Paperclip — Manage AI Agents Like a Company (Full Deep Dive)

As AI agent usage increases, developers face 'context chaos'—disjointed terminal sessions that don't communicate and lack shared memory or cost controls. Paperclip addresses this by acting as a 'company' structure for these agents, offering an orchestration layer that enforces goal alignment, budget caps, and persistent state across agent operations. The platform is built on four core pillars: an agentic task manager, an organizational chart for agent hierarchy, shared agent training modules, and an infrastructure-level OS that manages secrets, access, and logging. By providing a unified control plane, Paperclip allows users to delegate tasks, set hard spending limits, and maintain a detailed, durable audit trail of every decision and tool call. It is designed to be compatible with any agent runtime, treating them like employees who report to a central system rather than isolated processes.