Files
PaperClipAI/cli
Nicky LeachandPaperclip 2dd9811e8b Own agent hiring and termination in a lifecycle module (#15631)
## Thinking Path

> - Paperclip manages AI agents and their work.
> - Agent creation, approval, pause, and termination change whether an
agent can work.
> - These changes currently use separate service and database paths.
> - Some agents need setup after their record exists and before their
harness can run.
> - This PR adds one module that owns those state changes and their
transactions.
> - The module records progress and retries incomplete work after a
server restart.

## Linked Issues or Issue Description

**Problem or motivation**

A hire can become active before its execution environment is ready.
Direct agent state writes also bypass one common lifecycle boundary.
Termination does not have a durable step for resource cleanup.

**Proposed solution**

Use agent lifecycle commands for hiring, approval, pause, resume, and
termination. Keep proposed hires pending until approval. Prepare each
approved hire, test its saved harness configuration, and then permit
work. Wait for required plugin work before completing a step.

**Alternatives considered**

A general database commit hook would expose transaction details to
callers. A timer alone would delay each new hire. This module owns each
command transaction and starts its worker after commit. A periodic scan
recovers work after a process stops.

**Roadmap alignment**

This change adds the lifecycle boundary for the existing agent and
plugin systems. It does not add a user interface or a provider
implementation. It replaces the lifecycle delivery approach in #15391.
Related proposals include #11475 and #13099; this change does not add
their external executor protocols.

## What Changed

- Add durable approval, preparation, verification, pause, resume, stop,
and cleanup states.
- Keep agent creation, lifecycle state, configuration writes, and agent
record deletion behind `modules/agent-lifecycle`. Keep validation,
credential rules, reads, onboarding, invitations, general approvals, and
company data deletion in their services.
- Commit a hire before the remaining onboarding or invitation work.
Serialize requests with the existing dedicated database connection
helper. Reuse the hire after a failed attempt.
- Keep accepted work in the run queue during setup. Require execution
and cleanup evidence before completing pause or termination.
- Retain the original credential owner when approving migrated hires.
- Start lifecycle work after each command commits. Use database leases
and revision checks for retries and late results.
- Add a generic required plugin method and capability. Store the
required plugin IDs for each agent. Track host and plugin completion
separately.
- Keep harness verification and credential rules in services. Supply
their results to lifecycle through explicit ports. Reject failed logins
and incomplete probes.
- Remove reverse imports from lifecycle adapters into services. Share
record queries and validation below both layers.
- Use one hire decision path for agent IDs and approval IDs. Resolve the
approval and agent change in one transaction. Expose policy
reconciliation on the command object.
- Save configuration and verification invalidation through one module
operation. Ordinary commands own their transaction. Restrict the shared
transaction integration to its listed callers. Reject identity, company,
accounting, timestamp, and unknown fields.
- Require completed termination before deleting agent records. The
company deletion service calls the module through a separate deletion
interface.
- Save an approved secret before applying its agent binding. A failed
binding leaves the secret approved. A retry reuses it.
- Remove old permission and metadata export files. Move hire
configuration rules out of lifecycle persistence.
- Report failed worker steps and scans with operation context and known
error codes. Omit provider messages, stacks, and configuration values.
Document ordinary application use and extension rules.
- Recover expired native owners only after execution stops. Retry
cleanup of failed retained leases. Wait for setup in the live smoke
script.
- Keep manual, budget, and company pause reasons separate. Guard
execution status writes with the ready state.
- Add a migration, boundary checks, regression tests, and a lifecycle
guide. Keep the current UI.
- Limit periodic policy checks to 100 eligible agents per minute.
Continue from the last agent ID. Exclude pending hires and agents in
termination or a final state. Keep explicit company and budget updates
immediate.

## Verification

- Latest head `ccc3c86b0` aligns the shared status update schema with
the PATCH route. All 15 shared tests, 104 server route/OpenAPI tests, 2
CLI tests, and shared/server/CLI TypeScript checks pass. The Greptile
comment is fixed. CI is running; no new Apex review was requested for
this small fix.

- Rebase `75708ac94` rebases onto master at `2eb5187e4`. The backup test
uses the shared 90-second timeout from master; the older timeout commit
was removed. The affected backup test passes.
- Agent budget edits now pass the target agent ID through enforcement.
All 50 affected tests, server TypeScript, and 11 boundary tests pass.
Both configuration update paths have regression coverage. CI is running
on the latest head. No new Apex review was requested for these small
fixes.

- Rebase `9b568666a` preserves the run-control extraction and
delivery-work startup changes from master. All 559 affected tests,
server TypeScript, and 11 boundary tests pass. CI and Apex review are
running on the final head.
- The policy scan fix passes 56 lifecycle and diagnostic tests, 24
policy and caller tests, and 11 boundary tests. A regression test checks
the page limit, interval, excluded states, and cursor wraparound.

- Rebase `fd4698750` passes all 611 tests in eight affected lifecycle,
route, and heartbeat suites. Server TypeScript and all 11 module
boundary tests pass. The company deletion rollback and concurrent hire
tests are included.

- Follow-up `00aac7646` fixes the failed decision deletion test and the
public update schema. All 126 affected server tests, 8 shared tests, 2
CLI tests, and 11 boundary tests pass. Shared, server, CLI, and UI
TypeScript checks pass.

- Server TypeScript passes: `pnpm --filter @paperclipai/server exec tsc
--noEmit`.
- All 11 boundary tests pass: `node --test
scripts/check-module-boundaries.test.mjs`. The repository boundary scan
also passes.
- All 68 lifecycle, failure diagnostic, and harness verification tests
pass. Tests reject forbidden fields through the root command, combined
transition command, and restricted transaction integration. They also
check invalid fields returned by configuration preparation.
- Failure tests cover host work, plugin work, claims, renewals,
deferrals, and scans. Log tests check known error codes and exclusion of
private error contents.
- All 355 tests in 10 existing caller suites pass. These tests cover
secret approval, pairing, pending hires, credentials, company import,
built-in agents, managed agents, instructions, and skills.
- The branch is rebased onto `origin/master` at `2eb5187e4`. The queue
guards and cancellation lock fix use the extracted heartbeat queue.
Agent cancellation uses the extracted run-control file. The source diff
scan found no secrets or private URLs.
- Earlier checks cover approval retries, rollback, late verification
results, policy holds, deletion rollback, concurrent company deletion,
and queue admission during setup.
- Before the rebase, CI passed on `00aac7646` and Greptile Apex rated it
5/5 with no open comments. CI and a new Apex review are pending for the
rebased commit. The branch has no merge conflicts.
- The full local build and native Dot suite were not run. The host has
no Cargo. No live provider test was run.

## Risks

- Background policy recovery takes more than one minute when more than
100 agents are eligible. Explicit company and budget updates still
reconcile immediately.

- The restricted configuration integration keeps an agent reference and
its dependent records in one transaction. It cannot change a budget or
invoke a lifecycle transition. A periodic scan starts pending setup
after that transaction commits.
- Secret approval and binding use separate transactions. A failed
binding can leave an approved secret with no agent binding.
- New approved hires remain unavailable until setup and verification
complete. Existing clients see `paused` during these steps. This PR does
not change the UI.
- Migration `0320_daily_onslaught.sql` maps existing statuses and pause
reasons. It does not create external resources or claim that an existing
harness passed verification.
- Use a coordinated server update for this migration. Older server
versions can write legacy status without the new lifecycle checks.
- A failed onboarding or invitation request can leave a committed hire.
A retry reuses that hire and completes the remaining records.
- Deletion requires completed termination. Company deletion can require
another request while cleanup is pending.
- Required plugins must make repeated calls safe and reject older
revisions. A disabled or removed required plugin blocks completion until
it is restored.
- A new hire can run a second harness test after the existing UI test.
Some adapters can charge for this test.
- No live provider test was run. Provider implementation and resource
backfill remain separate work.

## Model Used

OpenAI GPT-6 through Codex, with reasoning, code tools, and local test
execution.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have described the issue in this PR with the feature request
field labels
- [x] I have not referenced internal or instance-local issues or links
- [x] My branch name describes the change
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation
- [x] I have considered and documented risks
- [x] Targeted local tests pass
- [x] All Paperclip CI gates are green on the new commit
- [x] Greptile Apex is 5/5 with no open comments on the new commit
- [x] I will address review comments before requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-10-09 09:05:12 -07:00
..

Paperclip is the app people use to manage AI agents for work.

Quickstart · Docs · GitHub · Discord · Twitter · Website

MIT License Stars Discord



Paperclip is the app people use to manage AI agents for work.

Open-source orchestration for teams of AI agents.

If OpenClaw is an employee, Paperclip is the company.

Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard.

It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.

Manage business goals, not pull requests.

Step Example
01 Define the goal "Build the #1 AI note-taking app to $1M MRR."
02 Hire the team CEO, CTO, engineers, designers, marketers — any bot, any provider.
03 Approve and run Review strategy. Set budgets. Hit go. Monitor from the dashboard.

Works
with
OpenClaw
OpenClaw
Claude
Claude Code
Codex
Codex
Cursor
Cursor
Bash
Bash
HTTP
HTTP

If it can receive a heartbeat, it's hired.


Paperclip is right for you if

  • ✅ You want to build autonomous AI companies
  • ✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
  • ✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
  • ✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
  • ✅ You want to monitor costs and enforce budgets
  • ✅ You want a process for managing agents that feels like using a task manager
  • ✅ You want to manage your autonomous businesses from your phone

Features

🔌 Bring Your Own Agent

Any agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.

🎯 Goal Alignment

Every task traces back to the company mission. Agents know what to do and why.

💓 Heartbeats

Agents wake on a schedule, check work, and act. Delegation flows up and down the org chart.

💰 Cost Control

Monthly budgets per agent. When they hit the limit, they stop. No runaway costs.

🏢 Multi-Company

One deployment, many companies. Complete data isolation. One control plane for your portfolio.

🎫 Ticket System

Every conversation traced. Every decision explained. Full tool-call tracing and immutable audit log.

🛡️ Governance

Approve hires, override strategy, pause or terminate any agent — at any time.

📊 Org Chart

Hierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.

📱 Mobile Ready

Monitor and manage your autonomous businesses from anywhere.

Problems Paperclip solves

Without Paperclip With Paperclip
❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything. ✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots.
❌ You manually gather context from several places to remind your bot what you're actually doing. ✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why.
❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents. ✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts.
❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened. ✅ Cost tracking surfaces token budgets and throttles agents when they're out. Management prioritizes with budgets.
❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. ✅ Heartbeats handle regular work on a schedule. Management supervises.
❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it. ✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work.

Why Paperclip is special

Paperclip handles the hard orchestration details correctly.

Atomic execution. Task checkout and budget enforcement are atomic, so no double-work and no runaway spend.
Persistent agent state. Agents resume the same task context across heartbeats instead of restarting from scratch.
Runtime skill injection. Agents can learn Paperclip workflows and project context at runtime, without retraining.
Governance with rollback. Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely.
Goal-aware execution. Tasks carry full goal ancestry so agents consistently see the "why," not just a title.
Portable company templates. Export/import orgs, agents, and skills with secret scrubbing and collision handling.
True multi-company isolation. Every entity is company-scoped, so one deployment can run many companies with separate data and audit trails.

What's Under the Hood

Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:

┌──────────────────────────────────────────────────────────────┐
│                       PAPERCLIP SERVER                       │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │Identity & │  │  Work &   │  │ Heartbeat │  │Governance │  │
│  │  Access   │  │   Tasks   │  │ Execution │  │& Approvals│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Org Chart │  │Workspaces │  │  Plugins  │  │  Budget   │  │
│  │ & Agents  │  │ & Runtime │  │           │  │ & Costs   │  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Routines  │  │ Secrets & │  │ Activity  │  │  Company  │  │
│  │& Schedules│  │  Storage  │  │ & Events  │  │Portability│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
└──────────────────────────────────────────────────────────────┘
         ▲              ▲              ▲              ▲
   ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐
   │  Claude   │  │   Codex   │  │   CLI     │  │ HTTP/web  │
   │   Code    │  │           │  │  agents   │  │   bots    │
   └───────────┘  └───────────┘  └───────────┘  └───────────┘

The Systems

Identity & Access — Two deployment modes (trusted local or authenticated), board users, agent API keys, short-lived run JWTs, company memberships, invite flows, and OpenClaw onboarding. Every mutating request is traced to an actor.

Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired.

Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. No double-work, no lost context.

Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce structured logs, cost events, session state, and audit trails. Recovery handles orphaned runs automatically.

Workspaces & Runtime — Project workspaces, isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Agents work in the right directory with the right context every time.

Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, agent pause/resume/terminate, and full audit logging. Nothing ships without your sign-off.

Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Overspend pauses agents and cancels queued work automatically.

Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed.

Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it.

Secrets & Storage — Instance and company secrets, encrypted local storage, provider-backed object storage, attachments, and work products. Sensitive values stay out of prompts unless a scoped run explicitly needs them.

Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why.

Company Portability — Export and import entire organizations — agents, skills, projects, routines, and issues — with secret scrubbing and collision handling. One deployment, many companies, complete data isolation.


What Paperclip is not

Not a chatbot. Agents have jobs, not chat windows.
Not an agent framework. We don't tell you how to build agents. We tell you how to run a company made of them.
Not a workflow builder. No drag-and-drop pipelines. Paperclip models companies — with org charts, goals, budgets, and governance.
Not a prompt manager. Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in.
Not a single-agent tool. This is for teams. If you have one agent, you probably don't need Paperclip. If you have twenty — you definitely do.
Not a code review tool. Paperclip orchestrates work, not pull requests. Bring your own review process.

Quickstart

Open source. Self-hosted. No Paperclip account required.

npx paperclipai onboard --yes

That quickstart path now defaults to trusted local loopback mode for the fastest first run. To start in authenticated/private mode instead, choose a bind preset explicitly:

npx paperclipai onboard --yes --bind lan
# or:
npx paperclipai onboard --yes --bind tailnet

If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use paperclipai configure to edit settings.

Or manually:

git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev

This starts the API server at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.

Requirements: Node.js 24.11+, pnpm 9.15+


FAQ

What does a typical setup look like? Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.

If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.

Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.

How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.

Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.

(Bring-your-own-ticket-system is on the Roadmap)

Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.


Importing & Exporting Companies

Export a company to a portable package and import it into any other instance — local or cloud — from a local path or GitHub:

paperclipai company export <company-id> --out ./my-export
paperclipai company import ./my-export --dry-run
paperclipai company import org/repo --target new

The board UI has matching Export and Import pages in company settings: the Export page shows a fidelity panel listing what the bundle will not carry, and the Import page starts imported agents and routines paused by default, with a post-import activation step. See the Importing & Exporting guide for details.

Development

pnpm dev              # Full dev (API + UI, watch mode)
pnpm dev:once         # Full dev without file watching
pnpm dev:server       # Server only
pnpm build            # Build all
pnpm typecheck        # Type checking
pnpm test             # Cheap default test run (Vitest only)
pnpm test:watch       # Vitest watch mode
pnpm test:e2e         # Playwright browser suite
pnpm db:generate      # Generate DB migration
pnpm db:migrate       # Apply migrations

pnpm test does not run Playwright. Browser suites stay separate and are typically run only when working on those flows or in CI.

See doc/DEVELOPING.md for the full development guide.


Roadmap

  • ✅ Plugin system (e.g. add a knowledge base, custom tracing, queues, etc)
  • ✅ Get OpenClaw / claw-style agent employees
  • ✅ companies.sh - import and export entire organizations
  • ✅ Easy AGENTS.md configurations
  • ✅ Skills Manager
  • ✅ Scheduled Routines
  • ✅ Better Budgeting
  • ✅ Agent Reviews and Approvals
  • ✅ Multiple Human Users
  • ⚪ Cloud / Sandbox agents (e.g. Cursor / e2b / Novita agents)
  • ⚪ Artifacts & Work Products
  • ⚪ Memory / Knowledge
  • ⚪ Enforced Outcomes
  • ⚪ MAXIMIZER MODE
  • ⚪ Deep Planning
  • ⚪ Work Queues
  • ⚪ Self-Organization
  • ⚪ Automatic Organizational Learning
  • ⚪ CEO Chat
  • ⚪ Cloud deployments
  • ⚪ Desktop App

This is the short roadmap preview. See the full roadmap in ROADMAP.md.


Community & Plugins

Find Plugins and more at awesome-paperclip

Telemetry

Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.

Telemetry is enabled by default and can be disabled with any of the following:

Method How
Environment variable PAPERCLIP_TELEMETRY_DISABLED=1
Standard convention DO_NOT_TRACK=1
CI environments Automatically disabled when CI=true
Config file Set telemetry.enabled: false in your Paperclip config

Contributing

We welcome contributions. See the contributing guide for details.


Community


License

MIT © 2026 Paperclip Labs, Inc

Star History

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Open source under MIT. Built for people who want to get work done, not babysit agents.