Paperclip CLI is a robust command-line interface designed for orchestrating and managing teams of AI agents to automate and run business operations. Currently at version 2026.416.0, the project demonstrates a rapid development and release cadence, with multiple significant updates often occurring within weeks. Its key differentiators include a modern chat-style interface for managing agent issues, flexible multi-stage execution policies, comprehensive features for importing and exporting entire 'agent companies,' and a powerful plugin framework with an accompanying SDK for extensibility. Paperclip CLI integrates seamlessly with a wide array of popular AI models and CLIs, such as Google Gemini, Cursor, OpenCode, Pi, Claude Code, and Codex, providing a unified platform for deploying and overseeing diverse AI-driven workflows.
npm install paperclipaiVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to initialize a new AI agent company, add a 'ContentCreator' agent utilizing the 'gemini-pro' model, assign it a task (creating a blog post), and then launch the Paperclip dashboard to monitor its progress and interactions.
Consult the Paperclip documentation for the specific AI model you are using to ensure proper API key setup. Typically, this involves setting environment variables like `GEMINI_API_KEY` or using Paperclip's `config` command.
Review and update any automation that reads from or writes to issue comments. The new interaction paradigm may require different parsing or interaction methods if you were previously scraping or injecting directly into the comment timeline.
Set up budget alerts with your AI model providers. Actively monitor agent activity and optimize prompts to reduce token consumption. Utilize local adapters and sandbox modes when available to minimize production costs during development and testing.
Before major deployments or significant feature utilization, it is recommended to review the latest GitHub release notes. Consider testing in a staging environment to catch any unexpected changes or new requirements. Use `npx paperclipai --version` to confirm your installed version.
Upgrade your Node.js installation to version 20 or higher. Using a version manager like `nvm` is recommended (e.g., `nvm install 20 && nvm use 20`).
Ensure the correct API key is set for the specific AI model. This often involves setting an environment variable (e.g., `export GEMINI_API_KEY='your_key_here'`) or configuring it via `paperclipai config` or the web dashboard.
Verify the exact model name with `npx paperclipai help agent add`. Ensure any necessary local AI CLIs (e.g., Google Gemini CLI for its adapter) are installed and properly set up on your system as per Paperclip's integration guide.
No dependency data recorded yet.