# memory

Vaibhav Srivastav's Codex prompt is interesting because it describes an agent maintenance loop: look back at recent work, find repeated workflows, and package only high-confidence patterns into Skills, automations, or subagents. It is agent dreaming: turning busy work into capability.

A context window is a model's day: how many lessons, messages, tool results, and task events Ryland can experience before sleep, compression, or collapse.

Andrew Ng partners with Oracle on a new course teaching you how to build persistent cross-session memory systems for AI Agents, solving the frustrating problem of agents 'forgetting everything' after each conversation.

Claude Code shipped Auto-Memory — AI can finally take its own notes. But we've been doing this with OpenClaw for months. A hands-on comparison of two memory architectures: design philosophy, real pitfalls, and why memory is a trust problem, not just a tech one.

How OpenClaw remembers things, learns new skills, and runs tasks on autopilot. From Embeddings to Cron Jobs — explained for Python developers.