What Your AI Agent Won't Tell You — Because It Forgot

AI agents repeatedly lose short-term context across sessions and restarts, making external memory a core requirement.

The article uses Synapse to show how an agent can rebuild its state, priorities, and identity after forgetting.

Its main lesson is that memory is not just fact storage; it is state management that relies on summarization and bootstrapping.

Reliable agents must be designed around context-window limits, with memory systems that preserve continuity and intent.