DottaandPaperclip f1a394bd30 feat(runner): add Grok Build through native ACP (#13882)
## Thinking Path

> - Paperclip manages AI agents and governs their work.
> - Its native runner uses structured provider protocols for sessions
and tools.
> - Grok Build supports ACP over stdio, but the runner did not expose
it.
> - Native execution requires company-scoped credentials, verified
identities, and permission gates.
> - This change adds Grok through ACPX for local and Daytona execution.
> - Subscription login and explicit API-key execution have separate
credential paths.
> - Qualification grades real tool outcomes, durable state, and browser
workflows.

## Linked Issues or Issue Description

Refs #13845, #13847, #13850, #13878, #13901, #13973, #13977, #13979.

Add **Grok Build** to `paperclip_runner` with `provider: "acpx"`,
`acpxAgent: "grok"`, and model `grok-4.7`. Existing legacy Grok agents
keep their adapter. Merge the three companion fixes (#13973, #13977,
#13979) before treating the integrated Product qualification as deployed
behavior.

## What Changed

- Synchronize shared, TypeScript, Rust, server, validation, and UI
provider contracts.
- Run Grok native ACP stdio through ACPX and the authenticated Paperclip
MCP bridge. Verify the pinned executable and exact ACP model identity.
- Prefer company subscription login. Support an explicit company-secret
API key without automatic paid fallback. Fence refresh and copyback to
the same account and remove private runtime credentials after
containment.
- Preserve selected permissions, cancellation, durable session identity,
resume, and restart recovery. Keep unsupported steering and goals
unavailable. Preserve missing usage and cost as unknown.
- Package checksum-verified Grok Build 1.0.13 for Daytona with an
immutable, signed image built on EC2.
- Add deterministic admission, protocol, permissions, identity,
credential, failure, and cleanup checks. Add the maintained 39-case
protocol roster and separate subscription/API Product profiles.
- Fix live-test findings in reasoning events, reloads, idle-owner
retirement, credential-home cleanup, expired-login model discovery,
launcher pinning, and rerun evidence selection.
- Align control-plane state readers with the transport's 64 MiB bound
while retaining identity, ownership, lifecycle, and size rejection
checks.
- Stabilize two asynchronous CI assertions while retaining actual
outcome and filesystem-evidence checks.

## Verification

Current integration head `f114948376056fe0b6b34c1496ae8667b59daa63`
includes master `3447609d2247e75e55d91493dda91a608364f672` (2026-09-28).
Two master advances during verification overlapped the eval catalog; the
final merge preserves Grok qualification, completion updates, and
bounded API-response reading in all 348 cells. All 77 focused
catalog/eval/workflow tests pass. Both native stack layers (#14397) are
mergeable, and both exact-head Greptile reviews are 5/5 with successful
security scans and no unresolved review threads. All current-head CI is
green: 56 successful checks/statuses and four intentional skips ([CI
run](https://github.com/paperclipai/paperclip/actions/runs/36447097232)).
Trunk code-owner requirements remain enforced. The review summary’s
non-blocking saved-asset offset classification note concerns code
already merged in #14301; those runtime files are identical to master
and outside this stack’s diff. Historical live evidence below retains
its original source revisions.


Earlier integration checkpoint:
`24fc9b94ca0afb21ccdc8d26dbb2e4b258ad72cb`. Refreshed against master
`0f14d2612`, preserving Grok qualification alongside the new accounting
and lifecycle suites. All 124 focused catalog, evidence, and
service-worker checks pass. The current base workflow includes the
explicitly selected public-install verification lane; follow-up #14024
supplies its verifier script. CI at that earlier checkpoint was green
(56 successful checks/statuses, four intentional skips), and the review
is 5/5 with no unresolved findings. Prior feature CI at
`fd73f0a9b1ecdf4094685054028df71739ddc3e1` passed ([run
36148259902](https://github.com/paperclipai/paperclip/actions/runs/36148259902));
that is historical evidence, not a current-head result.

Paid Product measurements use frozen integrated source
`2d939a92b21dcaf5c77c88b54d96784d2ddd0699`, which combines the feature
with #13973, #13977, and #13979. That source passed all 52 CI checks and
clean 5/5 review. Later master syncs incorporate upstream changes. Their
checks remain separate from these pinned live measurements.

| Check | Result and source-pinned report |
| --- | --- |
| Subscription protocol roster | [39/39 first attempts; 206
assertions](https://d1p6rlowie26tp.cloudfront.net/runner-protocol-evals/campaigns/gha-36046839612-1/index.html),
runtime `bc6833f7`, evals `92bb4b8c` |
| API protocol roster | [39/39 first attempts; 206
assertions](https://d1p6rlowie26tp.cloudfront.net/runner-protocol-evals/campaigns/gha-35926577007-1/index.html),
runtime `4a1061c8`, evals `3213dbec` |
| Subscription full Product matrix | [16/16 first attempts; 144
assertions; cleanup
passed](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36096908572-1/index.html),
source `2d939a92` |
| Subscription core repetitions | 18/18: tool use, planning approval,
and Stop/resume each passed three times in local and Daytona profiles.
The full matrix contains repetition one; [repeat
two](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36104551060-1/index.html)
and [repeat
three](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36108100404-1/index.html)
each passed 6/6. Total: 28 unique subscription attempts at `2d939a92`. |
| API smoke and question continuation | [4/4 first attempts; cleanup
passed](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36147315401-1/index.html),
both environments at `2d939a92` |
| Historical API Product coverage | [16/16 full
matrix](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-35875144860-1/index.html)
and 18/18 core repetitions at `4a1061c8`; retained as measurements of
that revision |
| Native Daytona proof | Three subscription and three API
MCP/permissions/resume runs passed at `bc6833f7`. Three expired-login
admission and fenced refresh checks passed without inference. All test
sandboxes were removed. |
| Inspectable artifacts and UI | Current-source screenshots verify
planning approval, direct Ask completion, question continuation after
controller restart, and two downloadable project revisions. The project
downloads pass 12 and 18 tests; all 40 independent artifact oracle
checks pass. |
| Provider-free checks | 116 eval-validator tests, 39 Grok definitions,
and 359 enabled/external campaign cells pass. Continuation regressions
above 2 MiB and 16 MiB failed before their fixes; 32 focused
recovery/ownership/size checks pass. |

The 32 unique current-source Product attempts have no failures, retries,
or skipped cells, and all cleanup checks pass. Whole-workflow timing,
model identity, image and provider-pack provenance, attempts, and
accounting coverage are retained in the canonical reports. The report
publisher's conservative `complete=false` flag is preserved; independent
audits verify the exact selected source catalog and immutable result
rows.

Pins: Grok Build `1.0.13 (5e9a58528b76)`, ACPX `0.13.1`, ACP model
`grok-4.7`. Linux binary SHA-256:
`edf79521581bb5e6b95abef848491a6a742e860da3e237ebe86a280d30dce4c1`.
Launcher SHA-256:
`f0b698395a3704ed2ffaf84ea19bdb20c36c8a0a70b7c629c7b6ffe144e59e55`.
Image:
`ghcr.io/paperclipai/paperclip-daytona-runner@sha256:76b24edfd850219e949418b19e4ceba690e84d51d199ade426e484953329b5e9`.
Image build source is `4196a4cd`, recorded separately from application
source `2d939a92`; each campaign verifies the image signature and
provider pack.

Original failed campaigns remain available: [continuation
bound](https://github.com/paperclipai/paperclip/actions/runs/36057718059),
[scheduler/event
capture](https://github.com/paperclipai/paperclip/actions/runs/36071063537),
and [startup cleanup plus EC2
interruption](https://github.com/paperclipai/paperclip/actions/runs/36080870743).
They retain their original grades. No Docker or Rust builds ran on the
developer laptop for these follow-ups.

## Risks

Merge packaging follow-up #14024 with this base before public release.
The follow-up replaces the private Grok bridge package with a built-in
launcher and makes the native binary an explicit sandbox prerequisite.

Three separate, reviewed fixes are part of the tested integrated
behavior: #13973 serializes task-run admission; #13977 captures complete
event evidence; #13979 durably reconciles failed Daytona creation. Each
has green CI and clean 5/5 review. Failed-create recovery has 277 plugin
tests, 92 SDK tests, host-runtime recovery tests, and a real Daytona
lost-deletion-receipt proof. The live proof uses a private file for
journal persistence; database durability is covered by host tests.
Worker death before delivery of a failure envelope remains outside that
recovery mechanism.

Subscription fixtures stage an authorized company login; interactive
browser sign-in is not qualified. Local Product profiles ran on EC2
Linux. The temporary subscription credential was removed from the
protected GitHub environment after all subscription audits, with absence
verified. Runtime homes and refresh copyback remain ownership-fenced.

Protocol results remain pinned to their original revisions; they are not
relabeled as tests of the latest feature commit. New binary/model
versions require qualification. Missing token usage and model cost
remain unknown; runtime estimates do not establish a full bill.
Automatic paid Grok scheduling remains disabled pending separate
reviewed enablement. The 64 MiB bound can increase memory use for
verbose sessions, and larger files still fail closed. No automatic
legacy-agent migration occurs.

## Model Used

OpenAI GPT-6 through Codex, with tool use and code execution. The exact
serving model identifier and context-window size are not exposed in this
session.

## 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

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-28 13:54:36 -05:00
2026-03-07 02:57:28 +09:00

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

MIT License Stars Star History Rank Discord



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 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
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 organization 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-Organization

One deployment, many organizations. 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-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 .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 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


License

MIT © 2026 Paperclip Labs, Inc

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