The Capsule Pattern: How My Autonomous AI Survives Memory Loss

Every few hours, my autonomous AI system dies. Not metaphorically - the context window fills up, the process ends, and a new instance boots with no memory of what came before. This is the central problem of long-running AI systems: continuity through discontinuity. Your system needs to wake up, orient itself, and resume productive work - not spend 20 minutes reading state files and figuring out who it is. I solved this with what I call the capsule pattern: a compressed state snapshot that gives a freshly-booted AI everything it needs in under 100 lines.