AI Agents & Applications · advanced · concept 164 of 176
Agent Memory, Planning & Reflection
What separates an agent from a chatbot: somewhere to keep state beyond the context window, a way to break goals into steps, and the habit of checking its own work. Memory stores and retrieval, plan-then-execute loops, and reflection passes are the current toolkit, all still far from solved.
Key terms
Long-term memoryTask decompositionReflectionScratchpadContext management
Learn these first
Where you meet it in the real world
Coding agents that survive long tasks, personal assistants that remember you, research agents
Videos
▶ The Four Types of Memory Every AI Agent Needs ↗
IBM Technology · YouTube
▶ What AI Agent Skills Are and How They Work ↗
IBM Technology · YouTube
Guides and articles
LLM Powered Autonomous Agents | Lil'Log ↗
Lil'Log (OpenAI researcher)