DottaandPaperclip ebed7f5237 test(evals): protect Antigravity setup and two-turn delivery (#18190)
## Thinking Path

> - Paperclip manages agents and their work.
> - A provider integration must work through ordinary agent setup and
task controls.
> - The recorded Antigravity walkthrough exposed setup, delivery, and
continuation failures.
> - A repeatable check must verify real work and retain failed attempts.
> - This pull request converts all 47 recorded steps into one fixed
Product E2E journey.
> - Maintainers can rerun the case and inspect independent delivery,
cleanup, and accounting evidence.

## Linked Issues or Issue Description

Builds on merged #18187, #18188, and #18189, and consumes the shared
repairs from merged #18230 and the equivalent manual-policy declaration
from #18222. Refs #18214 for the CI task wrapper. Refs #12503 and #14938
for related legacy adapter work.

**Agent or provider**

Google Antigravity native Runner with a saved managed Google
subscription and the exact Low model.

**Why this adapter is useful**

A user must be able to add an agent, connect its account, and receive
real task results across a follow-up. Picker visibility alone is
insufficient.

**How the agent is invoked**

A fixed Playwright driver uses ordinary product controls. The agent runs
through native ACP. Independent checks use public APIs, actual
downloads, owned process observations, and native lifetime fences.

## What Changed

- Register one explicit-only case:
`antigravity-agent-journey.runner-antigravity.local.saved-subscription-two-turn`.
- Map all 47 source steps and declare saved-account prerequisites,
finite limits, and same-host macOS ARM64 scope.
- Create an agent through the ordinary picker, connect the saved
account, select Low, run Test, and wait for readiness. Save an
instruction marker, deliver a file, and update it through an ordinary
follow-up.
- Require each run's visible completed file activity, exact downloaded
bytes, committed Done result, same tagged conversation, distinct
physical owner birth, released lease, and free native fences. Verify
reload persistence.
- Stop failed native runs that still own a retry. Replay an existing
Stop with its durable request identity and wait for the matching audited
acknowledgement. A terminal reservation without a native intent remains
unconfirmed.
- Keep private evidence in the existing result, report, dashboard, and
accounting pipeline. Retain the paused QA agent and financial history
while preserving the shared account and budget policies.
- Journal only the ordinary wizard's future ID, target, name, intended
harness and expected creator before forwarding its POST unchanged. Bind
the response and interrupted recovery to exact identity reads; a pending
404 stays unconfirmed.
- Serialize private resource snapshots through temporary-file fsync,
atomic rename and directory fsync. Abort forwarding on storage failure
and preserve legacy receipts. If later journal or diagnostic writes
fail, retain the primary error, always close the browser, and attempt
the ordinary failed report.
- Add production-component browser controls and harden task-menu
readiness, alias selection, scroll restoration, failure packaging, and
one hermetic auth-test budget.
- Wait for the existing GitHub recovery fixture to register its next
deadline before asserting the original range; preserve its
nested-transaction and zero-request checks. In the decision-expiry
fixture, verify the exact saved expiry separately from the earlier
global wake of another queue.

## Verification

- Fresh registered acceptance passed on eval source
`9060f3cd01b7c3445ecdf703d72e9cf30fe42b59` and merged serving product
`61bd4ac6919c2309f766a25e62273b074cee3261`. It completed ordinary setup
and two turns with native `.5` and `gemini-3.8-flash-low`. All 16
matchers, 14 checkpoints, and cleanup passed in **165,613 ms**. Actual
downloads were **61 bytes** and **119 bytes**. Both turns passed their
own run-bound browser activity checks and reload persistence.
- Independent read-back confirms Done, a paused retained agent, the same
connected saved default account, and no active owned run. Both accepted
results have the same full tagged conversation and distinct primary
process births. All 21 observed processes retired; both leases released
and all three native fences were free after each turn. The selected `.5`
checkpoints also showed equal agent/backend session IDs; this is an
observed case requirement, not a generic ACP invariant.
- Receipts report 339,273 input tokens, 7,224 output tokens, and 202,846
cached input tokens. Subscription prices are unavailable. Billing
coverage remains incomplete, not free.
- The normal report CLI passed. All 310 files from nine original
attempts and two separate recoveries retained their hashes. The twelve
current screenshots are byte-identical, and 194 local report links are
contained and valid. The eight earlier reports were copied without
regeneration.
- Delivery source `1bf4fb04df04710b82844b3c9355767f46b5f68f` branches
from `d3f2a60e795fc60d64c8b19d1eed4d48657d5492` and merges cleanly with
current master `1d571de5f9f886d66e520800baec8fc2f67d0948`. All 41 prior
`c8b332` authored file blobs remain identical; the 42nd path is the
decision-expiry fixture contract correction. Creation ownership, the
strict durable writer, and the ordinary successful workflow remain
unchanged. Of 43 measured file blobs, 30 remain identical. The
Antigravity oracle, artifact, billing and report gates and its
suite-specific validation block remain unchanged. The actual retained
agent matches its original creator; its original request `setupId` was
not captured and is not reconstructed.
- Later master changes include model-visible workspace guidance and
rejected-terminal-report handling. Their bounded source assessment is
separate: the first actual finish failed, then a same-turn replacement
was accepted and committed. Later read-only results match both original
native-result hashes, and the complete event catalogs have no
`session.failed` event. Master #18228 also expands detection of explicit
JSON file requests. The measured create/update-and-attach `.txt` task
already required publication under both parsers; the publication
validation gate itself is unchanged. Master #18240 changes remote
workspace cache staging and adds an OpenCode index refresh. The selected
local lane returns before those paths. Master #18213 adds optional
numeric turn timing and trace boundaries. Its selected Antigravity
model, text, IDs, result and retirement semantics remain unchanged in
the bounded source review. Local diagnostic rows and awaits can change
event ordinals and latency; the oracle checks relative semantic order.
Collector coverage and latency improvement remain outside this proof.
This does not claim that the whole current runtime is byte-identical to
serving `61bd`, or relabel the measured result as a new run.
- The adopted upstream cache controls passed 3/3 with pinned real Turbo.
Forced work disables local and remote reads and writes; ordinary work
reuses local results. The original genuine-pnpm/Turbo controls remain
historical to `9060`'s earlier write-only policy. The duplicate cache
patch is superseded by #18230. Its qualification-only pnpm addition is
removed because the adopted upstream controls do not require it.
- The E2E typecheck, map checks and 277-control replay are carried from
the unchanged eval source paths. That replay passed, including the 183
Antigravity controls, catalog/connection checks and the separate
product-journey validator. The carried creation controls include 91
config/recovery cases. The final launcher suite passed 19/19, including
five real campaign finalization fault cases; the report suite passed
7/7. These final checks did not rerun the earlier 277-control group. The
canonical production-component browser spec passed in 27.4 s under its
unchanged 60 s limit before the replay. Four paused-composer cases and
the product base's build/typecheck plus 376 focused regressions were
verified earlier.
- The shipped wizard and actual API client cover persistence before
forwarding, lost response JSON, foreign/malformed requests, wrong
response identity/creator and cleanup-error preservation. Real
filesystem controls failed 5/5 before the writer repair and passed 5/5
afterward, preserving the old journal on partial-write, temporary-file
sync and rename faults. Three persistent-sync campaign controls failed
before the finalization repair and passed afterward. All five final
campaign fault cases preserve the primary failure, cleanup failure,
usage and failed report while attempting browser closure. The strict
journal still blocks the next mutation. These are provider-free
ownership controls; the Google task proof remains the original `9060` →
`61bd` acceptance.
- The decision restart check passed in the local 20-case fixture run. A
current-source real-PostgreSQL rollback control reproduced the exact
90,000 ms earlier global wake: the old equality rejected it, while the
exact durable expiry and new future-wake bound passed. The original 60 s
open-state, exact-timestamp, continuation and quiet checks remain. The
broader local run was **FAILED: 19 passed / 1 failed**, with a 15 s
timeout and a 30 s cleanup timeout in an unchanged timestamp-pagination
case. That case passed in canonical `c8b332` CI; the local timeout cause
remains inconclusive. An extra local server typecheck failed against
stale cached Runner declarations; it did not check this excluded test
file. Both limits remain recorded for fresh canonical CI.
- A broader local GitHub recovery group passed 21/22. Its unchanged
pagination case observed an unexpected config request; the log does not
establish the cause. That result remains retained, and fresh
current-head CI is the final broader gate.

- Exact delivery-head CI completed with 55 successes, two skips, and one
optional neutral review. Required `ci / verify` and `ci / e2e`, build,
typecheck, and Runner checks passed. Fresh Greptile is 5/5 with zero
unresolved threads. Optional Paperclip is neutral 4/5; its carried
recommendations are dispositioned against the public Stop contract and
selected live identity evidence.

Seven earlier converted attempts retain their failed grades and partial
evidence. Historical Paid8 and its later read-only per-run UI
observation remain separate from the fresh acceptance above. Unknown
prices and the older partial startup accounting remain explicit. Full
lineage and raw evidence remain private in the normal report bundle.

## Risks

- This case requires an authorized saved personal default Google
subscription and finite operator candidate admission. It does not test
fresh OAuth or establish global qualification.
- The physical observer supports a same-host loopback macOS ARM64
target. Cloud, Linux, and other models remain outside this case.
- A known-cost stop cannot cap missing prices or in-flight subscription
charges. Existing operator policies remain unchanged.
- Raw account/native identities stay private. Missing retirement proof
keeps resources retained. The selected cleanup mode does not test agent
purge.

## Model Used

OpenAI Codex (GPT-6). The host did not expose the exact model revision
or context limit. The model used tools for code edits, tests, browser
automation, and review.

## 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>
2026-10-29 19:51:32 -05:00
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. 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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