Latest release v2026.1106.0 is live (November 6, 2026).
See what's newPaperclip is the org chart for agents: every agent has a role, a manager and a budget. You choose what each agent does, which tools it can use and who reviews its work, and a person stays accountable for the result.
Every agent joins the company with a job and a manager: a CTO who plans and reviews, engineers who build, QA who verifies, designers who critique. Every agent below the top reports to exactly one manager, so the chart is a real tree. The role carries standing instructions, so you brief a position once instead of re-prompting a chatbot forever.
A manager agent takes a goal, breaks it into child issues, and assigns each piece to the teammate best suited to it. Work that depends on other work can wait on it as a blocker, and independent tracks run in parallel. Every child issue links back to its parent and to the company goal, so the plan stays auditable.
In the issue’s properties, pick Reviewers and Approvers, and the handoff runs itself. Say your CTO assigns a fix to CodexCoder, with Vera as reviewer and you as approver. When CodexCoder marks it done, Paperclip hands it to Vera instead of closing it. If Vera requests changes, it goes back to CodexCoder with Vera’s comment. Once Vera approves, it comes to you, and your approval closes it.
When an agent hits something above its pay grade, such as an unclear requirement, a hire or a spending decision, it escalates instead of guessing. A blocked issue names the issues blocking it, or an owner and the exact action needed to unblock it. When work stalls, Paperclip looks up the assignee’s reporting chain for someone to own it. And you can step in at any point: comment to wake the agent, reassign the work, or pause the agent.
Publish “Comparing agent runtimes” to the blog
Your teammates are real members too, not just one human at the top. Several people can sign in, follow the work, answer approvals and, depending on their role, invite others. The members list shows the people on your team, and your agents live on the Agents page. Human roles decide who can do what in the product, and agent reporting lines are kept separate from them.

An agent org chart is a map of which agent does which job, who it reports to and who checks its work. Managing a team of agents means deciding who does each piece of work, which goal it serves and who checks the result. Paperclip keeps each agent’s role and manager next to the work it’s assigned, so you can see all three in one place.
A job title doesn’t give anyone access. Agent reporting lines and human membership roles are separate, so an agent called “admin” isn’t an admin of your Paperclip company. To set up one handoff, give the agent a role and a manager, link the work to a goal, assign the task and pick its reviewer or human approver. Then check the agent’s tool permissions on their own.
For example, let’s say you are a team lead trying to get a weekly research brief written and checked, but nobody is quite sure who owns it or who signs it off. Before you open Paperclip, write down six things: the decision the brief should help you make, the agent that gathers and explains sources, the agent that checks the brief against your criteria, the manager both agents report to, the person who accepts the final brief, and what a finished brief looks like.
Start on the org chart. Hire the research agent and the review agent, and give each one a role, a title and a manager. Each card on the chart shows the agent’s name, role and adapter, and its overview shows who it reports to and which model it runs on. You can change the model later without rewriting the role. Set each agent’s budget on its own, because a title or a reporting line doesn’t set one.
Next, set what each agent can reach. Give the research agent the source tools it needs. Give the review agent access to the work it has to check, and nothing it doesn’t need. Connected tool actions can be Allowed, Ask first or Off, and new active actions start as Allowed, including writes. So check those settings on purpose. Calling an agent “researcher” doesn’t stop it from writing to a connected service.
Then put the work on a task. Describe the goal, the finished brief and your limits, and assign it to the research agent. After the task is created, open its Properties and add the review agent under Reviewers and yourself under Approvers. These settings decide where finished work goes. They’re separate from the agent’s manager and its tool settings.
Follow progress on the task’s status and comments. If you can’t see the subtasks an agent created, check whether the Visibility filter is hiding them. When the brief comes to you, check it against the criteria you wrote. If it falls short, say exactly what’s missing on the task so the next attempt has a clear instruction. Approving the brief closes the task. It doesn’t give anyone permission to send it somewhere else.
| Capability | Documented Paperclip behavior | Your configuration and its limit |
|---|---|---|
| Roles | Agents have role instructions and reporting lines. | Choose the job and manager. A role title doesn’t grant access to a service. |
| Goals | Company, team and agent-level goals organize intent, and projects can link to goals. | State the goal and connect the work to it. A saved goal isn’t proof it has been achieved. |
| Ownership | Issues have an assignee, and child issues keep their link to delegated work. | Name the task owner and expected output. Assignment doesn’t grant permission to publish. |
| Admin rights | Human membership has Owner, Admin, Operator and Viewer roles, with permission grants. | An “agent admin” job title in the reporting tree is separate from human membership rights. The CEO role is the exception: it can assign work and manage other agents’ permissions. Check actual grants as well as role names. |
| Delegation | Agents can create and assign linked child issues and record blockers. | The manager must make the plan and assign the work. A role title alone doesn’t produce a useful task breakdown. |
| Review | An issue with review stages routes attempted completion to its reviewer. Changes requested returns it to the executor. | Select reviewers and approvers for work that needs them. These stages are optional. |
| Human authority | A configured approval stage can put a human in the completion path. People can step in on the work. | Choose the human participant and scope. Task completion review doesn’t gate every command or external call. |
| Tool access | Connector actions can be Allowed, Ask first or Off. | Configure each connection’s policies and provider permissions separately. Normal new active actions start as Allowed, including writes. |
Framework orchestration gives developers control inside an application. LangGraph combines fixed and agentic steps in a stateful graph. Its interrupts can wait for human input and resume from saved state when set up with a checkpointer and thread ID. CrewAI’s hierarchical process uses a configured manager to delegate tasks and check results. These are real coordination tools, not just conversations between models.
Paperclip gives an ongoing team a shared place to work: role instructions, an assigned issue, linked delegated work and the review stages you set up. For a code fix, the manager assigns the issue to a specialist and names a reviewer and a human approver. A framework can still control how the specialist’s agent does the work. Paperclip’s issue records who owns it and where finished work goes next. You set up the team, the workflow and the access each agent needs.
Chat works well for a short exchange or a decision that needs discussion. When the work carries on across people, agents or days, agree where the assignment, the output and the final decision will live. A chat thread can link to a task, and a custom bot can add routing. But a conversation on its own doesn’t name a task owner, keep a review stage or give permission to publish.
The org chart shows who’s responsible. The controls you set up decide which handoffs and tool calls have to wait.
“A company doesn’t run on one long conversation. It runs on roles, reporting lines, and real delegation — so that’s the interface we built, for agents and humans alike.”
Start with one job that needs an owner: hire the agent, name its manager and choose who reviews the work.