## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Native runs can execute in a remote sandbox. When a run fails, Paperclip stops the sandbox and records the provider's stop receipt on the environment lease. > - System workspace recovery can restart that stopped sandbox to save its files. Before the restart, it removed the stop receipt from the lease. > - If the restart failed and the provider could not stop the sandbox after that, the lease had no receipt. Continuation admission requires a stop receipt on every remote lease of the failed run. So every Retry and every comment waited for an environment that never stopped. > - This pull request keeps the original receipt until the provider confirms the restart. It restores the receipt when the restart fails and the sandbox cannot stop. A restart that fails because the sandbox disk is full now ends recovery with a fresh-workspace outcome. > - The benefit is that a failed file-preserving restart no longer blocks the task permanently. Saved input and Retry continue in a fresh isolated workspace, and the original sandbox stays retained. ## Linked Issues or Issue Description No public issue exists. This is a bug report in the format of `bug_report.yml`. **What happened?** 1. A native run failed because its Daytona sandbox filled its 10 GB disk. 2. Paperclip stopped the sandbox normally and recorded the stop receipt on the environment lease. 3. Some minutes later, system workspace recovery tried to restart the sandbox to preserve its files. Before the restart, `prepareStoppedSandboxForRecovery` deleted the stop receipt. 4. The restart failed on the full disk. The sandbox went into the provider's `error` state. 5. The stop-only teardown after the failed restart also failed, because the provider cannot stop a sandbox in that state. The lease stayed in `pending_cleanup` with no receipt. The cleanup sweep retried the same failing stop with backoff. 6. `admitExplicitNativeContinuation` requires a provider stop receipt on every remote lease of the failed run. Every Retry and every comment was deferred with "Waiting for the previous environment to stop. Your message will start automatically." The message never started. Also, after recovery was exhausted, a Retry replaced the exhausted generation with a new one. That generation repeated the same restart, and the Retry still reported success. **Expected behavior** A lease must not lose its stop receipt while the real sandbox state is unknown or not running. When the file-preserving restart cannot succeed, recovery must end in a state that lets the task continue, for example in a fresh isolated workspace. **Steps to reproduce** 1. Use a native run with a retained remote sandbox lease that has a `stopped` receipt and a pending workspace recovery. 2. Make the provider resume fail (for example with `no space left on device`), and make the provider stop fail. 3. Run `recoverRetainedWorkspace` until recovery is exhausted. 4. Save a user comment on the task and run the deferred-comment admission. 5. Before this change, the lease is `pending_cleanup` without a receipt. The comment stays deferred with reason `remote_cleanup`, and no successor run starts. **Paperclip version or commit** Observed on a hosted staging build. Reproduced on `master` at `6452e964a36` with the new tests in this PR. **Deployment mode** Hosted, with the Daytona sandbox provider plugin. The defect is in core server recovery code, so it is not specific to one adapter. ## What Changed - `server/src/services/sandbox-stop-and-retain.ts` - `prepareStoppedSandboxForRecovery` still writes the stop-only intent and moves the lease to `pending_cleanup` before the provider call. It now keeps the prior `remoteExecutionTermination` (and `sandboxStopAndRetainReceipt`, if present) as `priorStop` inside the `sandboxStopAndRetain` intent. - New `confirmSandboxRecoveryRestart` removes `priorStop` when the provider resume returns. From that point, the sandbox may be running, and only a fresh stop can settle the lease. - New `restoreSandboxStopAfterFailedRestart` restores the prior receipts and the `released` / `success` lease state. It works only while `priorStop` is present, so only when no restart was confirmed. It checks the restored receipt with `hasRemoteTerminationReceipt` first. It uses the same attempt fence as `settleStopOnlyCleanup`, and it writes through `writeEnvironmentCleanup` so dispatch and cleanup wake up. - `settleStopOnlyCleanup` now shares that attempt fence (`stopOnlyAttempt`). Its behavior does not change. - `server/src/services/workspace-recovery.ts` - After `resumeWorkspaceRecoveryLease` returns, recovery confirms the restart before any other check. - If the restart is not confirmed, recovery still tries the stop-only teardown first. A successful stop records a fresh receipt, as before. If the stop also fails, recovery restores the prior receipt instead of leaving the lease without one. - A later attempt that finds a pending stop-only lease (for example after a process restart during the reopen) uses the same rule when its stop fails. - A resume error that reports a full sandbox disk (`No space left on device` or `Disk quota exceeded`) becomes `source_unavailable` / `use_alternative_strategy`. The generation is exhausted at once, and the existing fresh-workspace continuation applies. Other resume errors keep the existing bounded retry policy (`provider_unavailable`, at most six attempts in 30 minutes). Because the receipt stays, that policy also ends in a state that lets the task continue. - `server/src/services/task-retry.ts`: Retry binds to an exhausted generation with a `use_alternative_strategy` failure and no fresh attempt, the same way it binds to a complete or running generation. It does not create a new generation that repeats a step the policy already rejected. The Retry continues in a fresh isolated workspace. An explicit workspace recovery request (`requestWorkspaceRecovery`) still starts a new generation. - `doc/task-recovery.md`: describes the receipt handling around the reopen and the Retry binding. - `server/src/services/workspace-recovery.test.ts`: four new tests (five cases) with the real database and mocked provider calls. ### Design choice I kept the existing write-ahead fence. The lease still leaves `released` and shows no receipt while the provider reopen is in progress. So no admission, reuse or destructive cleanup can act in that window, and a crash still leaves a stop-only obligation. The original receipt is not deleted. It stays in the stop-only intent and is discarded only when the provider confirms the restart. This makes one simple rule: the suspended receipt exists only while no restart has been confirmed. I did not use "restore only when the provider confirms that the sandbox is not running". The Daytona plugin reports a sandbox in the `error` state as `active` in `inspectLease`, and its `stopLease` cannot stop that state. So with the current plugin, no provider confirmation exists for this exact failure, and the hold would stay. A separate change to the Daytona plugin's `stopLease` can recover an errored sandbox before it stops it. This PR does not depend on that change. If that change lands and its recovery succeeds, the existing stop attempt records a fresh receipt, and the restore path is not used. I also did not change continuation admission to accept a lease in `pending_cleanup`. Many gates treat pending cleanup as unfinished work (`hasPendingRunCleanup`, the remote stop check and others). A change there would be wider and more sensitive. The restored receipt is the provider's original receipt, bound to the same company, run, lease, provider, allocation and plugin. No process ID or run status takes its place. ## Verification All commands ran from `server/` in a clean worktree of `master` on macOS (Apple Silicon), with the embedded PostgreSQL test database. Vitest ran from the real path. - Baseline on `master` (`6452e964a36`), before any change: `npx vitest run src/services/workspace-recovery.test.ts` → exit 0, 331 passed. - The new tests fail on `master`. I reverted only the three source files and kept the new tests: - `npx vitest run src/services/workspace-recovery.test.ts -t "file-preserving restart fails|without repeating a restart|keeps the stop obligation once|interrupted restart that the provider"` → exit 1, 4 failed, 1 passed. - In the comment cases, no successor run starts (`expected [] to have a length of 1`). A temporary log (not committed) showed the lease in `pending_cleanup` in both cases. In the `unknown_failure` case, the comment was deferred with `remote_cleanup` / "Waiting for the previous environment to stop. Your message will start automatically." This is the same hold as in the incident. - The guard test "keeps the stop obligation once the provider has confirmed a restart" passes on `master`, as expected. It makes sure that the fix does not restore a receipt after a confirmed restart. - With this change, the same command → exit 0, 5 passed. - `npx vitest run src/services/workspace-recovery.test.ts` on the committed head → exit 0, 336 passed (331 existing and 5 new). - Neighboring suites (`task-retry`, `explicit-native-continuation`, `heartbeat/recovery`, `environment-runtime`, and the other server test files that import the changed modules: `live-recovery-work`, `retained-native-session-cleanup-work`, `execution-control-work`, `legacy-workspace-restore-recovery`, `deferred-execution-receipt-work`, `issue-agent-mutation-ownership-routes`, `native-workspace-export-retry`, `native-cancelled-workspace-preservation`, `native-workspace-warm-reuse`, `native-workspace-reconstruction`, `native-failed-workspace-recovery`, `heartbeat/workspace-preparation`) → exit 0, 16 files, 1456 passed. - `npx vitest run src/__tests__/chat-channels.integration.test.ts src/__tests__/slack-conversation-lifecycle.test.ts src/services/native-runtime/preserved-native-response-wait.integration.test.ts` (other importers of `task-retry`) → exit 0, 3 files, 2074 passed. - `pnpm --filter @paperclipai/server typecheck` → exit 0. - Not run: the full `pnpm -r typecheck`, `pnpm test:run` and `pnpm build` repo checks. CI runs them. No live Daytona probe ran. New tests: - `lets saved input continue after a file-preserving restart fails on a sandbox that cannot stop` (`disk_full`, `unknown_failure`): resume fails and stop fails. The lease keeps its original receipt and is `released` / `success`. Recovery is exhausted (after one attempt for a full disk, and after six attempts for an unknown failure). The saved comment starts one successor run with `fresh_isolated_workspace` readiness. The source files stay in the retained sandbox. - `continues a Retry in a fresh workspace without repeating a restart that cannot succeed`: after a full-disk exhaustion, Retry keeps the same generation and binds its intent. The restart is not called again, and the Retry starts one run in a fresh isolated workspace. - `keeps the stop obligation once the provider has confirmed a restart`: resume returns, a later check fails, and the stop fails. The lease stays `pending_cleanup` without a receipt, and the intent has no `priorStop`. - `restores the stop receipt after an interrupted restart that the provider never confirmed`: the lease starts in `pending_cleanup` with a suspended receipt, as after a process restart during the reopen. The stop fails, the receipt is restored, and the attempt continues to the normal reopen. Assumption and limits (runtime dependency rule): the provider calls are mocked, and the database is real. The tests do not exercise the real Daytona error text. The full-disk check matches the patterns that Paperclip already uses for sandbox disk-full errors. If the provider error text does not match, recovery uses the bounded retry path, which now also ends in a fresh-workspace continuation. The change adds one database write after each confirmed reopen and one after a failed reopen and stop. It adds no polling. ## Risks - A resume can fail after the provider started the sandbox, for example when the reply is lost. If the stop-only teardown then also fails, recovery restores a `stopped` receipt for a sandbox that can be running. The old run's processes do not survive the earlier stop, so the receipt is still correct as proof that the old execution ended. But the retained sandbox can run until the provider stops it or a later recovery or cleanup stops it. Before this change, the same case caused a permanent hold. - A full-disk restart failure now exhausts recovery at once. The task continues in a fresh workspace without the failed run's files. The files stay in the retained sandbox. An operator can still request workspace recovery explicitly after the disk is freed. - Retry no longer renews an exhausted generation that has a `use_alternative_strategy` failure and no fresh attempt. For destroyed or missing sources, the result is the same as before but without the extra attempt. - No schema or migration change. A suspended receipt is one extra field in the existing `sandboxStopAndRetain` metadata. Older servers ignore the field. The intent equality checks compare the stored value, so a mixed-version deploy keeps working. - #18820 also changes `server/src/services/workspace-recovery.test.ts`. The two PRs touch different tests. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - Anthropic Claude Opus 5.5 (model ID `claude-opus-5-5`), running as a Claude Code agent with tool use (shell, file reads and edits, local test and typecheck runs) and extended reasoning. The runtime does not expose the context window size to the agent. ## 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 either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass (affected suites; full repo runs are left to CI, as noted above) - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [ ] All Paperclip CI gates are green - [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge Co-authored-by: Paperclip <noreply@paperclip.ing>
Quickstart · Docs · GitHub · Discord · Twitter · Website
Sign up for the Paperclip Cloud waitlist →
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. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
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 |
Claude Code |
Codex |
Cursor + Cloud |
Gemini CLI |
OpenCode |
Pi |
Hermes + Gateway |
Grok Build |
Kimi Code |
If it can receive a heartbeat, it's hired.
Custom processes, HTTP endpoints, and external adapter packages extend the roster. See the adapter overview for setup and capabilities.
Paperclip is right for you if
- ✅ You want to build autonomous AI organizations
- ✅ 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
The four pillars
Four things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.
| Pillar | Built for | What it covers |
|---|---|---|
| Agentic Task Manager — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |
| Org Chart for Agents — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |
| Agent Employee Training — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |
| Agentic OS — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |
Features
🔌 Bring Your Own AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentLink tasks and projects to your organization goals. Agents receive the goal context behind their work. |
💓 HeartbeatsAgents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart. |
💰 Cost ControlCompany, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits. |
🏢 Multi-OrganizationOne deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each. |
🎫 Task ThreadsKeep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people. |
🛡️ GovernanceConfigure review and approval stages, approve hires, and pause, reassign, or stop work when needed. |
📊 Org ChartHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description. |
📱 Mobile ReadyMonitor and manage your autonomous businesses from anywhere. |
🔗 Apps & ConnectionsConnect services such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off. |
👥 Shared Agents, Personal AccountsChoose who can use a connection and which agents can access it. Managed GitHub operations can use the account of the person directing the work. |
🧠 Skills & Skill StudioInstall or write shared skills, test them with saved inputs, inspect results, and restore earlier versions. |
📅 Scheduled RoutinesRun recurring work on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history. |
📎 Artifacts & FeedbackFind the files and documents agents produce. Preview supported formats and leave comments on specific passages in documents. |
📦 Ready-Made TeamsPreview and install teams with roles, skills, projects, and routines. Choose their runtimes and make the setup your own. |
Experimental Agent Chat and chat/email connectors add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.
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. | ✅ Spend tracking, budget alerts, and automatic pauses help you control the cost of ongoing work. |
| ❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. | ✅ Routines create assigned tasks on a schedule, with outputs and run history you can inspect. |
| ❌ 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 task checkout. | A single assignee and execution locks prevent competing runs from claiming the same task. |
| Persistent work context. | Tasks, comments, and documents stay in Paperclip. Supporting adapters resume saved sessions across runs. |
| 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. |
| Accountable connections. | Human access, agent eligibility, and gateway action permissions are separate controls. Approve a call once or save a revocable rule. |
| Goal-aware execution. | Linked tasks and projects carry goal ancestry so agents see the "why," not just a title. |
| Portable company templates. | Export/import orgs, agents, and skills with secret scrubbing and collision handling. |
| Organization boundaries. | Company-scoped access checks keep each organization's work, agents, and activity separate within one deployment. |
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), human roles and permissions, agent API keys, short-lived run JWTs, company memberships, and invite flows. Responsible-user attribution follows work through delegation and supported managed connections. |
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. Search across work, review document revisions, and leave anchored feedback. |
Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce logs, usage records, and adapter-specific session state. Bounded recovery handles supported failures and surfaces cases that need human action. |
|
Workspaces & Runtime — Project repositories and workspaces, optional isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Sandbox providers extend execution beyond the local host; availability depends on the configured environment and adapter. |
Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, and agent pause/resume/terminate. Configured task reviews govern completion; connection action approvals govern calls through the tool gateway. |
|
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. Enforcement uses recorded spend; usage reporting and in-flight work can delay a stop. |
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 — Company secrets and per-person secret values, encrypted credential storage, local or S3-compatible file storage, attachments, and work products. Secret references supply credentials to authorized runs without copying values into ordinary agent configuration. |
|
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 — Preview, export, and import organization packages with agents, skills, and optional projects, routines, tasks, and attachments. Referenced secret values are omitted; review packages before sharing because plain environment values and local paths can remain. Packages share an operating setup; full-instance recovery uses backups. |
What Paperclip is not
| Not just a chatbot. | Conversations stay attached to tasks, plans, decisions, and outputs. Experimental Agent Chat can hand work off to assigned tasks. |
| 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 just a workflow builder. | Routines operate within an organization, with roles, goals, budgets, and governance. |
| Not a prompt manager. | Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in. |
| Not limited to one agent. | Start with one agent and grow into a team with shared skills, delegation, and review. |
| Not only for code review. | Coding and PR review fit alongside research, operations, content, and other work. |
Quickstart
Open source. Self-hosted. No Paperclip account required. Follow the guided quickstart to set up your first agent.
Just ask your agent to install Paperclip
Share the installation guide with your agent.
Or install it yourself
With Node.js 24.11 or newer installed:
npx paperclipai@latest onboard --yes
The CLI runs from npm's cache; your instance configuration and data persist locally.
See the installation guide for managed installs, pinned versions, canary and git-ref installs, updates, rollback, service management, and uninstalling.
For an isolated manual test instance that is already initialized with a CEO
agent, use test-drive. It stays in the foreground, never installs a service
or creates a first task, and opens the browser only after setup succeeds:
ANTHROPIC_API_KEY=... npx paperclipai test-drive
OPENAI_API_KEY=... npx paperclipai test-drive --harness codex
OPENROUTER_API_KEY=... npx paperclipai test-drive \
--harness opencode \
--model openrouter/anthropic/claude-sonnet-4.5
Each run without --data-dir gets a unique, retained temporary directory; its
absolute path is printed at startup. Pass --data-dir to reuse one, or
--no-browser to leave the initialized instance unopened. When invoked from a
linked Git worktree, test-drive also enables task execution in that worktree.
See the test-drive guide for credential and
reuse behavior.
Troubleshooting: private npm registry
.npmrcIf this fails with an
E404forpaperclipai(or similar) and you use a private npm registry (for example GitHub Packages) via a global~/.npmrc,npxmay be resolvingpaperclipaiagainst that private registry instead of the public npm registry.Diagnostic:
npm config get registryWorkaround (cross-platform; force the public npm registry for this command):
npx --registry https://registry.npmjs.org paperclipai@latest 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@latest onboard --yes --bind lan
# or:
npx paperclipai@latest onboard --yes --bind tailnet
If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use npx paperclipai configure to edit settings.
Or manually:
git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev
This starts the UI and API at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.
Requirements: Node.js 24.11+, pnpm 9.15+
Local Claude and Codex subscription sign-in also needs Python 3 and the corresponding provider CLI on the Paperclip host. The Docker image includes them.
Source development also builds the native Paperclip Runner when enabled (the self-hosted default). Install a Rust toolchain, or set PAPERCLIP_RUNNER_BINARY to a compatible prebuilt runner.
FAQ
Q: Is this project maintained or just slop?
A: Paperclip is maintained by the Paperclip team. We've merged over 2,700 pull requests.
Q: What does a typical setup look like?
A: 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.
For remote access, use authenticated mode with a private-network bind such as Tailscale, or deploy the persistent server with Docker. See deployment modes and the Docker guide.
Q: Can I run multiple companies?
A: Yes. A single deployment can host multiple organizations with company-scoped data and access checks.
Q: How is Paperclip different from agents like OpenClaw or Claude Code?
A: Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.
Q: Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello?
A: 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)
Q: Do agents run continuously?
A: Agents wake for assigned work and follow-up messages. Optional timer heartbeats let them check for work periodically; routines create recurring tasks on their own schedules. You can also connect externally running agents such as OpenClaw. A mention alone does not assign work or wake another agent.
Development
pnpm dev # Full dev (API + UI, watch mode)
pnpm dev:once # Full dev without file watching
pnpm dev:server # Server only
pnpm dev:mobile # Serve prebuilt UI on :3101 for phones/tablets (proxies /api → :3100)
pnpm dev:both # Run `pnpm dev` and `pnpm dev:mobile` together
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, Skill Studio & Skills Store
- ✅ Scheduled Routines
- ✅ Better Budgeting
- ✅ Agent Reviews and Approvals
- ✅ Multiple Human Users
- ✅ Cloud / Sandbox agents (e2b, Cloudflare, Daytona, Modal, Novita, boxd, self-hosted Kubernetes)
- ✅ Artifacts & Work Products
- ✅ Deep Planning (planning mode, revisioned plans, plan approvals)
- ✅ Enforced Outcomes (watchdogs, recovery actions, review gates)
- ✅ MCP Tool Gateway & Apps (governed tool access)
- ✅ Secrets Manager with per-agent access
- ✅ Activity log & action attribution
- ✅ Self-healing runs & automatic recovery
- ✅ Agent evals & feedback
- ✅ Connected Apps
- ✅ Personal & Shared AI Accounts
- ✅ Shared Agents Use Personal GitHub Identities
- ✅ Skill Version History & Restore
- ✅ Document Comments & Revision History
- ✅ Company-Wide Search
- ✅ Multi-Model & Multi-Harness Teams
- 🟡 Memory / Knowledge
- ⚪ MAXIMIZER MODE
- ⚪ Work Queues
- ⚪ Self-Organization
- ⚪ Automatic Organizational Learning
- 🟡 Agent Chat
- 🟡 Cloud deployments
- ⚪ Desktop App
- ⚪ Bring-your-own-ticket-system (Asana / Linear / Jira as on-ramps)
This is the short roadmap preview. See the full roadmap in ROADMAP.md.
Community & Plugins
Find Plugins and more at awesome-paperclip
Observability
Paperclip ships with opt-in OpenTelemetry auto-instrumentation for the server (traces only). It activates when OTEL_EXPORTER_OTLP_ENDPOINT is set and supports grpc, http/protobuf, and http/json via the standard OTEL_EXPORTER_OTLP_PROTOCOL env var. @opentelemetry/api is a normal server dependency; the SDK, auto-instrumentation, and exporter packages are optional peer dependencies — install them only if you want tracing. See doc/observability.md for install commands and the full env-var reference.
Paperclip also ships with opt-in Sentry error monitoring for the server and the browser. Set SENTRY_DSN_FRONTEND to activate it for the browser and SENTRY_DSN_BACKEND to activate it for the server — each variable is optional, and the legacy SENTRY_DSN variable still works as a fallback for either component. The supported server SDK version is @sentry/node@10.71.0; it is an optional peer dependency for the server, so install it only if you want error monitoring. The browser SDK, @sentry/browser, is pinned to the same exact version. See doc/observability.md for the install command, the privacy settings, and the full default capture set.
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.
Contributors changing emitted telemetry events should follow the Telemetry Data Contract. For proposed first-party events that are not in the generated contract yet, follow Telemetry Workflow.
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
- Discord — Join the community
- Twitter / X — Follow updates and announcements
- GitHub Issues — bugs and feature requests
- GitHub Discussions — ideas and RFC
License
MIT © 2026 Paperclip Labs, Inc
Star History
Open source under MIT. Built for people who want to get work done, not babysit agents.
