Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa

Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa

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Descriptions:

Paperclip creator Doda Bippa walks through the open-source agent orchestration platform in this AI Engineer presentation, demonstrating how it enables teams to build and manage hierarchical AI agent organizations. The tool — which recently crossed 40,000 GitHub stars — lets users define org-chart-style structures complete with CEO, CTO, and individual contributor agent roles, where each role can be filled by agents from different providers: Claude, Codex, Gemini, or others. A key design principle is vendor neutrality, giving teams a unified harness that abstracts away incompatible hook systems across labs.

The demo walks through Paperclip’s core workflow: assigning issues to a CEO agent that delegates tasks down the chain, installing capabilities via skills.sh, configuring QA review and manager approval steps between agents, and creating reusable routines that run on a schedule or on demand with template variables. Bippa shows a live production example — the actual Paperclip project instance — where a video writer agent used Remotion (an open-source React-based video framework) to produce a 40,000-star celebration video from a single high-level prompt, and explains how Greptile is integrated for automated first-pass code review on community pull requests.

Installation requires only `npx paperclip-ai onboard`. The platform positions itself as a human control plane for AI labor rather than a fully autonomous system — users remain in the loop at the goal-setting and approval layers while agents handle execution, making it relevant for teams exploring structured, accountable multi-agent deployments.


📺 Source: AI Engineer · Published April 15, 2026
🏷️ Format: Tutorial Demo

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