paperclip

Orchestrate autonomous AI agent teams with org charts, goals, budgets, and governance.

13|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/amanning3390/hermeshub --skill paperclip-amanning3390
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paperclip
Source: https://github.com/amanning3390/hermeshub/tree/main/skills/paperclip
Command: npx skills add https://github.com/amanning3390/hermeshub --skill paperclip-amanning3390

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Open-source orchestration for zero-human companies. Paperclip acts as the company, coordinating AI agents and governance without human-in-the-loop.

Core Features & Use Cases

  • Orchestrates autonomous AI agent teams using org charts, goals, budgets, and governance
  • Manages heartbeats, delegation, and audit trails across multiple agents like OpenClaw, Claude Code, Codex, and Cursor
  • Enables governance controls, including hires, overrides, and termination of agents

Quick Start

Run npx paperclipai onboard --yes to start.

Frequently Asked Questions about paperclip

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate autonomous AI agents using org charts and budgets?

You can coordinate autonomous AI agents by defining org charts, goals, and budgets within a centralized control plane. This approach manages heartbeat-driven execution, delegation, and audit trails across multiple agents to structure multi-agent governance.

Does multi-agent orchestration work with Claude Code, Codex, and Cursor?

Multi-agent orchestration applies to Claude Code, Codex, Cursor, OpenClaw, and heartbeat-enabled agents. It coordinates these platforms by routing goals, tracking execution, and logging audit trails through a centralized control plane.

What is the best way to govern autonomous AI teams without human oversight?

Governing autonomous AI teams without human oversight requires a centralized control plane providing audit logging, budgeting, and termination controls. It enforces policy through org charts and heartbeat-driven execution for zero-human operations.

Do I need a Node.js server and Postgres to run multi-agent governance?

Multi-agent governance requires a Node.js server, embedded Postgres, and a React-based UI to operate the centralized control plane. These dependencies provide the execution environment for heartbeat-driven agent coordination and audit logging.

How do I start orchestrating AI agent teams for delegated tasks?

You can start orchestrating AI agent teams by running the onboarding command to initialize the control plane. This sets up the environment to define org charts, assign goals, and manage heartbeat-driven execution across your agents.

Can I track agent budgets and audit trails across multiple AI platforms?

Tracking agent budgets and audit trails across multiple platforms is handled by the centralized control plane. It logs execution history and manages resource constraints to maintain governance over delegated autonomous tasks.