Agent Memory
How agents remember, retrieve, and reason over context.
Agent memory is the layer that lets an AI agent persist and recall information across steps and sessions — short-term context, long-term stores, and the retrieval strategies that decide what gets back into the prompt.
8 episodes
- Slack Wants to Be the Context Harness for Code | CPO Jaime DeLanghe
- Time to Exploit is Negative: AI Broke the Patch Cycle | Dan Lorenc
- The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu
- Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle
- Context Poisoning is Killing Your AI Agents: How to Stop it
- Architecting AI Agents: The Shift from Models to Systems | Aishwarya Srinivasan
- Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar
- Got Agents? Agentic Workflows & Architecture | Weaviate, Unstructured & CrewAI
Explainers on this topic
- Context Poisoning: Why Good Models Still Fail
- Prompt vs. Context vs. Memory Engineering
- The 4 Types of AI Agent Memory
Term on this topic
Essay on this topic
Guests on this topic
Jaime DeLangheDan LorencJerry LiuRichmond AlakeMichel TricotAishwarya SrinivasanMikiko ChandrasekharBrian RaymondBob van LuijtJoão Moura