---
title: "Hierarchical Memory: Context Management in Agents — Sally-Ann Delucia"
url: https://daily.dev/posts/hierarchical-memory-context-management-in-agents-sally-ann-delucia-banf0pbpf
source_url: https://www.youtube.com/watch?v=esY99nYXxR4
type: video:youtube
source: "AI Engineer"
published: 2026-05-10T19:01:15.400Z
updated: 2026-05-10T19:27:23.025Z
tags: ["llm", "ai-agents", "context-engineering"]
reading_time: 16
upvotes: 0
comments: 0
language: en
---

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# Hierarchical Memory: Context Management in Agents — Sally-Ann Delucia

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 16 min read · 0 upvotes · 0 comments

## Summary

A product lead at Arise shares lessons learned building an AI agent (Alex) over nearly a year, focusing on context management strategies. The talk covers a vicious loop of context overflow failures, why naive truncation and LLM summarization both failed, and how a 'smart truncation with memory store' approach (keeping head and tail of context, storing the middle for retrieval) became their working solution. Key insights include: context engineering matters more than prompt engineering for agent success, long sessions require dedicated evaluation (loading 10 turns and testing the 11th), and offloading heavy data operations to sub-agents keeps the main conversation context lean. Open challenges include long-term memory across sessions, principled context budgeting, and handling ever-growing conversation lengths.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=esY99nYXxR4>

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---

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

[View this post on daily.dev](https://daily.dev/posts/hierarchical-memory-context-management-in-agents-sally-ann-delucia-banf0pbpf)
