---
title: "Eli Schilling's workshop at AI Dev 26 focused on Memory Engineering and Context Engineering, and sha..."
source_name: "DeepLearning.AI(@DeepLearningAI)"
original_url: "https://x.com/DeepLearningAI/status/2049252707144499246"
canonical_url: "https://www.traeai.com/articles/3d0a8503-b565-4196-a606-b2c98eaf0220"
content_type: "tweet"
language: "英文"
score: 7.5
tags: ["AI","Memory Engineering","Context Engineering"]
published_at: "2026-04-28T22:21:33+00:00"
created_at: "2026-04-30T04:59:19.617815+00:00"
---

# Eli Schilling's workshop at AI Dev 26 focused on Memory Engineering and Context Engineering, and sha...

Canonical URL: https://www.traeai.com/articles/3d0a8503-b565-4196-a606-b2c98eaf0220
Original source: https://x.com/DeepLearningAI/status/2049252707144499246

## Summary

Eli Schilling在AI Dev 26研讨会上介绍了记忆工程和上下文工程，并展示了如何使用Oracle AI数据库、LangChain和Tavily构建以记忆为中心的代理。

## Key Takeaways

- 记忆工程和上下文工程是构建智能代理的关键。
- 使用Oracle AI数据库等工具可以实现记忆优先的代理。
- 没有记忆的AI代理只是具有野心的自动完成。

## Content

Title: DeepLearning.AI on X: "Eli Schilling's workshop at AI Dev 26 focused on Memory Engineering and Context Engineering, and shared a working mental model of both disciplines and hands-on exposure to building a memory-first agent harness using @Oracle AI Database, LangChain, and Tavily.

"An AI Agent https://t.co/mygTjIYZ9r" / X

URL Source: http://x.com/DeepLearningAI/status/2049252707144499246

Published Time: Thu, 30 Apr 2026 04:58:37 GMT

Markdown Content:
# DeepLearning.AI on X: "Eli Schilling's workshop at AI Dev 26 focused on Memory Engineering and Context Engineering, and shared a working mental model of both disciplines and hands-on exposure to building a memory-first agent harness using @Oracle AI Database, LangChain, and Tavily. "An AI Agent https://t.co/mygTjIYZ9r" / X

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Eli Schilling's workshop at AI Dev 26 focused on Memory Engineering and Context Engineering, and shared a working mental model of both disciplines and hands-on exposure to building a memory-first agent harness using 

[@Oracle](http://x.com/Oracle)

 AI Database, LangChain, and Tavily. "An AI Agent without memory is just autocomplete with ambition. Give your agents the memory they deserve so they can stop forgetting and start learning." Explore the session's repo: [https://github.com/oracle-devrel/oracle-ai-developer-hub/tree/main/workshops/agent_memory_workshop…](https://t.co/AxCHsa8Yqy)

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[10:21 PM · Apr 28, 2026](http://x.com/DeepLearningAI/status/2049252707144499246)

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