Paperclip is an open-source AI orchestration system designed to coordinate multiple autonomous AI agents as if they were employees in a structured organization. Instead of using individual AI tools in isolation, Paperclip introduces a “company layer” where agents are assigned roles, goals, budgets, and reporting structures to collaboratively execute complex workflows.

The platform is built as a Node.js backend with a React-based dashboard that allows users to define organizational hierarchies, assign tasks, and monitor execution in real time. It supports integration with various AI runtimes and agents, enabling developers to plug in different models and systems as “workers” within the same organizational framework.

Paperclip solves the problem of fragmented AI workflows by introducing governance, memory, and coordination across multiple agents. Each agent operates within a structured system that tracks progress, enforces budget constraints, and logs all decisions in an audit trail. This makes it easier to manage large-scale automated workflows that would otherwise require manual coordination.

The system is designed for developers and builders experimenting with multi-agent systems, autonomous businesses, and AI-driven automation. It is self-hosted and open-source, giving users full control over infrastructure, data, and agent behavior.

Key features include:

• Multi-agent orchestration with organizational hierarchy structures
• Goal, budget, and governance controls for AI agents
• Real-time dashboard for monitoring agent activity
• Integration with multiple AI runtimes and tools
• Immutable audit logs for transparency and debugging

Common use cases include:

• Running autonomous AI workflows
• Coordinating multiple coding or content-generation agents
• Simulating AI-driven companies
• Automating complex business processes
• Experimenting with multi-agent system design

Paperclip is an independent open-source project created by developer contributors under the GitHub organization “paperclipai,” focused on building infrastructure for autonomous AI organizations.