## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Agents have a persistent visual identity (#13171): a ClipLab character in one of 17 palettes, rendered as cached PNGs in lists and as a live character in larger placements. > - The onboarding wizard is where a person meets that identity first, and it showed a stock ClipLab expression on the previous engine while the rest of the app would show a different character on a newer one. > - The wizard's steps also cut from one screen to the next, so the arc read as separate pages rather than one walk. > - This pull request puts one character on one engine everywhere, gives the wizard's hero the studio's sleepy → wink → idle sequence on Review, and hands the steps over inside one presence. > - The benefit is that what wakes on Review is exactly what the agent looks like on the dashboard afterwards, and the walk to it reads as one screen changing. ## Linked Issues or Issue Description Refs #13171, now merged into master. This PR contains the onboarding and ClipLab update on top of that foundation. Original feature work by @tonio-alucema; merge preparation preserves the original commits. **Problem or motivation** The onboarding hero and the app's avatars were two different characters on two different ClipLab engines. Steps 1 → 4 of the wizard cut between screens, and the wizard mounted cold when a cloud-managed workspace arrived from Cloud's naming screen. **Proposed solution** Vendor ClipLab v0.2.0 as the shared engine and render one studio-exported character from it in every palette, for every pose and size. Play the export's one-shot wake on Review with the palette fading in over the gray dormant loop. Hand steps over inside one presence so the footer slides instead of jumping, and play the arrival half of that hand-off when the wizard opens directly on the agent step. **Alternatives considered** Exporting mp4/webm loops per size: no cursor following, no clean alpha, and the palette "colour in" is a runtime blend. Minting a `cap-v2` character version: nothing had shipped `cap-v1`, so the artwork is regenerated in place instead of migrated. Keeping the separately vendored runtime bundle for the hero: two engines and two characters in one app. ## What Changed - `packages/shared/src/cliplab`: re-vendored from ClipLab v0.2.0 (`987b6db0`) with the Paperclip adaptations replayed (optional graphics backend for the Node SVG snapshot path, supersampled live textures, character framing, deterministic SVG id prefixes); new upstream `particles.ts`. - `packages/shared/src/cliplab/character.ts`: the studio export, mirrored from `ui/src/assets/cliplab/onboarding.character.json` by `scripts/sync-cliplab-character.mjs` (drift caught by `check:token-gates`). `characterDefinition` builds every palette from it; the resting portrait is its idle beat. - `OnboardingCharacter`: gray `sleepy` loop through the agent and connect steps; on Review the one-shot sleepy → wink → idle plays on two lock-step canvases while the palette fades in, then the `idle` loop. Body-follows the pointer, page-scoped. 160px in the wizard. - `OnboardingWizard`: steps 1 → 2 → 3 → 4 hand over inside one `AnimatePresence` (departing content fades and gives its room back; arriving content opens its room then fills); the hero has a room that opens on the walk into the agent step; opening directly on the agent step plays the arrival half; the self-hosted naming step uses the arc's label and field. - Motion vocabulary in `onboarding-motion.ts` (`stepContentMotion`, `ledeMotion`, `heroRoomMotion`, `heroRoomArrival`, `titleSwapMotion`). - Storybook: `Onboarding / Character` (Wake Up), `Onboarding / Agent arc` walkable from the naming step plus `Arrive From Cloud`; the companies fixture answers the wizard's create call with a company. - Uses the shared runtime for onboarding; `doc/agent-personas.md` documents the shared character. - Releases both onboarding canvases after partial startup or transition failure. Registers each canvas before seeking so synchronous render errors can release it. Six component tests cover these failures and palette changes before or during wake. - Refreshes both sleeping canvases when the palette changes, including a palette change in the same render as wake. - Moves choreography values into the CSS token layer and preserves the shared motion catalog drift check across the imported stylesheet. - Repairs the static Storybook avatar route and uses accessible heading names/current button labels in the wizard play functions. - Closes the lazy avatar worker pool during application shutdown. ## Verification - Merge-preparation checks: `pnpm -r typecheck`, `pnpm build`, `pnpm build-storybook`, and `pnpm check:token-gates` pass. The final UI typecheck and 123 focused onboarding, lifecycle, and token catalog tests pass. All 55 checks on final head `b4f5e201a1564083d163abc6f93f5b3da06ccefd` pass, including the full sharded test suite, runner verification, and all eight browser shards ([CI run](https://github.com/paperclipai/paperclip/actions/runs/35445430535)). The duplicate monolithic local `pnpm test:run` was stopped after CI completed; it is not claimed as a separate completed local run. - Chromium walkthrough: palette change, wake, return to sleep, WebGL failure fallback, Review step hand-offs and cloud arrival pass with normal and reduced motion; no browser errors. The signoff happy-path browser test also passes against a disposable instance. - The final CI run confirms the catalog fix and a passing signoff browser shard. The earlier signoff failure was a heartbeat-run availability timeout; the focused local reproduction and final CI passed without signoff code changes. - Original author verification: - `pnpm check:token-gates` (includes the new character sync check); shared, server avatar/persona (17) and UI onboarding/persona (137) suites pass; `pnpm build-storybook` packages all 3,564 avatar PNGs through the worker pipeline. - Storybook: `Agents / Personas` Sizes, Expressions and Palettes render the studio character at every size and pose; `Onboarding / Character → Wake Up` plays the wake on the shared engine; `Onboarding / Agent arc` walks 1 → 4 with the hand-offs, and `Arrive From Cloud` plays the arrival (measured: content room 6 → 65px over 320ms, fade to 1.0 by ~560ms, footer travel continuous). - The original author walked the agent → connect → review flow and wake after a real sign-in on staging. - Not done here: the Linux Storybook visual baselines (`tests/storybook-visual/agent-personas.spec.ts`) need re-baselining for the new engine, hero size and naming-step changes. ## Risks - Every avatar's pixels change (new engine, new character) under the unchanged `cap-v1` name. Stacks that rendered avatars on the previous engine keep those PNGs in their cache (`generated-agent-avatars/cap-v1/...`, served immutable) until cleared; only the two pinned staging stacks ever did. - The one-shot handoff to the idle loop is timed from the sequence's authored duration (the engine reports completion by continuing into idle itself); presentation only, nothing in the wizard's state waits on it. - Reduced motion skips the wake and the hand-offs; jsdom is treated the same way, so the wizard tests see the next step's content immediately. - The committed export differs from the studio by one animation (Loop off, leading idle step removed); a re-export without that fix would play a 5.6s idle before the wake. ## Model Used Original feature: Anthropic Claude Fable 5.1 (`claude-fable-5-1`) in Claude Code, with shell, browser, and file tools. The original context window was not recorded. Merge preparation and lifecycle regression fixes: OpenAI GPT-6 in Codex, with reasoning, shell execution, file editing, GitHub CLI, and automated tests. The session does not expose an exact runtime model ID or context-window size. ## 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: Dotta <bippadotta@protonmail.com> Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
Quickstart · Docs · GitHub · Discord · Twitter · Website
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. |
Paperclip is right for you if
- ✅ You want to build autonomous AI organizations
- ✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
- ✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
- ✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
- ✅ You want to monitor costs and enforce budgets
- ✅ You want a process for managing agents that feels like using a task manager
- ✅ You want to manage your autonomous businesses from your phone
The four pillars
Four things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.
| Pillar | Built for | What it covers |
|---|---|---|
| Agentic Task Manager — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |
| Org Chart for Agents — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries |
| 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 AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentEvery task traces back to the organization mission. Agents know what to do and why. |
💓 HeartbeatsAgents wake on a schedule, check work, and act. Delegation flows up and down the org chart. |
💰 Cost ControlMonthly budgets per agent. When they hit the limit, they stop. No runaway costs. |
🏢 Multi-OrganizationOne deployment, many organizations. Complete data isolation. One control plane for your portfolio. |
🎫 Ticket SystemEvery conversation traced. Every decision explained. Full tool-call tracing and immutable audit log. |
🛡️ GovernanceApprove hires, override strategy, pause or terminate any agent — at any time. |
📊 Org ChartHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description. |
📱 Mobile ReadyMonitor and manage your autonomous businesses from anywhere. |
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-organization 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 24.11 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
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 doc/CLI.md for credential and
reuse behavior.
Troubleshooting: private npm registry
.npmrcIf this fails with an
E404forpaperclipai(or similar) and you use a private npm registry (for example GitHub Packages) via a global~/.npmrc,npxmay be resolvingpaperclipaiagainst that private registry instead of the public npm registry.Diagnostic:
npm config get registryWorkaround (cross-platform; force the public npm registry for this command):
npx --registry https://registry.npmjs.org paperclipai 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 24.11+, pnpm 9.15+
FAQ
What does a typical setup look like? Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.
If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.
Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.
How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.
Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.
(Bring-your-own-ticket-system is on the Roadmap)
Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.
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. @opentelemetry/api is a normal server dependency; the SDK, auto-instrumentation, and exporter packages are optional peer dependencies — install them only if you want tracing. See doc/observability.md for install commands and the full env-var reference.
Paperclip also ships with opt-in Sentry error monitoring for the server and the browser. Set SENTRY_DSN_FRONTEND to activate it for the browser and SENTRY_DSN_BACKEND to activate it for the server — each variable is optional, and the legacy SENTRY_DSN variable still works as a fallback for either component. The supported server SDK version is @sentry/node@10.71.0; it is an optional peer dependency for the server, so install it only if you want error monitoring. The browser SDK, @sentry/browser, is pinned to the same exact version. See doc/observability.md for the install command, the privacy settings, and the full default capture set.
Telemetry
Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.
Contributors changing emitted telemetry events should follow the Telemetry Data Contract. For proposed first-party events that are not in the generated contract yet, follow Telemetry Workflow.
Telemetry is enabled by default and can be disabled with any of the following:
| Method | How |
|---|---|
| Environment variable | PAPERCLIP_TELEMETRY_DISABLED=1 |
| Standard convention | DO_NOT_TRACK=1 |
| CI environments | Automatically disabled when CI=true |
| Config file | Set telemetry.enabled: false in your Paperclip config |
Contributing
We welcome contributions. See the contributing guide for details.
Community
- Discord — Join the community
- Twitter / X — Follow updates and announcements
- GitHub Issues — bugs and feature requests
- GitHub Discussions — ideas and RFC
License
MIT © 2026 Paperclip Labs, Inc
Star History
Open source under MIT. Built for people who want to get work done, not babysit agents.
