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Open-source multi-agent orchestrator

Paperclip

Run a team of AI agents like a company

Paperclip is the open-source orchestrator for teams of AI agents — org charts, budgets and governance — with a built-in document-extraction engine. “If OpenClaw is the employee, Paperclip is the company.” We deploy and manage it on your Blue Net Box server.

Paperclip
@paperclip · orchestrator
Company
5 agents · PM · 2× Engineer · QA · Marketing
Task
Ship billing v2.3 → split into 8 atomic tasks
Budget
$12.40 of $50 cap used · on track
What is Paperclip?

Paperclip is an open-source multi-agent orchestrator that launched in March 2026. Rather than being a single assistant, it coordinates a team of agents as a virtual company — with org charts, budget enforcement, atomic task execution and a visual dashboard — and includes a document-extraction engine for grounding work in your files.

Capabilities

Coordinate a whole team of AI agents — without losing the plot.

Orchestrate a team of agents
Define an org chart of specialised agents — product, engineering, QA, marketing — that work in parallel toward shared goals, with clear roles and inter-agent handoffs.
Budgets & governance
Set hard per-agent spending caps and governance rules so a fleet of agents can’t run away with your token costs. Everything stays predictable and auditable.
Atomic task execution
Large goals are decomposed into atomic tasks that are dispatched, executed in parallel and handed between agents — then synthesised back into a result.
Document intelligence
A built-in extraction engine ingests PDF, DOCX, XLSX, CSV and images and returns structured data — table-to-JSON, form fields and OCR — to ground agent work in your files.
Visual dashboard
A React dashboard lets you monitor agent activity, task progress and spending across the whole organisation in one place.
Plugs into other agents
Lightweight to deploy, and via the official adapter it can run Hermes as a managed worker inside a Paperclip company — orchestrating the agents you already use.
Built to coordinate

Orchestrates the agents and documents you already work with.

Worker agents
Hermes adapter
PDF / DOCX / XLSX
OCR & images
React dashboard
Your LLM keys
Managed by Blue Net Box

Paperclip, deployed and managed on your Blue Net Box server.

1
Pick your server
Choose a Blue Net Box VPS or cloud plan sized for the agent — billed in AED.
2
One-click deploy
We install, configure, secure and update the agent for you. It runs on your own server, fully managed.
3
Connect & go
Add your model keys and channels (or your other agents) and start working. We monitor it and you keep full control of your data.
FAQ
Questions,
answered.

Paperclip orchestrates a team of AI agents like a company. Here is what people ask before running it.

Talk to the team →
What is Paperclip?
Paperclip is an open-source multi-agent orchestrator. Instead of a single assistant, it runs and coordinates a team of AI agents like a company — with org charts, budgets and governance — and includes a document-extraction engine. The common framing is: if OpenClaw is the employee, Paperclip is the company.
When would I use Paperclip instead of a single agent?
When one agent isn’t enough — when you want several specialised agents working in parallel on different parts of a project with clear roles, handoffs and a shared goal. For a single workflow, a single agent like Hermes or OpenClaw is usually the right tool.
How does Paperclip control costs?
Paperclip enforces hard per-agent budgets and surfaces spending on a dashboard, so a fleet of agents stays within predictable, auditable limits.
Can Paperclip read my documents?
Yes. Its extraction engine ingests PDF, DOCX, XLSX, CSV and image files and returns structured data — table-to-JSON, form fields and OCR — which agents can act on.
Does Paperclip work with the other AI agents?
Yes. Paperclip is designed to orchestrate worker agents, and an official adapter lets it run Hermes as a managed employee inside a Paperclip company.
How much does Paperclip cost?
Paperclip is open source and free to run. On Blue Net Box you pay for the hosting it runs on plus your own LLM usage; budget controls help keep those model costs in check.