An open-source 'orchestration layer' for managing teams of autonomous AI agents. It provides a dashboard to track token spend, define agent roles (CEO, Engineer, QA), and manage tasks through a structured issue system with persistent agent memory.
Opportunity7.0
Why now
The 'bitter lesson' suggests AI agents will outpace human speed, and there is a current lack of tools for professional agent accountability and budgeting.
Market gap
Fills the void between simple AI chat and unmanaged autonomous loops that often 'fall apart' or overspend without oversight.
Business fit
Type
SaaS / Open Source
Target
Entrepreneurs seeking to run 'zero-human companies' or automate high-volume business tasks.
Revenue
Enterprise SaaS / Managed Cloud Hosting
Founder
Technical founders and developers aiming to automate entire business departments.
Scores
Problem
9.0
Feasibility
8.0
Why now
10.0
Go-to-market
9.0
Confidence
10.0
Proof signals
30,000 GitHub stars in 3 weeks
500+ pull requests from the community
Used by security review firms and roofing companies for automation
Keyword demand
Keyword
Volume
Growth
AI agent orchestrator
480/mo
+175% YoY
zero human company
70/mo
new demand YoY
autonomous agent management
no data
no data
US English Google Ads volume from DataForSEO; growth uses returned monthly search history.
Source episode
Paperclip: Hire AI Agents Like Employees (Live Demo)Episode source
It's an open-source project that's building the orchestration layer for exactly that, hiring a team of AI agents.