Devin FoleyandPaperclip 46fb933b01 fix(recovery): keep the stop receipt when a file-preserving restart fails (#19181)
## 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>
2026-11-04 21:34:14 -08:00
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Paperclip is the app people use to manage AI agents for work.

Quickstart · Docs · GitHub · Discord · Twitter · Website

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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
OpenClaw
Claude Code
Claude Code
Codex
Codex
Cursor and Cursor Cloud
Cursor
+ Cloud
Gemini CLI
Gemini CLI
OpenCode
OpenCode
Pi
Pi
Hermes and Hermes Gateway
Hermes
+ Gateway
Grok Build
Grok Build
Kimi Code
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.

The four pillars of Paperclip
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 Agent

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

🎯 Goal Alignment

Link tasks and projects to your organization goals. Agents receive the goal context behind their work.

💓 Heartbeats

Agents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart.

💰 Cost Control

Company, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits.

🏢 Multi-Organization

One deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each.

🎫 Task Threads

Keep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people.

🛡️ Governance

Configure review and approval stages, approve hires, and pause, reassign, or stop work when needed.

📊 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.

🔗 Apps & Connections

Connect services such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off.

👥 Shared Agents, Personal Accounts

Choose 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 Studio

Install or write shared skills, test them with saved inputs, inspect results, and restore earlier versions.

📅 Scheduled Routines

Run recurring work on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history.

📎 Artifacts & Feedback

Find the files and documents agents produce. Preview supported formats and leave comments on specific passages in documents.

📦 Ready-Made Teams

Preview 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 .npmrc

If this fails with an E404 for paperclipai (or similar) and you use a private npm registry (for example GitHub Packages) via a global ~/.npmrc, npx may be resolving paperclipai against that private registry instead of the public npm registry.

Diagnostic:

npm config get registry

Workaround (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.

We're hiring


Community


License

MIT © 2026 Paperclip Labs, Inc

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