DottaandPaperclip d67e3507b2 feat(runner): qualify Codex platform packages and cache hosted builds (#16028)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Native execution needs a compatible installed daemon and provider
dependency.
> - The Codex-default work found missing platform packages and
clean-install startup failures.
> - Release builds also repeat dependency compilation and run
preparation serially.
> - This prerequisite packages four daemon targets and verifies
installed native startup.
> - It also caches hosted Cargo dependencies and overlaps JavaScript
preparation with compilation.
> - Agent creation defaults and experimental gates stay at the current
master behavior.

## Linked Issues or Issue Description

Refs #15683. Refs #15555. Refs #15422. Refs #15926. Refs #15932.

Extract runtime and installation support from #15683. This prerequisite
has 65 changed files. Creation, onboarding, imports, UI runner selection
and graduation remain in the dependent PR. Feature/access maps and the
Storybook source catalog stay synchronized. Existing agents keep their
execution choices.

## What Changed

- Correct the existing runner test fixtures. Reserve owned credential
quorum listeners through the existing bounded fixture helper. Keep
foreign listeners intact, run actual credential staging once, and
preserve its rejection and unchanged-auth assertions. Reuse the
durable-resume outer-limit correction. Wait for actual warm-completion
and held-authorization callback entry under the existing recovery
deadline and surface early request errors. Preserve every semantic
assertion.
- Retain bounded installation failure diagnostics through the existing
qualification receipt upload. Keep the original error, 10-minute
deadline and all success checks.
- Keep startup ownership until credential preparation and registration
drain. Reject duplicate and post-close startup/resume work. Observe
shutdown during normal and adopted authentication readiness. Preserve
the primary failure and retain private state when cleanup is
unconfirmed.
- Package Linux x64/ARM64 and macOS Apple Silicon/Intel daemons. Verify
target headers, source identities, manifests, and hashes before assembly
and installation.
- Reuse the existing release producer/consumer workflows. Cache Cargo
dependencies by target, OS, compiler, lockfile, and contract inputs.
Rebuild workspace binaries. Permit trusted cache writes only for
canonical exact-source master pushes.
- Overlap JavaScript preparation with native compilation. Join both
commands and failure/cancellation cleanup before artifact verification.
- Preserve shell positional arguments in the shared SSH runner and apply
environment assignments correctly. Reject environment option keys. Six
before/after controls and two real SSH subprocess paths pass with zero
provider calls; this fix lands before both Codex and Claude defaults.
- Admit verified suspended SSH backups during cold controller
continuation, using the same full-scope, integrity and lifecycle checks
as sandbox targets. Two positive SSH cases fail before; all 14
positive/negative matrix cases pass afterward. Active ownership and
corrupt/malformed/nonempty state remain rejected.
- Record measured sandbox platform facts through the existing explicit
environment probe. Bind facts to the company, effective provider
configuration, immutable OCI image and actual captured image binding.
Check the returned cleanup receipt. Reject client-authored proof and
stale or named boot identities. Creation and discovery allocate nothing.
Preserve connection-only behavior.
- Resolve the actual remote Codex target and preserve same-host
development overrides. Preserve runtime artifact verification. Use
actual protocol/model compatibility rather than a numerical CLI version
fence.
- Resolve the installed Codex login dependency on 64-bit Linux and Mac
independently of the daemon libc baseline. Preserve account homes and
safe errors.
- Fix actual clean-install TOML table comparison. Preserve strict
semantic checks, comments, private writes, and malformed-input
rejection. Preserve primary startup failures and bounded cleanup.
- Document GNU libc 2.39+ and stock Ubuntu sandbox prerequisites.
Qualify ARM startup with a scoped distribution profile and unchanged
global restrictions. Preserve Windows and Alpine deferral.
- Preserve selected and saved native Codex reasoning effort in the
existing UI builder, while excluding it from other providers. This small
shared correction prevents import edits higher in the stack from
dropping effort.
- Reuse existing installed-package checks and assertions. Paperclip
tarballs contain no Codex native payloads. Official npm dependencies
supply the consumer's Codex binaries. All Docker and native builds stay
remote.

## Verification

Candidate: `271d434c170e74bdedde65d0b13059a55419c943`. It includes
current master `e168512f7bdbb6af6ea01954c6d7ed80b91e903e` and preserves
prior candidates through ordinary commits.

Current [full
CI](https://github.com/paperclipai/paperclip/actions/runs/38346601686)
is successful on attempt 2. GitHub reports 54 successful checks and four
conditional skips, including required verify and browser aggregates,
workspace typecheck/tests/build, Linux DB controls, both runner shards
and [isolated native
compilation](https://github.com/paperclipai/paperclip/actions/runs/38346601609).
Fresh current-head Greptile is 5/5 with all four threads resolved. The
passing build's clean Grok/Codex report records CI merge source
`7a82a37438e6e448abc7cc5caa60dc2519a97be0`, 18 installed packages,
omitted Codex payloads, official host-only npm dependencies and zero
provider calls. Pi setup and its no-prompt lease verification also pass.
The first attempt's single 60-second Node archive download timeout
remains retained; its DNS/TLS/download cause remains unknown. One
unchanged-source retry was requested through the normal Build-job dialog
with debug logging disabled. GitHub's attempt 2 graph reports the other
CI jobs as well; no second retry or source/deadline relaxation was made.

The [final exact-source package
campaign](https://github.com/paperclipai/paperclip/actions/runs/38347027535)
is successful on literal `271d434c170e74bdedde65d0b13059a55419c943`. It
passes all four native producers, public Linux package assembly and
clean installed consumers on Apple Silicon, Intel Mac and Linux ARM64.
The nine qualification-mode skips are intentional; full CI above covers
their ordinary gates. Native builds and Docker assembly ran remotely.
The predecessor [`dae808` package
campaign](https://github.com/paperclipai/paperclip/actions/runs/38342104102)
remains literal historical evidence. Only tests and the dated record
differ from that source; runtime, package and workflow code is
unchanged. The reused credential fixture correction passes all 42
canonical Node 24 controls with synthetic data and independent
matching-source review, and the current hosted runner shard passes.
Production credential behavior is unchanged.

**Merge hold:** current-source CI, fresh 5/5 review and exact-source
package qualification pass. Actual code-owner approval and normal
protected merge remain pending. No slice has merged or deployed. GitHub
CLI authentication needs refresh; the normal signed-in embedded GitHub
UI provided this status without credential workarounds.

- The master merge preserves both Storybook source-review appendices and
the guarded test-home cleanup. All six existing cleanup controls pass
without skips. Master's isolated-home helper/test/setup are
byte-identical. The two existing whitespace lines in master's unrelated
privacy test remain outside this PR's diff.
- Canonical Node 24 passes all 24 existing public-install helper tests.
Three narrow added cases prove bounded/redacted failure metadata,
symlink exclusions, original exception identity, failed diagnostic
writes and no false failure on success. The Mac installer now uses
`--timing`; at most two 16 KiB tails and 32 structured entries per tail
enter the existing receipt upload. Raw argv, URLs, environment, error
text and stacks are omitted. A failed receipt explicitly remains
FAILED/unqualified/runtime-not-attempted. The 600,000 ms install
deadline and every real package/hash/payload/lock/lifecycle/runtime
oracle are unchanged.
- Canonical Node 24 reproduces the durable-resume outer timeout under
controlled fake latency. Only its outer test limit changes to 15
seconds; internal 500 ms/5 second deadlines and usage/effect assertions
remain. Controlled warm-recovery and before-bootstrap authorization
scheduling delays reproduce their callback polling failures, while the
explicit entry signals pass. Early recovery errors surface unchanged.
Independent review is clear. Historical mock binaries support the
fixture controls; fresh full hosted CI remains decisive. The original
hosted callback failure cause is inconclusive.
- The composed runner/surfaces/server/E2E TypeScript checks pass. Map
checks pass 35 areas/171 capability IDs. Token gates pass. The existing
Storybook catalog passes 223 files/2,210 stories; story IDs and
classifications remain intact. The current master had 25 inherited stale
fingerprints from three changed map recipes. Only those guarded
fingerprints and a source-only review note change; all 92 non-map
story/component/fixture inputs remain unchanged. Existing
classifications are retained. This proves source structure, not visual
or live acceptance.
- The 65-file contribution audit has no code file crossing from below
1,000 lines to above the limit. Earlier comment cleanup preserves
executable emissions, parsed workflows and action pins. Independent
cleanup/catalog and three-file reporting reviews are clear. No new
workflow, suite, grader or local native/Docker build was added.

**Prior `dae808` gate evidence:** fresh Greptile is 5/5 with four
resolved threads, isolated native compilation and the browser aggregate
pass. Its first runner shard passes the previous two corrections but
fails a different held-authorization cell at the implicit one-second
polling deadline. It records 1,672 passes/one failure/three skips. This
candidate applies the verified entry-signal correction without changing
production deadlines or any semantic assertions. Its original hosted
cause remains inconclusive until fresh CI.

**Previous-source evidence, kept literal:** the [exact `16a532` package
campaign](https://github.com/paperclipai/paperclip/actions/runs/38338806076)
passes all four native producers, public Linux package assembly, Apple
Silicon, Intel Mac and Linux ARM64 installed consumers. Its fresh review
is 5/5 with all four threads resolved. Full CI records 52 successful
checks, four conditional skips and the two fixture failures corrected
here. This is not a green full-CI candidate or proof for the new source.

`64c074fb8da1b31f8d6042c4fef48dc4164e759b` passed [full
CI](https://github.com/paperclipai/paperclip/actions/runs/38332726938),
54 checks/four conditional skips, [isolated native
compilation](https://github.com/paperclipai/paperclip/actions/runs/38332726787/job/115085895328),
and fresh Greptile 5/5/all four resolved threads. The hosted transport
suite passed 246 tests and startup trust passed 22, closing that
source's local fake-binary limitation. These are historical after
reconciliation.

The [previous exact-source package
campaign](https://github.com/paperclipai/paperclip/actions/runs/38332921463)
built all four platform daemons and passed public Linux package assembly
plus Apple Silicon and Linux ARM64 installed consumers. **Intel Mac
failed:** its initial scripts-disabled npm install timed out before
lifecycle/runtime assertions. The underlying download/resolution/host
cause is unknown because the old helper deleted the npm logs. This is
the concrete baseline for the diagnostic change. The failed campaign
remains failed; no all-platform signoff or automatic retry is claimed.

The earlier `a200495` [four-target
campaign](https://github.com/paperclipai/paperclip/actions/runs/38283695248)
and [scoped ARM
qualification](https://github.com/paperclipai/paperclip/actions/runs/38291535914)
remain component evidence. Cargo restores were cold misses; no
warm-cache speedup is claimed. Paperclip tarballs contain no Codex
payloads. Official npm dependencies supply Codex on the user's platform.

Current-source full workspace typecheck/tests/build, Linux DB controls,
static/Rust/native tests, all browser shards and exact-source package
consumers must pass. New-agent defaults and final managed onboarding
belong to #15683. Actual private Cloud composition, warm/cold signup,
task/follow-up and rollback compatibility remain later release gates.
Source audits found that ordinary managed onboarding does not run the
saved platform probe and Cloud distributes named snapshots without a
verified final boot-image binding. These dependent release blockers
remain open; prequalified E2E fixtures do not close them. Master adds
task-workspace migrations; the final image/migrator and previous-image
checks must include them. ARM paid task/follow-up and ordinary OS APT
installation are not proven.

## Risks

- Multi-target packages require source and header agreement. Missing or
mismatched artifacts fail explicitly. Existing execution choices remain
unchanged.
- Linux requires GNU libc 2.39+ and compatible sandbox prerequisites.
The scoped hosted ARM preparation does not qualify arbitrary containers
or kernels. Windows, 32-bit ARM, and Alpine remain deferred.
- Only dependency crates are cached. Preview jobs cannot write trusted
caches. Concurrent command cleanup must preserve the primary failure.
- Native-free Paperclip packaging retains official Codex npm
dependencies. No Codex payload bundling, schema migration, automatic
agent migration, or production deployment is included.

## Model Used

OpenAI Codex, GPT-6 family, with reasoning, repository tools, code
execution, and parallel agents. The exact serving model 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 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>
2026-10-13 06:24:07 -05:00
…
…

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

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Star History Rank


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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