A>

## Questions this post answers

### how do AI agents remember previous parts of a conversation if LLMs have no memory

AI agents do not actually have memory; the underlying language model has no built-in way to retain information between calls. Instead, the full conversation history is resent back into the context window on every turn, so the model effectively re-reads everything that happened so far each time it generates a response.

_Developers wiring up agent memory can dig deeper into context-window tricks on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@confidentcoding** · 0 upvotes

> LLMs are the equivalent to Roguelike games; they start from the beginning on each and every prompt.

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents)

[View this post on daily.dev](https://daily.dev/posts/how-do-ai-agents-remember-it-s-not-what-you-think-kxymbr7nj)

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