Paperclip
Paperclip is an open-source, self-hosted control plane for managing AI agents as work teams, with org charts, goals, tickets, budgets, governance, approvals, heartbeats, and audit logs.
Overview
Paperclip helps users move from prompting individual agents to managing teams of agents, giving each agent a role, mission context, budget, task queue, reporting line, schedule, and governance boundary.
Core Features & Capabilities
Ideal for founders, operators, AI agent builders, autonomous business builders, developer teams, AI operations teams, growth teams, content teams, marketing teams, QA teams, research teams, engineering managers, self-hosters, AI workflow designers, and organizations experimenting with coordinated agent teams rather than single-agent automation.
- Define a business mission, project goals, agent goals, and task context so every agent understands what it is working toward
- Organize Claude, Codex, Gemini, Cursor, OpenClaw, OpenCode, scripts, webhooks, and custom agents into a governed org chart
- Assign work through tickets with owners, statuses, conversation history, tool-call traces, and immutable audit logs
- Control spending with monthly budgets per agent, warnings, auto-pauses, and override options
- Use governance controls to approve hires, approve strategies, pause agents, reassign tasks, terminate agents, and keep autonomy explicit
Trending Use Cases
Why Agent Builders Watch Paperclip
Visit the Paperclip website, docs, or GitHub repository to review installation, architecture, adapters, governance, extensions, and API references. Developers can start with npx paperclipai onboard --yes, complete the interactive setup, configure database and auth, create a first company or project, define goals, add agents, set budgets, and connect existing runtimes such as Claude, Codex, Gemini, Cursor, OpenClaw, OpenCode, Python scripts, shell commands, or HTTP webhooks. Teams should review governance, audit logging, budget controls, deployment security, and data isolation before using Paperclip for real operational work.
“Paperclip turns AI agents into a managed workforce, giving users the org chart, goals, budgets, tickets, governance, and accountability needed to coordinate real work.”
Getting Started with Paperclip
By combining self-hosted deployment, org-chart-based agent teams, mission and goal alignment, ticketed work, scheduled heartbeats, cost controls, governance approvals, audit logs, extensions, and model-agnostic bring-your-own-agent support, Paperclip gives users a practical control plane for running coordinated AI agent teams at work.
Open the tool and review its core product experience.
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Use your own task to judge speed, quality, and fit.
Check similar AI tools before making a final decision.
Paperclip
Paperclip Labs, Inc. is the creator of Paperclip, an open-source self-hosted AI agent management platform focused on agent teams, org charts, goals, tickets, budgets, heartbeats, governance, audit logs, extensions, and bring-your-own-agent orchestration.
Paperclip is an open-source AI agent management platform designed to help people organize, govern, and run teams of AI agents for work. Instead of treating agents as isolated tools, Paperclip models them like an organization with roles, reporting lines, goals, budgets, tasks, tickets, approvals, and accountability. Users can define a mission, hire agents into roles such as CEO, CTO, engineers, designers, marketers, QA, research, outreach, or operations, then approve strategy, set budgets, monitor execution, and trace every conversation, tool call, and decision. Paperclip is self-hosted, MIT licensed, model-agnostic, and works with bring-your-own agents including Claude, Codex, Gemini, Cursor, OpenClaw, OpenCode, Python scripts, shell commands, HTTP webhooks, and other runtimes that can receive heartbeat signals.
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