DottaandPaperclip adb69e8f09 feat: default new Codex agents to Paperclip Runner on Linux and macOS (#15683)
## Thinking Path

> - Paperclip is the open source control plane for agent companies.
> - People choose a harness when creating an agent.
> - The server should resolve that harness to a qualified runner.
> - Codex is the first harness in the staged default rollout.
> - Saved agents must retain their execution choices.
> - New Codex agents therefore use Paperclip Runner on qualified
macOS/Linux targets, with an explicit Legacy override.

## Linked Issues or Issue Description

Refs #16028, #15555, #15673, #15422, #15631, #15926, #15932, #16149.

The runtime/install prerequisite and release repair are merged. This
slice owns Codex creation, setup, configuration and preservation. Other
harness defaults remain unchanged. It adds no database migration;
incoming master migrations, required maps and regression coverage are
retained.

## What Changed

- Resolve `runner: auto | paperclip | legacy` at the common creation
boundary across onboarding, API/CLI, hires, built-ins, plugins and
imports. Freeze pending hires and export resolved execution choices.
- Preserve existing runners on upgrades, unrelated edits and import
updates, including compatible accounts, workspace settings, Codex effort
and intentional clears.
- Use the underlying harness picker and branding; put the runner
override in Advanced. Use the shared dropdown and update
production-component stories and creation contracts.
- Support qualified Apple Silicon, Intel Mac, Linux x64 and Linux ARM64.
Linux requires GNU libc 2.39+. Disabled, external, unsupported and
unqualified combinations retain their applicable Legacy execution.
- Test the selected runtime/account/model/environment. Ordinary Connect
probes eligible immutable managed targets and refreshes scoped
discovery. Creation/discovery do not provision. Auth, dependency,
incompatible-setting and cleanup failures remain actionable without
changing runners.
- Keep setup probes read-only, preserve local/SSH isolation and resolve
packaged assets before staging credentials. Bound cleanup reads by the
remaining absolute deadline; physically close every owned ingress socket
before endpoint release. Unconfirmed cleanup retains recovery state.
- Preserve validated completed-onboarding callbacks through startup
recovery. First file-producing work belongs to the child task and uses
the existing dependency/block handoff and task-scoped registration.
- Reuse existing E2E fixtures, artifact checks, reporting and controls.
Keep Docker/Cargo/native compilation remote. Paperclip tarballs contain
no Codex payloads; official optional npm platform dependencies remain.

## Verification

Current tested head: `1c03a8815672d82c264a9b08d4ea1984e8fae107`.
**Merge-ready: required CI, fresh review, package qualification, Mac
core acceptance and Test task/follow-up acceptance pass.** The existing
attachment and native-continuity oracles independently verify both Test
downloads, run attribution and unchanged native/provider/workspace
identities. The maintainer authorized a code-owner-review exception for
this PR only. The first Test setup failure and normal Board
completion-review friction are retained below. Actual post-merge
packages and private Cloud distribution remain separate qualification
gates.

- [Current
CI](https://github.com/paperclipai/paperclip/actions/runs/38564241625):
all 48 ordinary jobs and required verify/E2E pass. Attempt 1 retained
six simultaneous host-shutdown cancellations. One failed-only retry
passes those six lanes and two aggregates, preserving 40 successes.
Actual integration checkout `53104c1` combines this head with master
`c80`; it is not relabeled as the branch tree. Fresh exact-head Greptile
5/5, 30 resolved threads, no actionable findings.
- [Exact-source package
qualification](https://github.com/paperclipai/paperclip/actions/runs/38565287239):
nine applicable jobs pass, nine conditional jobs skip. Four remote
native producers; Linux x64 clean install; Intel Mac, Apple Silicon and
Linux ARM64 native startup/physical cleanup controls. All 18
tarballs/four daemon source/hash/manifest bindings and 343 migrations
through 0344 verify. No Codex payload is packed. These hosted tarballs
are not a published npm canary.
- Normal Apple Silicon installation and credential-free native
startup/cleanup pass using the packaged daemon, with no source build or
provider turn. Fresh installed DB initialization passes. Upgrade
651a→1c03 preserves all three complete execution configs, accounts, ten
recorded run profiles, paused budgets, active incidents, cost summaries
and two historical unpriced events. Historical recovery state is
retained.
- Cleanup regressions: four delayed-read baseline failures become 15
passing deadline/authority controls. No-acknowledgement and prior-error
socket ownership regressions become 12 passing controls. Direct
runtime/server types, maps: 35 areas / 176 IDs, diff checks and
independent reviews pass. Permission/auth/reconnect policy and the
10-second setup budget remain intact.
- Existing source coverage includes creation/selection/imports, pending
approvals, recovery, account/lifecycle handling, mounted forms,
dropdowns and E2E support. Full typechecks/tests/build/token and
applicable Storybook checks pass in the recorded current CI; no
duplicate suite or weakened grader.
- Literal 9546 live Mac proof: ordinary Auto Codex onboarding, useful
document, real completed-child callback/reply, seven successful native
runs, manual follow-up and independently downloaded1,101-byte child
file. Existing Legacy title edit/reload preserves execution; two real
Legacy runs produce independently checked15/34-byte files. These remain
historical source records.
- Current literal 1c03 Mac core acceptance passes independent checks:
ordinary Auto native Codex onboarding without runner override; only
timeout 180 seconds/concurrency 1 saved; six successful native runs and
six serialized turns (maximum overlap 1); both same-task continuity
checks and five mechanical callback checks; actual rendered parent reply
and exact child downloads. The useful handoff advances from revision 1
to 2. Both files are 48 bytes, SHA-256
`8b742bd4e8123a7c078f0a8d9f3449fbfa8a320d7d90be641a2818db3c53d92c` and
`f42db9774fa06e804ab7d596fc8b922a2b638921c418b87d0111151d290a6afe`;
exactly one byte changes and old history remains. The agent is paused
with zero active runs/errors. Both artifact work products have
`isPrimary=false`, and descriptive titles fail a stricter title-helper
assumption; these retained results are scoped editorial follow-up, not
new merge gates. Six source-bound screenshots are uploaded and verified
in the private primary QA report.
- [Literal 9546 managed
proof](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-38485488621-1/index.html):
original 19 assertions and completed judge pass, four native turns,
child-bound240-byte file and session/workspace continuity. Checkout
reports a verified generated target-lock mutation; full final porcelain
was not retained. Signed execution-image identity remains separate from
Core source.
- Actual 651a Test deployment succeeds on one owned/pinned target. One
ordinary Auto API-key Connect then fails native cleanup before hire.
Controller turn/drain/suspend completion and service-recorded
environment cleanup are observed; they do not certify physical deletion
or native authority retirement. Failure/recovery/unknown holds are
retained. No Legacy switch or unchanged paid retry. The two source
repairs above require actual treatment.
- [Current immutable Core
preview](https://github.com/paperclipai/paperclip/actions/runs/38570365725)
and matching DB/shared artifacts pass. One owned, pinned Test target
serves exact `1c03`; identical migration history correctly skips the
migrator. Ordinary Auto Codex Connect succeeds and hires native; saved
native selection and QA bounds survive reload. The initial child
preparation attempt fails before provider work, with actual stdout
identifying `renewal_deadline`; its trigger remains unknown and the
failure is retained. Normal Board **Try again** and **Resume** recover
the child to Done, producing a browser-verified 44-byte file, SHA-256
`0a8458b1efcc2d7a0d815689458c4caab039a46c7c7a3e5805de6bc8b1a96ecc`. The
actual parent callback reports the completed child document/file. The
existing validator requires a parent-owned attachment, so recovery
enters normal Review; after byte checking, normal **Approve completion**
reaches parent Done. No forced status or duplicate parent file is used.
The validator is unchanged from integrated and current master.
Autonomous initial callback-to-Done is not proven. The same-child
follow-up completes document revision 2 and publishes a second
independently downloaded 44-byte file, SHA-256
`22022257300fae762784632d08d3bbe0bab61e2ce81f91864a14dcd7aa464591`; only
the revision digit changes. The unchanged existing native-continuity and
attachment oracles pass. All ten recorded runs are terminal: nine native
successes and the retained pre-provider setup failure. The QA agent is
paused with zero active runs. The pre-existing parent evidence scope
mismatch is a separate follow-up, with ordinary completion review
exercised rather than a forced status or relaxed validation. This
unsigned Core preview remains distinct from post-merge private Cloud
composition.

## Risks

- Saved agents are not migrated. Explicit runner changes use normal
configuration/session rules; historical runs retain their recorded
execution.
- Native readiness depends on verified assets and server-owned target
qualification. A Legacy probe, HTTP200 or successful account save cannot
prove native readiness.
- Recovery exceptions remain restricted to validated
completed-onboarding reports; process-loss, ownership and terminal-state
safeguards remain active. Unexecuted live journeys stay open.
- Linux ARM paid tasks, Windows, Alpine and 32-bit ARM remain deferred.
Cold Cargo cache misses are recorded; no warm-cache speedup is claimed.
- Historical invoices/physical cleanup remain unconfirmed and held.
After merge, exact published npm canary, signed standard image/migrator,
private composition and serving/live acceptance still require
qualification. Production deployment/default promotion is not
authorized.

## Model Used

OpenAI Codex, GPT-6 family, with reasoning, tools, code execution and
parallel agents. Exact serving snapshot and context-window size are not
exposed.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used with available 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 linked public issues or PRs above
- [x] I have not referenced internal/instance-local Paperclip issues or
links
- [x] My branch name describes the change and contains no internal
ticket id
- [x] I have run the stated focused tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation
- [x] I have considered and documented risks
- [x] All Paperclip CI gates are green on the current candidate
- [x] Greptile is 5/5 with no open findings on the current candidate
- [x] I will address all reviewer comments before requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-10-14 11:33:02 -05:00
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Paperclip is the app people use to manage AI agents for work.

Quickstart · Docs · GitHub · Discord · Twitter · Website

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Sign up for the Paperclip Cloud waitlist →


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 and experimental pipelines 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, 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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