Paperclip

Paperclip treats a group of AI agents as an organization rather than a pile of terminals. It is a Node.js server with a React interface where you define a goal, hire agents into roles, and track the work and the spending from a single dashboard that looks like a task manager.

The framing is deliberate. If a coding agent is an employee, this is the company around it. You bring your own agents, from OpenClaw and Claude Code to Codex, Cursor, a bash script or an HTTP endpoint, and anything that can receive a heartbeat can be given a job.

The control plane is built on four pillars plus the money.

• Tasks: approval and review gates, proactive agent coworkers, and verification from diffs, screenshots and tests.
• Org chart: roles, reporting lines, delegation and scoped secrets across a mixed human and agent structure.
• Training: a skill studio, shared skills, evaluations, saved test runs and performance reviews for agents.
• Infrastructure: sandboxing, MCP servers, single sign-on, role-based access and cost controls.
• Budgets: monthly limits per agent, enforced atomically alongside task checkout so there is no double work and no runaway spend.

Agents keep their state between heartbeats instead of restarting cold, tasks carry their full goal ancestry so the reason for a job travels with it, and every conversation and tool call lands in an immutable audit log. One deployment can host several organizations with separate data, and orgs, agents and skills export as templates with secrets scrubbed.