Over the past decade, software infrastructure has moved decisively toward cloud-native architectures. AI agents followed the same path—cloud-hosted models, remote APIs, centralized orchestration. But as privacy demands grow, infrastructure costs climb, and offline scenarios emerge, a question once considered settled is being re-examined:
Should AI agents always run in the cloud?
The answer is becoming less obvious. Local-first AI systems demonstrate irreplaceable value in healthcare, finance, government, and enterprise compliance scenarios. BoxAgnts chose this path from the very beginning.
The Limitations of Cloud-Centric Agents
Privacy: Many agent workflows need access to source code, internal documentation, databases, and proprietary business processes—sending these to external infrastructure means compliance risks and security concerns.
