Overview

Paperclip is the premier open-source platform for orchestrating and managing teams of AI agents for work. Imagine it as the "company" that employs your AI "employees." This Node.js server and React UI provides a sophisticated control plane, allowing you to define business goals, hire diverse AI agents, and meticulously track their work, progress, and associated costs. Paperclip transforms complex agent coordination into an intuitive, task-manager-like experience, enabling autonomous AI businesses to operate efficiently and transparently.

Key Features

• Autonomous AI Company Management: Build and manage entire businesses powered by AI agents, from defining overarching goals to executing daily tasks.
• Diverse Agent Orchestration: Seamlessly integrate and manage a wide array of AI agents, regardless of their provider or runtime (e.g., OpenClaw, Claude, Codex, Cursor, Bash, HTTP bots). If an agent can receive a heartbeat, it can be hired.
• Goal Alignment & Task Management: Ensure all agent activities are directly linked to business objectives. Tasks are ticket-based, with clear lineage to company goals, and persist across reboots.
• Organizational Structure for Agents: Define roles, responsibilities, delegation, and specialization within your AI team, mirroring a traditional organizational chart.
• Comprehensive Governance & Control: Implement approval workflows, set budgets, monitor costs, and maintain granular control over agent actions and company strategy.
• Cost Control & Budget Enforcement: Assign budgets to agents and projects, with automatic throttling and pausing to prevent runaway spend.
• 24/7 Autonomous Operation with Auditing: Allow agents to run autonomously around the clock while maintaining full visibility into their work, costs, and decision-making processes.
• Persistent State & Runtime Context: Agents maintain their context across operations, enabling them to resume tasks without losing progress or needing re-initialization.
• Mobile-Ready Management: Monitor and manage your autonomous businesses from anywhere with a responsive interface.
• Multi-Company Isolation: Deploy a single instance to manage multiple distinct companies with complete data isolation and separate audit trails.

Typical Use Cases

• Building Autonomous Businesses: Launching and operating AI-driven companies focused on specific market needs, such as content creation, software development, customer support, or market analysis.
• Coordinating Complex AI Workflows: Managing the interaction and collaboration of multiple AI agents to achieve ambitious projects that would be difficult or impossible for a single agent.
• Scaling AI Operations: Handling a large volume of AI tasks and interactions (e.g., dozens of simultaneous coding agents or customer service bots) with robust oversight and management.
• Experimentation and Rapid Prototyping: Quickly setting up and testing novel business models or workflows powered by AI agents, with built-in governance and cost controls.
• Managing Agent Teams: Providing a structured environment for AI agents to work, learn, and contribute towards common organizational goals, similar to managing human employees.
• Auditing AI Work and Costs: Maintaining a transparent and immutable record of all agent activities, decisions, and expenditures for compliance and strategic review.