# Paperclip: Multi-Agent Orchestration with Self-Onboarding AI Teams

> Paperclip is a multi-agent framework where a CEO agent auto-creates and coordinates a team of AI agents that self-onboard to your codebase.

Published: 2026-03-22
URL: https://daniliants.com/insights/i-setup-paperclip-using-claude-code-and-initial-impressions-/
Tags: multi-agent, paperclip, ai-orchestration, autonomous-agents, openclaw, local-ai, business-automation

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## Summary

Paperclip is a multi-agent orchestration framework that runs locally and auto-creates a team of AI agents (starting with a CEO agent) that each trigger their own onboarding tasks. Unlike single-agent tools like OpenClaw, Paperclip coordinates multiple agents that understand your codebase and business context, essentially automating manual delegation workflows.

## Key Insight

- Paperclip positions itself as the "next level up" from single-agent tools like OpenClaw -- instead of one agent doing tasks, you get an orchestrated team of agents with distinct roles
- The setup involves forking the Paperclip repo and running it locally, connecting it to your existing GitHub repositories so agents can review and understand your current projects
- Each agent, once created, automatically triggers a familiarisation task on itself -- a self-onboarding pattern where agents bootstrap their own context
- The CEO agent starts first and then builds out the rest of the team, mimicking a top-down org structure
- The key value proposition is compressing time: tasks that would take the founder hours/days of manual delegation and execution happen autonomously in parallel
- Scheduling capability means this can run as a persistent background process, not just on-demand
- Early stage / experimental -- the creator is still in "experimenting" phase, so stability and real output quality are unknown