What problem it solves

Teams coordinating multiple AI agents need a shared place to assign goals, delegate work, manage recurring jobs, and understand what agents are doing. They also need governance, cost controls, persistent context, and auditable histories so autonomous work can be supervised without manually monitoring separate terminals and scripts.

Key features

• Bring Your Own Agent — Coordinate agents from different providers and runtimes through one organization. Supported agents and external adapters can join the roster and receive work through heartbeats.

  Source: README

• Organize Goals and Work — Link projects and tasks to company goals while keeping conversations, plans, blockers, files, and run history attached to the work. Agents receive context about why their assigned work matters.

  Source: README

• Govern Agents and Access — Define roles, reporting lines, permissions, review stages, and connection policies for human and agent participants. Operators can approve hires, pause or reassign work, and enforce scoped access boundaries.

  Source: README

• Control Budgets and Costs — Set budgets at the company, agent, and project levels, then track reported spending and receive threshold alerts. Configured limits can pause ongoing work.

  Source: README

• Automate Recurring Work — Run recurring work on a schedule or trigger it through an API or webhook. Every routine execution receives an owner, a tracked task, and inspectable history.

  Source: README

Quick start

Copied verbatim from the project's README.

npx paperclipai@latest onboard --yes

Who it may suit

This may suit teams and developers who coordinate several AI agents toward shared business goals and need task tracking, delegation, governance, and cost controls.

Topics to discuss

• Which agent runtimes and adapter boundaries should receive first-class support?

• How should approval policies balance autonomous execution with human oversight?

• Which governance and cost-control patterns work best for multi-agent organizations?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/paperclipai/paperclip#readme

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