---
title: "Discussion on \"Memory and Context Management in Long-Running AI Agents\" | Hashnode"
description: "Discussion on \"Memory and Context Management in Long-Running AI Agents\". Most AI agent tutorials focus on single-turn conversations or simple API calls. Production systems operate differently. They handle ongoing user sessions, multi-day workflows, and complex state manage"
url: "https://hashnode.com/posts/memory-and-context-management-in-long-running-ai-agents/6a1e1b89cb7a80b4b7a22929"
---

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# [Memory and Context Management in Long-Running AI Agents](https://omnithium.hashnode.dev/memory-and-context-management-in-long-running-ai-agents?utm_source=hashnode&utm_medium=feed)

Most AI agent tutorials focus on single-turn conversations or simple API calls. Production systems operate differently. They handle ongoing user sessions, multi-day workflows, and complex state manage

Jun 1 · 9 min read · omnithium.hashnode.dev  
Updated Jun 3  
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-   [#memory](https://hashnode.com/tag/memory)
-   [#context-window](https://hashnode.com/tag/context-window)
-   [#ai-agents](https://hashnode.com/tag/ai-agents)
-   [#architecture](https://hashnode.com/tag/architecture)
-   [#engineering](https://hashnode.com/tag/engineering)

## Written by

[Omnithium](https://hashnode.com/@moussamokhtari)

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Building, deploying, and governing intelligent AI agents at enterprise scale.

Building, deploying, and governing intelligent AI agents at enterprise scale. The element of everything. https://omnithium.ai

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