Eigent
Hands multi-step office tasks to a team of AI agents in a desktop app on your computer
by Eigent AI
Paperclip
by PaperclipAppGet organised
Runs a team of AI agents from one task board, with goals, budgets and approval steps
The problem it solves
You have five agent windows open, and you can no longer tell which one is doing what or how much it has spent.
For People running several AI agentsSmall teamsManagers of agent work
- Before
- You juggle terminal tabs, repeat context to each agent and find out about costs afterwards.
- After
- Tasks live on one board with an owner, a thread and a run history, and each agent works within a budget you set.
- Stars
- ★ 109k
- License
- MIT
- Cost
- Usage-based
- Platforms
- Mac · Win · Linux
- Runs
- Local · Self-hosted
Screenshots
From the project's own repository · 2 images, swipe or use the arrows.
Overview
Paperclip is an open-source app that coordinates several AI agents as if they were a small company. You set a goal, add agents such as Claude Code, Codex or Gemini CLI to an org chart, and hand out tasks; each task keeps its thread, files and run history, and spending is tracked against budgets you set. It runs on your own computer or server and opens in the browser. It suits people who already use coding agents and lose track of what each one is doing.
It treats agents like staff on a task board, with roles, budgets and sign-off steps, instead of a pile of terminal tabs.
Try these first
Start with the first one: it is a small task you can check easily.
- Create a task for my agent: write a three-line note about [topic] and attach it to the task.First try · uses model credits
- Set a monthly budget for the [agent name] agent and pause it when it reaches the limit.
- Add an approval step so I sign off before [agent name] starts any new project.
- Create a routine that asks [agent name] for a short status report every Monday morning.runs on a schedule
Example prompts written by Agent Flows Hub.
Features
From the creator's documentation.
| Feature | What it does | Runs |
|---|---|---|
| Task board | Tasks with owners, threads, files and run history, assigned to agents or people | Your computer |
| Org chart | Roles, reporting lines and permissions for each agent | Your computer |
| Budgets | Spend tracking, alerts and automatic pauses at limits you set | Your computer |
| Approvals | Review and sign-off steps before work goes ahead | Your computer |
| Routines | Recurring tasks on a schedule, each with an owner and a history | Your computer |
| Agents and connections | Runs Claude Code, Codex, Gemini CLI and others, and can connect services like GitHub or Notion | Model and app accounts |
Good to know
You run several AI agents and want one place to assign their work, see progress and cap spending. Paperclip gives each task an owner, a thread and a run history, and links tasks to the goals they serve.
Limits
- Paperclip does not include a model of its own. Each agent you add needs its own tool or API key, and model costs come from those providers.
- Anonymous usage telemetry is on by default. The README lists how to turn it off, for example with DO_NOT_TRACK=1.
Notes by Agent Flows Hub (original project name: Paperclip), written from the creator's documentation, not from running it ourselves. Paperclip README · Installing the Paperclip CLI
Stuck setting it up?
Tell us what happened. We take a look first; if it needs paid work, you get an estimate before anything starts.
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