TonioandClaude Opus 5 11e56654f8 feat(ui): port onboarding flow from prototype; add cloud + local variants (#10786)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - First-run onboarding is the subsystem that turns a brand-new install
into a working company: it creates the company, its goal, a lead agent,
and that agent's first task
> - The existing `OnboardingWizard` carried all of that wiring
correctly, but its UI had drifted from the current design direction, and
a separate design prototype (`paperclip-onboard`) existed as a
standalone visual mock with no backend
> - Porting the prototype's *logic* would have thrown away working,
well-tested backend orchestration; leaving the two apart meant the
design never shipped
> - Separately, cloud and local (self-hosted) installs need meaningfully
different first runs — local has no sign-in and must let the user pick a
locally-installed CLI adapter — so a single linear wizard could not
serve both
> - This pull request rebuilds the presentational layer from the
prototype on top of the existing backend orchestration, and splits it
into two thin flow containers over a shared core
> - The benefit is that the shipped onboarding matches the intended
design, cloud and local can diverge without duplicating logic, and each
can later ship to a different app version while sharing one set of step
components

## Linked Issues or Issue Description

No existing issue — describing inline (feature request).

**What problem does this solve?**
Onboarding is the first thing a new user sees, and the shipped wizard
had drifted from the current design. In parallel, cloud and local
installs need different first-run paths: local has no hosted sign-in,
and its agent runs on a CLI adapter installed on the user's machine,
which the cloud path never has to ask about. There was no way to express
that difference without either forking the whole wizard or bolting
conditionals onto a single linear flow.

**Proposed solution**
Extract the onboarding step views and shell into a shared core, then
compose two thin flow containers (cloud and local) over it. Keep all
backend orchestration in the existing `useOnboardingFlow` hook so no
working logic is rewritten.

**Alternatives considered**
- *Single flow with a `variant` prop* — most DRY, but the two flows are
intended to ship on different app versions, and a shared file would have
to be split later anyway.
- *Two fully independent copies* — simplest per-flow, but every shared
refinement (spacing, motion, copy) would have to be made twice and would
drift.

## What Changed

- **Shared core** under `ui/src/components/onboarding/`:
`OnboardingScaffold` owns the full-screen shell and the single
`AnimatePresence` step crossfade, so both flows transition identically;
step views (Start / Company / Agent / Task), `FooterNav`, `AgentPreview`
and the motion constants are extracted for reuse.
- **`CloudOnboardingFlow`** — `start → company → agent → task`; mounted
in the real app via `OnboardingWizardVariant`. Behaviour matches the
retired wizard, including `previewMock` and the existing-company ("add
an agent") entry point.
- **`LocalOnboardingFlow`** — skips sign-in and adds an optional email
ask (with a privacy assurance), a local model/adapter step that hires
with `requireEnvProbe: true`, and a "star us on GitHub" interstitial
before completing. **Harness-only for now** — the real app still mounts
the cloud flow.
- **Deleted `OnboardingWizard.tsx`** (1,786 lines); updated its
Storybook stories and the `OnboardingWizardVariant` test to the new
components.
- **Orbiting 3D paperclip backdrop** behind the auth and welcome screens
(`three`), code-split so it only downloads on those screens; honours
`prefers-reduced-motion` and disposes its GL context on unmount.
- **`motion`** added for step transitions and the agent-capsule
choreography.
- Visual values routed through design tokens per `DESIGN.md`; `Stepper`
generalized to take a step total (backward compatible); `/design-guide`
page and the component index updated.
- **Standalone preview harness** (`ui/onboarding-preview.html`) with
`?flow=` and `?step=` for backend-free review, wired as a second Vite
rollup input.
- **Adapter env probe bound to the adapter it ran against.**
`hireLeadAgent` reused `adapterEnvResult` for any adapter, so when a
hire failed and the user picked a *different* local adapter and retried,
the previous adapter's verdict satisfied the `requireEnvProbe` guard
while the hire posted the new adapter's config — hiring it unprobed. The
cache is now keyed on the adapter type plus the exact config posted to
the test endpoint, the config is built once and shared by probe and
hire, a failed probe clears the cache, and `clearAdapterEnvResult()`
(called on adapter change) stops the step displaying a stale verdict.
Cloud is unaffected — it hires with `requireEnvProbe: false`. Reported
by Greptile.
- **E2E specs re-pointed at the new flow.** Four specs still drove the
deleted wizard (`onboarding`, `conference-room-typing-intro`,
`planning-mode-visual-verification`, `nux-phase4-screenshots`) and
failed with `element(s) not found` on `"Name your company"` /
`input[placeholder="Acme Corp"]`. Rather than repeat the new drive
sequence four times, `tests/e2e/onboarding-flow.ts` adds one driver per
step (`startCloudOnboarding`, `completeCompanyStep`,
`completeAgentStep`, `completeTaskStep`, `completeCloudOnboarding`) and
the specs import it, so the next flow change touches a single file. Two
now-dead `**/test-environment` route stubs went with it — the cloud flow
hires with `requireEnvProbe: false`, so that probe never fires.

## Verification

- `pnpm --filter @paperclipai/ui typecheck` — clean.
- `npx vitest run` over the onboarding suites
(`OnboardingWizardVariant`, `AgentCapsule`, `onboarding-launch`,
`onboarding-goal`, `onboarding-route`, `onboarding-adapter-config`) — 33
tests pass.
- `pnpm --filter @paperclipai/ui build` — succeeds; the three.js chunk
splits out separately (522 kB raw / 133 kB gzip) rather than entering
the main bundle.
- Both flows driven end-to-end in the preview harness in `previewMock`
(no database writes), plus the cloud flow rendered in the real
authenticated app at `/onboarding` to confirm the mount swap.
- The four re-pointed e2e specs pass locally against the new flow.
- New `ui/src/hooks/useOnboardingFlow.test.tsx` — 4 cases pinning the
adapter-probe cache (switch-adapter retry, cold path, explicit clear,
and the cloud flow's `requireEnvProbe: false`). Verified non-vacuous:
the switch-adapter case fails against the pre-fix code.
- Rebased onto current `master`; `pnpm-lock.yaml` is deliberately
**not** committed — `.github/workflows/pr.yml` regenerates it when a
manifest changes and shares it with downstream jobs as the `pr-lockfile`
artifact.

## Risks

- **Deleting `OnboardingWizard.tsx` is the one change that alters
existing app behaviour.** The cloud flow is intended to be
behaviour-equivalent, and its entry points are covered by the updated
`OnboardingWizardVariant` test, but this is the area to review most
closely.
- **Conflict risk with open PRs that touch the old wizard**: #9900,
#9501, #8982 and #6636 all modify
`ui/src/components/OnboardingWizard.tsx`, which this PR removes.
Whichever lands second will need its change re-applied to the new step
components. Flagging so ordering can be decided deliberately.
- **New dependencies**: `motion` and `three` (+ `@types/three`). `three`
is large, so it is lazily imported and code-split — it does not affect
the main bundle. Both are MIT.
- The **local flow is not reachable in the app** yet (harness/canary
only), so it carries no runtime risk today; wiring it up is a follow-up.
- The auth screens remain **presentational only** — they are not wired
to real auth, unchanged from before this PR.
- **Pre-existing, not introduced here:** `OnboardingWizardVariant`
renders outside `<Routes>` in `App.tsx`, so its `useParams()` never
resolves `:companyPrefix` and `/{prefix}/onboarding` opens the welcome
screen instead of jumping to the agent step. `master` has the identical
structure, so this PR faithfully ports existing behaviour; the working
"add an agent" entry is the launcher card behind the overlay, which is
what the screenshot spec drives. Worth a separate fix.

## Model Used

Claude Opus 5 (`claude-opus-5`) via Claude Code, with extended thinking
and tool use (repo search/edit, local test + build execution, and
browser-driven visual verification of the rendered flows). Portions of
the session also ran on `claude-opus-4-8` and `claude-fable-5`.

## 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
- [ ] All Paperclip CI gates are green
- [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [ ] 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 <noreply@anthropic.com>
2026-08-06 23:35:05 -07:00
2026-03-07 02:57:28 +09:00

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.

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

Manage business goals, not pull requests.

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

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

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


Paperclip is right for you if

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

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
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
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

Features

🔌 Bring Your Own Agent

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

🎯 Goal Alignment

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

💓 Heartbeats

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

💰 Cost Control

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

🏢 Multi-Company

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

🎫 Ticket System

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

🛡️ Governance

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

📊 Org Chart

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

📱 Mobile Ready

Monitor and manage your autonomous businesses from anywhere.

Problems Paperclip solves

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

Why Paperclip is special

Paperclip handles the hard orchestration details correctly.

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

What's Under the Hood

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

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

The Systems

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

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

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

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

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

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

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

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

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

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

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

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


What Paperclip is not

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

Quickstart

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

curl -fsSLO https://paperclip.ing/install.sh
curl -fsSLO https://paperclip.ing/install.sh.sha256
if command -v sha256sum >/dev/null 2>&1; then
  sha256sum -c install.sh.sha256
else
  shasum -a 256 -c install.sh.sha256
fi
bash install.sh

The installer ensures Node.js 20 or newer is available, installs a managed Paperclip CLI under ~/.paperclip/cli, and starts interactive onboarding. It can also install Paperclip as a background service on supported Linux and macOS systems. The checksum detects transfer or publishing mistakes, but it is served from the same origin as the script; use a release-tag or commit-pinned GitHub copy when you need an independently hosted source.

For a non-interactive managed install:

curl -fsSL https://paperclip.ing/install.sh | bash -s -- --no-prompt --no-onboard
paperclipai onboard --yes

The piped form requires supported Node.js, npm, and npx to already be present. If Node.js bootstrap is required, download and review install.sh before running it so no privileged dependency-install command is accepted through a pipe.

To try Paperclip without installing anything permanently:

npx --registry https://registry.npmjs.org paperclipai onboard --yes

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 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:

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

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

See doc/INSTALLING.md for pinned versions, canary and git-ref installs, updates, rollback, service management, and uninstalling.

Or manually:

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

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

Requirements: Node.js 20+, pnpm 9.15+


FAQ

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

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

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

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

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

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

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


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, 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
  • ⚪ Memory / Knowledge
  • ⚪ MAXIMIZER MODE
  • ⚪ Work Queues
  • ⚪ Self-Organization
  • ⚪ Automatic Organizational Learning
  • ⚪ CEO Chat
  • 🟡 Cloud deployments (multi-tenant isolation & company Import/Export shipped)
  • ⚪ Desktop App
  • ⚪ Bring-your-own-ticket-system (Asana / Linear / Jira as on-ramps)
  • ⚪ Connected Apps (one-click integrations, e.g. Vercel)

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. The @opentelemetry/* 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.

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


License

MIT © 2026 Paperclip Labs, Inc

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