@justloveabit: With This Open-Source Tool, I Got a Team of AIs to Work for Me. Here's the deal: I've been tinkering with various AI agents lately. Multiple Claude Code windows open, Codex running, occasionally using Cursor. The result? Total chaos—I had no idea what each agent was doing or how much it was costing. Restar…

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Summary

This article introduces Paperclip, an open-source tool designed to centrally manage and orchestrate multiple AI agents. By simulating a corporate organizational structure, task assignment, and budget control, it addresses key pain points in multi-agent collaboration, such as lost context, unpredictable costs, and chaotic scheduling.

With this open-source tool, I got a whole team of AIs to work for me. Here's the deal: I've been tinkering with all sorts of AI agents lately. I had a bunch of Claude Code windows open, Codex running in the background, and occasionally used Cursor. The result? Total chaos—I had no clue what each agent was doing or how much money was being spent. After a reboot, it was even worse: all context was completely lost. Then I stumbled upon Paperclip, an open-source project with 64.5k stars on GitHub. How should I put it? It's not an AI agent itself, but rather a "company" that manages a fleet of AI agents. It works like a virtual corporation. You can assign roles to different AIs—CEO, CTO, Engineer, Designer, Marketing Specialist—then set goals, allocate budgets, and map out an org chart. You can plug in Claude Code, OpenClaw, Codex, Cursor, you name it. As long as it can receive heartbeats, it's hired. So what does it actually do? Think of it this way: I used to babysit every single AI manually. Now, Paperclip acts more like a board of directors. I can pull up a dashboard on my phone to check today's progress, see how much each agent has spent, and decide if anything needs my approval. Everything runs on a heartbeat mechanism—agents wake up on schedule, check their tasks, do the work, and go back to sleep. Team leads assign tasks, members execute them. It's exactly like a real company. The problems Paperclip solves are very practical: - No more juggling 20 Claude Code windows - Context is automatically preserved; agents know what they're doing and why - No need to write custom scripts for task scheduling or inter-agent communication - Strict budget controls so costs don't spiral out of control - Scheduled tasks trigger automatically, no manual clicking required The official website puts it bluntly: if you only run one agent, you probably don't need it. But if you're like me, juggling multiple AIs and constantly losing track of who's doing what, Paperclip is a lifesaver. My current setup: CEO (Claude Code): Breaks down objectives CTO (Codex): Manages technical architecture Two Engineers (Cursor + OpenClaw): Write code Plus a Marketing Specialist (custom HTTP bot): Posts tweets. It's been running fully automatically for a week. Aside from occasionally approving budgets, I barely have to touch it. If you're also tinkering with AI agents, head over to GitHub and search for paperclipai/paperclip. Give your AIs a job. #AIagent
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