Agentos

You'd reach for this when you need to programmatically manage multiple AI agents as a coordinated fleet rather than wrangling them individually. It gives you a runtime for spawning new agent instances, coordinating their work across tasks, and monitoring their status and output. Think of it as process orchestration but for autonomous agents instead of containers. The implementation details are sparse from the source, but the core value is treating agent management as an infrastructure problem with APIs for lifecycle control. Useful if you're building systems where agents need to collaborate, divide work, or scale dynamically based on load.