Home / Applied AI / 01. AI Engineering / 11. Long Term Memory State Long Term Memory State¶ The chapters in this module, in reading order. # Chapter 00 Memory Systems for AI Agents — The Five-Year-Old Version 01 Why Memory Matters — Continuity beats cleverness 02 Context Window Management — Your desk is finite 03 Conversation History — Windows, buffers, and rolling memory 04 Memory Compression — Shrink without losing the point 05 Long-Term Vector Memory — Search the cabinet by meaning 06 Episodic Memory — Remember the event, not just the fact 07 Semantic Memory — Extract the stable truths 08 User Profile Stores — Memory with identity and permissions 09 Memory Retrieval Patterns — Ask the cabinet at the right time 10 Forgetting Strategies — Memory needs a shredder too 11 Shared Memory in Multi-Agent Systems — Many minds, one notebook 12 Memory Evaluation — Measure recall, not vibes 13 Honest Admission — We still do not know memory cleanly