Building Persistent AI Agents: A Dev's Guide to State Management and Long-Running Workflows
The Problem with Stateless Agents Most AI agents we build today are essentially fancy request-response systems. User asks, agent responds, context dies. Rinse and repeat. But what happens when you need an agent that can start a workflow on Monday, wait for external approval on Wednesday, and resume execution on Friday — all while maintaining perfect context? That's the shift from chatbots to persistent agents. And it changes everything about how we architect AI systems. What Makes a...
Original Source
Read the full article at Dev →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.