Agents that remember

Claude · Intermediate ·🧠 Large Language Models ·2mo ago

About this lesson

Every time you close a session, your agent loses everything it learned. In this workshop, you'll wire persistent memory onto a Claude agent and then use Dreaming to batch-consolidate past transcripts into structured recall. By the end of the 45 minutes, you'll have an agent that remembers across sessions and you'll know how to set this up for your own agents.

Original Description

Every time you close a session, your agent loses everything it learned. In this workshop, you'll wire persistent memory onto a Claude agent and then use Dreaming to batch-consolidate past transcripts into structured recall. By the end of the 45 minutes, you'll have an agent that remembers across sessions and you'll know how to set this up for your own agents.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
A Real Neuro Symbolic Architectured AI - BrainStem_V8 Needs to Sleep
Learn how BrainStem_V8's neuro-symbolic architecture addresses AI's 'hallucination' problem by incorporating sleep-like mechanisms, and why this matters for next-gen AI stability
Dev.to AI
 📰
8 Best AI Gateways for LangChain and LlamaIndex Applications
Discover the top AI gateways for LangChain and LlamaIndex applications to streamline your workflow and improve efficiency
Dev.to AI
 📰
Online Reinforcement Learning for Large Language Models
Learn how online reinforcement learning enhances large language models by incorporating real-time user feedback for continuous improvement
Dev.to · Mikuz
 📰
7 Best AI Gateways for Early-Stage AI Startups in 2026
Discover the top 7 AI gateways for early-stage AI startups to build scalable LLM-powered applications
Dev.to · Andrei Popescu
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →