How OpenClaw Memory ACTUALLY Works (4 Memory Layers) скачать в хорошем качестве

How OpenClaw Memory ACTUALLY Works (4 Memory Layers)

I break down how OpenClaw memory actually works under the hood by separating it into four distinct layers: bootstrap files, the session transcript, the context window, and the retrieval index. I explain why agents “forget” after long chats, how compaction summarizes older messages, and why critical rules and instructions should be written to files instead of left in conversation. 🔥 Check out our Community Website: https://boxminingai.com/ 📚 Join our Discord:   / discord   👉🏼 Zeabur Server: https://zeabur.com/ (Save $5 use code: boxmining) 👉🏼 Minimax 10% Off: https://platform.minimax.io/subscribe... 👉🏼 Kimi AI: https://www.kimi.com/kimiplus/sale?ac... 📖 Read more AI News: https://www.boxmining.com/ Chapters: 00:00 OpenClaw Memory Overview 01:09 Bootstrap Files Explained 02:22 Bootstrap Limits and Tips 04:57 Session Transcript and Compaction 07:50 What Compaction Loses 09:29 Context Window Mechanics 11:38 Compaction Trigger Math 12:43 Retrieval Index Search 14:24 Putting It All Together 16:13 Evergreen Memory Files 17:40 Wrap Up and Next Videos