DottaandClaude Opus 5.5 1b7ec13acb perf(native): default remote sandbox runs to a warm, reusable sandbox for measured harnesses (#20048)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Agents can run in remote sandboxes (Daytona), where each turn needs
the task's workspace and a runner inside the sandbox
> - With a default environment, every remote turn got a brand-new
sandbox: the whole workspace was uploaded again and a new runner
started, even for a follow-up comment
> - In a paperclip-sized workspace that made a follow-up take 30 s to
first token, against 8–10 s with a reusable warm sandbox
> - This pull request makes an agent that never chose a lifecycle run
warm on a sandbox for the measured harnesses (Codex, OpenCode, Claude),
so a follow-up keeps its sandbox, runner and workspace
> - The default applies only where warm can work: a sandbox provider
that keeps reusable leases, and a managed AI account that supports a
warm session. Everywhere else the run is per-turn, exactly as before
> - The benefit is fast remote follow-ups by default, without
re-uploading a large repository every turn

## Linked Issues or Issue Description

**What happened?**
On Daytona, with a fresh paperclip clone as the project workspace, a
follow-up comment took 30 s to its first token. The run log showed
`environment: fresh/created` on every follow-up. It spent 13.3 s in
`workspace_sync.transfer`, a full upload into the new sandbox, and 8–9 s
in `runner.session.resume`.

**Steps to reproduce**
1. Create a Daytona environment with the defaults: lifecycle inherited,
lease reuse off.
2. Run a Codex task in a large repository, then post a follow-up.
3. The follow-up gets a new sandbox, uploads the whole workspace again
and starts a new runner.

**Expected behavior**
A follow-up on the same task reuses the live sandbox, its runner and its
workspace (plan rule 2: no full re-upload per turn).

## What Changed

- **One rule for the default.** `defaultsRemoteSandboxRunToWarm`
(`native-runtime/native-warm-capability.ts`) decides the remote-sandbox
warm default for both the lease (environment view) and the runner
(native session policy), in one vocabulary (runtime backend plus ACPX
agent). It is applied only when no lifecycle was chosen anywhere:
admitted session, environment `runnerLifecycleMode`, or agent
`lifecycleMode`. It holds only when:
  1. the harness is measured (Codex, OpenCode, ACPX Claude);
2. the sandbox provider keeps reusable leases (Daytona, CreateOS and
boxd declare them; E2B, Modal and the built-in `fake` do not); and
3. with a managed AI account, that harness supports a managed warm
session (`supportsManagedNativeWarmSession`: Codex).
- **The harness resolves as the runtime resolves it.**
`resolveWarmProviderSelection` uses
`resolvePaperclipRunnerProviderProfile`, so an omitted `provider` is
Codex and ACPX without an agent is Claude, in both decisions. A config
the runtime would refuse gets no default.
- **Lease side** (`runner-environment-lifecycle.ts`,
`environment-run-orchestrator.ts`): for an eligible run only, the
orchestrator asks the provider before acquisition
(`providerSupportsReusableLeases` in `environment-runtime.ts`: the
acquisition rule, one registry lookup for a plugin provider, no
worker-ready wait). With support, the run-scoped view sets `reuseLease:
true` and forwards the warm idle window to the provider's auto-stop. The
shared environment is never rewritten. Every other run resolves exactly
as on master, without the probe.
- **Runner side** (`native-lifecycle.ts`, `runtime-selection.ts`): the
native policy applies the same rule to the acquired lease
(`reusableLeaseConfigured && effectiveCapabilities.reusableLeases`). If
acquisition downgrades the lease anyway, the run falls back to per-turn;
a default never produces
`runner_warm_environment_requires_reusable_lease`.
- **Idle window.** The remote default uses the window the environment
view forwards to the provider: an inheriting environment's
`runnerIdleTimeoutMs`, then the agent's `idleTimeoutMs`, then 5 minutes.
The sandbox execution target now carries the environment's window
(`runnerIdleTimeoutMs`, an optional field in `adapter-utils`'s execution
target) so the runner and the provider auto-stop agree. An explicit warm
choice and the local default are unchanged.
- Unchanged: explicit agent choices, environments that pin a lifecycle,
plugin-task environments, admitted sessions (`persistedPolicy`), and
local behavior.
- `tests/restart-chaos`: the vCPU budget check counts `--daytona-inherit
--lifecycle default` sandboxes as retained, because they now default to
warm.
- `doc/plans/2026-11-08-large-workspace-speed.md`: the measurements, the
ranked waits, and the gate.

## Verification

- Unit and integration tests, one per rule:
- Rule 1 (provider gate): `native-lifecycle.test.ts` (ephemeral lease →
per-turn), `runner-environment-lifecycle.test.ts` (no reusable leases →
environment unchanged, no warm window),
`environment-runtime-reusable-lease-probe.test.ts` (`fake`, an
undeclared plugin, a declared plugin whose worker does not verify the
reuse methods, and a plugin without a running worker read false),
`runtime-selection.test.ts` ("defaults an agent without a lifecycle on
...": reusable → warm/keep_running; reuse configured on an unsupported
provider → per_turn/destroy_after_turn; ephemeral → per_turn),
`environment-run-orchestrator.test.ts` (probe result decides
`reuseLease` and the forwarded window).
- Rule 2 (explicit configuration wins): explicit per-turn agent, pinned
environment, admitted session, configured `idleTimeoutMs`, managed
Claude per-turn, managed Codex warm; the orchestrator does not probe
when a lifecycle is explicit.
- Rule 3 (omitted provider): `{}` resolves to Codex in the environment
view; `runtime-selection.test.ts` "agrees with the environment view's
lease for ..." feeds the environment view's lease into selection for
Codex, a provider-less Codex agent, OpenCode, ACPX Claude, ACPX without
an agent, and Copilot (per-turn), and checks both decisions agree. A
plugin-task target stays out of the default.
- The two suites that failed on the previous head
(`runtime-selection.test.ts`,
`workspace-recovery-preparation-dispatch.test.ts`) pass locally.
Locally, 6 connector-skill cases in `runtime-selection.test.ts` fail
with `ENOENT .claude/skills/slack/SKILL.md` because this checkout is a
nested worktree; they do not touch this change and pass in CI.
- End-to-end check of this default on Daytona (before the gate was
added; Daytona keeps reusable leases, so the gate does not change this
path): a user-default environment (lifecycle inherited, lease reuse
unset, `--daytona-inherit`), a fresh paperclip clone, built from the
image's source revision with this change (branch measure/remote-warm).

  | | Before (per-turn sandbox) | After (this change) |
  |---|---|---|
  | Follow-up, Codex | 30.4 s | 7.6 s |
  | Follow-up, Claude | about 30 s | 11.0 s |
  | First follow-up after an idle K1, Codex | 45.9 s | 20.3 s |
  | First follow-up after an idle K1, Claude | 38.3 s | 18.3 s |

The run-log reuse records show the follow-ups reusing the workspace,
environment, runner and provider session, with no
`workspace_sync.transfer`. First turns still upload the workspace once
(14.8 s and 26.1 s). Every sandbox was cleaned up.
- Daytona restart chaos wave (K1/K2/K4 with a mid-run comment,
inheriting environment, agents with no lifecycle, runner image built
from this branch): wave `w-20261110T171438-s20048`, seed 20048, on
b7f6243d60 with image `paperclip-daytona-runner@sha256:76a33275…6fe29`
(built from this branch by the `image_only` runner workflow; runner
content id `ed503454…a479` matches every later commit here, which change
only server, adapter-utils types and tests). `--daytona-inherit
--lifecycle default --adapters codex,claude --workloads A1,C1 --triggers
time,comment --faults K1,K2,K4 --tasks 6 --concurrency 3`.
- **6/6 tasks pass** (R1–R6 and T), all 6 crossed a restart; cells:
Codex A1 K2, Codex A1 K4, Claude A1 K4, Claude C1 K1, Claude C1 K4,
Codex C1 K2 at the mid-run comment. **No task needed Retry** (R3 n/a on
every task; one Claude task recovered automatically from
`process_lost`). No open signatures, 0 speed breaches.
- The default applied: the R6 sweep found 6 retained reusable leases
(one per task, Daytona keeps them) and no orphan or leaked sandbox; the
environment was deleted cleanly.
- Timings (Daytona, first turns, n=3 each): TTFT p50 Codex 21.9 s,
Claude 31.0 s. Restart recovery p50/p95: Codex 10.5 s / 29.6 s (n=3),
Claude 8.8 s / 23.9 s (n=2). Warm follow-up TTFT has no clean sample in
this wave (both follow-ups were crossed by a fault), so the follow-up
comparison above (30.4 s → 7.6 s Codex, ~30 s → 11.0 s Claude) remains
the speed evidence; no separate per-turn chaos wave was run.
- An earlier attempt, `w-20261110T170357-s20048`, never started tasks:
the first sandbox from the new image stayed `creating` past the
harness's 300 s Codex qualification bound (Daytona building the new
snapshot). It left one sandbox that the harness reported after deleting
the environment; the rerun on the cached snapshot is the wave above.
- The idle-window fix (9a74116082) landed after the wave; it changes
only runs whose inheriting environment sets `runnerIdleTimeoutMs`, which
this wave's environment does not.

## Previous-release story

No persisted state changes shape. A session admitted per-turn before
this change keeps its saved policy (`persistedPolicy` wins) until a new
session starts. A run in flight at the cutover keeps its admitted
lifecycle for recovery (`admittedLifecycleMode` wins in the environment
view).

## Cost and opt-out

- **Cost:** after a turn, the sandbox and its warm runner stay up for
the warm idle window (the environment's `runnerIdleTimeoutMs`, else the
agent's `idleTimeoutMs`, else 5 minutes). Then the controller suspends
the runner, and the provider auto-stop follows the same window. One idle
window per active task.
- **Opt-out:** set the agent's lifecycle to "Turn by turn"
(`lifecycleMode: per_turn`), or set the environment's
`runnerLifecycleMode` to `per_turn`. Either wins over this default.

## Reuse scope, restart and saved work

- **One lineage per sandbox.** The Daytona plugin keys a reusable lease
by the agent plus the execution workspace (or issue). Another task never
gets a sandbox holding a different task's files, and subtasks still get
fresh workspaces from the project base, so they get their own sandbox.
The workspace is adopted only after its stamp matches the host's.
- **After a restart,** a warm sandbox is reattached or replaced through
the existing warm recovery and owner fencing. A sandbox with a live
owner is never claimed twice. The Daytona chaos wave above checks this.
- **No lost work.** Each turn's workspace copyback
(`workspace_finalize`) runs at the end of the turn, before any idle
suspend, as for per-turn runs.

## Risks

- **Cost:** an idle sandbox stays up for the warm idle window (5
minutes) after a turn, then suspends. Only on providers with reusable
leases.
- **Probe cost:** one plugin-registry lookup before acquisition, only
for runs the default can apply to. No wait for a worker: a provider
whose worker is not running yet reads as unsupported, so that run is
per-turn.
- **Known gap (pre-existing, not widened):** with an explicit agent warm
choice on an inheriting environment that sets `runnerIdleTimeoutMs`, the
provider gets the environment's window while the host uses the agent's,
as on master.
- **Restart behavior on warm remote sandboxes** uses the existing warm
recovery paths. The Daytona chaos wave above checks K1, K2 and K4.
- Sessions admitted per-turn before this change stay per-turn until a
new session starts.
## Model Used

- Claude Opus 5.5 (`claude-opus-5-5`), Anthropic, via Claude Code with
tool use (shell, file editing, test execution, Daytona measurements).

## 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
- [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
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-10 11:49:14 -06:00
…
…

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

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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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