Build Agents that Never Forget: LangMem Semantic Memory Tutorial

Build agents that remember facts, relationships, and user context across conversations. You'll implement a memory system that lets your agent recall past information, adapt responses based on user history, and maintain separate memories for different users.

Implementation: https://github.com/langchain-ai/langm...
Docs: https://langchain-ai.github.io/langmem/

Chapters:
[0:00] Core concepts
[0:21] What we're building
[0:45] Basic agent setup
[1:45] Memory tool configuration
[2:54] Tool interaction analysis
[4:39] Namespace isolation
[6:09] Search optimization
[7:21] Summary

로딩 중...

Build Agents that Never Forget: LangMem Semantic Memory Tutorial

Want to monetize your app? PacketSDK provides you with the best solution!

Antigravity 3.0 (New Upgrades): These New Updates make ANTIGRAVITY REALLY GOOD!

THIS secret Python operator will make your code 3x shorter

[KO] Pretraining에 RL을 적용한다? | 꼬리의 꼬리를 무는 페이퍼

Shipmas Day 15: Claude Code Skills Will Dominate 2026

금요일 밤은 뜨겁구나