Files
PaperClipAI/cli
DottaandPaperclip dd777f4b73 feat(dot): complete onboarding and expand governed Runner capabilities (#15414)
## Thinking Path

> - Paperclip manages AI agents, their work, and their permissions.
> - Paperclip Runner supplies the same admitted tool authority to each
provider.
> - The Dot provider in #15402 needs reliable onboarding and useful
agent capabilities.
> - An idle Dot could not start work, assign a human, read skills, or
produce a workspace artifact.
> - Pairing also relied on a second configuration save before ordinary
admission could work.
> - This pull request adds governed idle admission and shared Runner
tools, and completes pairing atomically.
> - Operators can test Dot with fresh data while keeping normal company,
approval, budget, and run ownership checks.

## Linked Issues or Issue Description

**Subsystem affected**

Paperclip Runner, dedicated Dot MCP access, OAuth onboarding,
experimental settings, and empty worktree startup. This PR builds on
merged provider PR #15402. It reuses the merged MCP gateway from #14846
and assistant connection work from #14933 and #15380.

**Problem or motivation**

An idle Dot could see assignments but could not act on a conversation
request until someone created a task first. Its Runner catalog could not
assign tasks to humans or read pinned skills and workspace files.
First-time OAuth discovery and pairing also needed browser fixes, and a
completed pairing did not persist its binding reference on the agent.

**Proposed solution**

Keep Dot within the existing Runner. Admit a visible agent-authored
intake task for idle requests. Add people, human assignment, cross-task,
skill, and optional sandbox workspace tools through shared authority.
Relay assigned app calls through the configured MCP gateway. Add lease
renewal and follow-up references. Save pairing and its configuration
revision atomically. Show prerequisites and provide a complete copy
prompt.

**Roadmap alignment**

This extends the experimental provider in #15402. It uses the existing
governed gateway, task model, skills, artifact path, and native Runner.
It adds no separate execution subsystem.

## What Changed

- Add a standalone OpenAI Dot agent choice with an independent
experimental opt-in. It works with the general Runner option off.
Require Assistant connections (MCP), authenticated sign-in, and public
HTTPS for pairing.
- Use Dot’s own option for company package import. Allow an unpaired Dot
configuration to save after external billing acknowledgement; task
admission still requires pairing. Prepare the shared dev binary for
Dot-only opt-in.
- Label saved Dot agents as OpenAI Dot. Use prerequisite-check copy in
setup and runtime configuration.
- Route Dot creation directly to pairing after explicit external billing
acknowledgement. Hide local CLI, model, and harness setup for Dot.
Preserve the shared Runner implementation and canonical API type. Other
Runner providers still require their general opt-in.
- Add an empty worktree option with fresh signing keys and no production
data copy.
- Fix public-client OAuth negotiation, discovery compatibility, and
optional separate browser authorization origin.
- Add one-use pairing consent preview, clear copied setup instructions,
and atomic binding persistence and cleanup.
- Add idle request admission with stable request IDs and normal
scheduling, permissions, budgets, and task ownership.
- Add identity and people discovery, human task assignment and
reassignment, and authorized cross-task comments and documents.
- Read assigned skill files from pinned manifests. Relay assigned app
calls through the merged gateway without exposing credentials.
- Add an off-by-default workspace bridge. Constrain paths and writes.
Run commands in a deny-by-default OS sandbox with no network or injected
credentials. Reserve mutations before effects and never blindly repeat
uncertain work.
- Add rolling lease renewal, task pagination, bounded operation limits,
and deduplicated follow-up references without comment bodies in
webhooks.
- Add an off-by-default attachment reading setting. Restrict reads to
files on the current assigned task. Verify size and hash, cache bounded
verified copies per run, paginate text or binary bytes, and recheck live
authority before returning.
- Keep file grants operator-owned. Reject agent self-grants across
configuration routes. Preserve attachment consent in create/import
forms. Close generic API file bypasses while retaining current-run
response snapshots and permitted uploads.
- Keep provider limits explicit. Do not inherit a Dot binding,
attachment permission, or workspace permission when hiring another
agent.
- Include the required Markdown format in cross-task document writes and
validate the API title limit. Verify real creation and revision
persistence.
- Restrict command execution to Linux bubblewrap with descendant
containment. macOS retains workspace file tools and artifact publishing,
while refusing command calls. Explain the platform limit in setup.
- Exclude Paperclip instance state from workspace files, uploads,
artifact publication, and sandbox commands. Protect nested directories
and case variants. Fail closed when the directory protection scan
exceeds 4,096 directories.
- Add static UI compression for slow public tunnels. Document setup, the
complete tool inventory, and qualification limits.

## Verification

- Merge preparation on `00ca2c75b` integrates merged base #15402 and
master `fc6304dfe`. The ancestry commit preserves the reviewed follow-up
source tree. The subsequent security fix excludes instance state from
file tools, uploads, artifact publication, and sandbox commands. It
preserves private task authorization and task monitors. It regenerates
the combined tool catalog, seeded catalog digest, and protocol manifest.
Workspace typecheck, full build, and UI token gates pass. All sixteen
real Dot broker cases and 93 company import cases pass after the review
fixes and creator-attribution test correction. The exported
human-assignment catalog and Unicode page boundaries are also fixed. All
ten catalog tests and nine workspace/skill bridge tests pass. All 35
workspace bridge and authority tests passed after the instance-state
fix, including real macOS commands in that intermediate version. The
subsequent document and descendant-containment fixes pass 44 focused
tests across bridge, authority, and setup UI, with six Linux command
cases skipped on macOS. Real cross-task documents pass the route
validator and persist two revisions. macOS refuses command execution and
does not advertise the tool. Full workspace typecheck and build, changed
server/UI typechecks, and token gates pass again on the final commit.
Greptile rates final head 00ca2c75b 5/5 and its completed check
concludes success; all review threads are resolved. All 58 current-head
checks are complete: 54 passed and 4 intentionally skipped. This
includes full tests, typecheck, build, Runner, browser E2E, release
verification, and Canary Dry Run. The older full local root attempt
finished with 16,602 passes, 93 skips, and ten failures across two
suites: it began before source edits and retained earlier imported
implementations while loading later tests. Both suites pass a clean
final-head rerun (25 passed, six Linux-only command cases skipped on
macOS). This mixed-source full attempt is not a final-head full-suite
pass; use the fresh CI evidence below.
- Full workspace typecheck and build pass for the standalone Dot change
on head `392d54f80`. UI token gates are clean. The full workspace
typecheck passed before the final importer UI edit; the changed UI
typecheck, build, and token gates pass again on the final commit. The
server build passes for its unchanged final source.
- Standalone selection, creation, settings, harness visibility,
inventory, and runtime admission checks pass. OAuth onboarding and the
real Rust/PostgreSQL broker suite pass 27 cases with the general Runner
option disabled. Dot and MCP revocation still block pairing; other
Runner providers remain disabled. Create, hire, conversion, and
inherited-hire route regressions pass 68 cases. The runtime selection
suite passes 20 cases. The setup UI suite passes 50 cases. Company
import and dev binary checks pass 97 cases. Import UI checks pass 29
cases, including Dot-only selection, preservation of imported Dot
agents, generic Runner fallback, canonical configuration serialization,
and required billing acknowledgement. A read of the synthetic instance
reports the native binary required with Dot enabled, the general rollout
disabled, and no persisted native work.
- The latest attachment, operator-consent, generic API file-guard, and
bridge checks pass 80 tests. Cache and native lifecycle checks pass 550
tests; create/import builders pass 45 tests; attachment setup UI checks
pass 16 tests. The real Rust/PostgreSQL Dot broker suite passes 15
cases.
- Earlier authority, human assignment, pinned skill, confinement,
cancellation, inheritance, onboarding, replay, OpenAPI, and gateway
regressions pass their focused rechecks. Workspace writes reject
concurrent stale hashes.
- In the live empty test-drive, turn the general Runner option off and
leave Dot and MCP on. Add agent shows a separate OpenAI Dot choice.
Create rejects missing billing acknowledgement, saves the canonical Dot
configuration, and opens pairing. The existing paired Dot remains ready
and passes its prerequisite checks. No new plugin pairing was needed for
this UI change. The final browser import preview keeps a Dot source
agent as OpenAI Dot, falls back a generic Runner agent while its switch
is off, and offers Dot independently.
- Real Dot completed OAuth, signed MCP Events readiness, and an
event-only assigned document task in an empty synthetic instance.
Pairing saved its binding without a second configuration save.
- Real Dot verified human assignment, cross-task comments and documents,
pinned skill reading, sandbox commands, lease renewal, follow-up input,
and a downloaded artifact whose bytes and hash matched its receipt. An
idle conversation request created an intake, created a task for its
human owner, continued after a definite missing-file read error, and
finalized Done with exit code 0.
- After operator approval, real Dot read a synthetic assigned-task
attachment and wrote its file-only random proof into an agent-authored
document. Its first test required accepting review because the existing
document tool removed the final newline.
- On head `2626c8f9b`, real Dot read a 13,849-byte synthetic attachment
in two pages, used `expectedSha256` on page two, saved exactly its final
random marker, verified readback, and finalized Done with exit code 0. A
direct inbox check was required for this attachment qualification; it
does not claim event-only delivery.
- Previous head `392d54f80` passes all 55 checks (53 passed, two
intentionally skipped), including the full test, typecheck, build,
native Runner, browser, and release verification gates. Greptile rates
this head 5/5; all review threads are resolved.
- Head `2626c8f9b` passed all 56 checks: 54 passed and two intentionally
skipped. This includes full typecheck, build, native Runner, server
tests, serialized suites, browser E2E, and Canary Dry Run. The unchanged
Cursor managed-runtime test exceeded its five-second deadline on the
first attempt; its focused local suite passed all eight cases, and the
single CI rerun plus dependent verify gate passed.
- A prior full local serial test attempt reported 19 failures (16,141
passed, 88 skipped) and stopped before later wrapper groups. It began
before the final source edits. Every failed suite has a passing fresh
recheck; the macOS snapshot stress case passes alone in 227 seconds. The
previous head `000fb9261` passed all 56 CI checks. PRs leave
`pnpm-lock.yaml` unchanged; CI and the refresh bot own dependency
resolution.

## Risks

- Dot remains off by default. Its own opt-in does not enable other
Runner providers. It still requires the MCP option; disabling Dot blocks
new work while keeping existing recovery and saved bindings.
- Dot requires a stable public HTTPS origin. Its base provider in #15402
is merged. Temporary tunnels are useful for testing but are not
permanent deployments.
- Idle intake creates a visible agent-authored task. It does not
fabricate a human message or bypass ordinary admission.
- Workspace commands require Linux bubblewrap with a private PID
namespace; deployment qualification is still needed. macOS file tools
and artifact publishing remain available, but commands are disabled
because sandbox-exec does not contain detached descendants. There is no
unrestricted fallback. Command protection fails closed above 4,096
workspace directories. The historical macOS command walkthrough does not
qualify the current Linux implementation.
- Provider model choice, token usage, cost, native thread control, and
global external stopping remain unavailable. Known Paperclip budget
gates still apply.
- The workspace bridge and attachment reader are separate opt-in
settings. Reading assigned task files sends their contents to OpenAI.
Revocation prevents future reads but cannot withdraw bytes already sent.
Files are read on request; automatic inbound attachment staging remains
disabled.
- An existing event registration can retain earlier instructions that
prohibit extra tasks. Dot asked for permission before a second intake
after the final event-only bootstrap; that extra no-nudge continuation
is not live-qualified under that earlier registration. The later
attachment qualification submitted normally through the composer. The
revised onboarding prompt describes the new idle entry point, and its
protocol polling path is tested.
- OpenAI event delivery can be delayed; a webhook acknowledgement is not
proof that Dot has begun work.
- A running Dot can retain an old plugin catalog after tool refresh.
Refresh and actual tool exposure must be checked before using new
top-level actions.
- Hosted and remote controller modes are not qualified.

## Model Used

OpenAI Codex, based on GPT-6. The exact deployment ID and context window
size are not exposed in this session. Capabilities used: reasoning,
repository editing, code execution, test inspection, and browser
control.

## 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 linked existing issues or described the issue in-PR
following the relevant issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links
- [x] My branch name describes the change and contains no internal
Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass (focused suites and all
fresh failure rechecks pass; the earlier full attempt is disclosed
above)
- [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>
2026-10-07 19:44:17 -05:00
..
2026-03-12 13:09:22 -05:00

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

MIT License Stars Discord



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

Open-source orchestration for teams of AI agents.

If OpenClaw is an employee, Paperclip is the company.

Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard.

It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.

Manage business goals, not pull requests.

Step Example
01 Define the goal "Build the #1 AI note-taking app to $1M MRR."
02 Hire the team CEO, CTO, engineers, designers, marketers — any bot, any provider.
03 Approve and run Review strategy. Set budgets. Hit go. Monitor from the dashboard.

Works
with
OpenClaw
OpenClaw
Claude
Claude Code
Codex
Codex
Cursor
Cursor
Bash
Bash
HTTP
HTTP

If it can receive a heartbeat, it's hired.


Paperclip is right for you if

  • ✅ You want to build autonomous AI companies
  • ✅ 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

Features

🔌 Bring Your Own Agent

Any agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.

🎯 Goal Alignment

Every task traces back to the company mission. Agents know what to do and why.

💓 Heartbeats

Agents wake on a schedule, check work, and act. Delegation flows up and down the org chart.

💰 Cost Control

Monthly budgets per agent. When they hit the limit, they stop. No runaway costs.

🏢 Multi-Company

One deployment, many companies. Complete data isolation. One control plane for your portfolio.

🎫 Ticket System

Every conversation traced. Every decision explained. Full tool-call tracing and immutable audit log.

🛡️ Governance

Approve hires, override strategy, pause or terminate any agent — at any time.

📊 Org Chart

Hierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.

📱 Mobile Ready

Monitor and manage your autonomous businesses from anywhere.

Problems Paperclip solves

Without Paperclip With Paperclip
❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything. ✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots.
❌ You manually gather context from several places to remind your bot what you're actually doing. ✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why.
❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents. ✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts.
❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened. ✅ Cost tracking surfaces token budgets and throttles agents when they're out. Management prioritizes with budgets.
❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. ✅ Heartbeats handle regular work on a schedule. Management supervises.
❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it. ✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work.

Why Paperclip is special

Paperclip handles the hard orchestration details correctly.

Atomic execution. Task checkout and budget enforcement are atomic, so no double-work and no runaway spend.
Persistent agent state. Agents resume the same task context across heartbeats instead of restarting from scratch.
Runtime skill injection. Agents can learn Paperclip workflows and project context at runtime, without retraining.
Governance with rollback. Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely.
Goal-aware execution. Tasks carry full goal ancestry so agents consistently see the "why," not just a title.
Portable company templates. Export/import orgs, agents, and skills with secret scrubbing and collision handling.
True multi-company isolation. Every entity is company-scoped, so one deployment can run many companies with separate data and audit trails.

What's Under the Hood

Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:

┌──────────────────────────────────────────────────────────────┐
│                       PAPERCLIP SERVER                       │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │Identity & │  │  Work &   │  │ Heartbeat │  │Governance │  │
│  │  Access   │  │   Tasks   │  │ Execution │  │& Approvals│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Org Chart │  │Workspaces │  │  Plugins  │  │  Budget   │  │
│  │ & Agents  │  │ & Runtime │  │           │  │ & Costs   │  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
│                                                              │
│  ┌───────────┐  ┌───────────┐  ┌───────────┐  ┌───────────┐  │
│  │ Routines  │  │ Secrets & │  │ Activity  │  │  Company  │  │
│  │& Schedules│  │  Storage  │  │ & Events  │  │Portability│  │
│  └───────────┘  └───────────┘  └───────────┘  └───────────┘  │
└──────────────────────────────────────────────────────────────┘
         ▲              ▲              ▲              ▲
   ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐  ┌─────┴─────┐
   │  Claude   │  │   Codex   │  │   CLI     │  │ HTTP/web  │
   │   Code    │  │           │  │  agents   │  │   bots    │
   └───────────┘  └───────────┘  └───────────┘  └───────────┘

The Systems

Identity & Access — Two deployment modes (trusted local or authenticated), board users, agent API keys, short-lived run JWTs, company memberships, invite flows, and OpenClaw onboarding. Every mutating request is traced to an actor.

Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired.

Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. No double-work, no lost context.

Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce structured logs, cost events, session state, and audit trails. Recovery handles orphaned runs automatically.

Workspaces & Runtime — Project workspaces, isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Agents work in the right directory with the right context every time.

Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, agent pause/resume/terminate, and full audit logging. Nothing ships without your sign-off.

Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Overspend pauses agents and cancels queued work automatically.

Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed.

Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it.

Secrets & Storage — Instance and company secrets, encrypted local storage, provider-backed object storage, attachments, and work products. Sensitive values stay out of prompts unless a scoped run explicitly needs them.

Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why.

Company Portability — Export and import entire organizations — agents, skills, projects, routines, and issues — with secret scrubbing and collision handling. One deployment, many companies, complete data isolation.


What Paperclip is not

Not a chatbot. Agents have jobs, not chat windows.
Not an agent framework. We don't tell you how to build agents. We tell you how to run a company made of them.
Not a workflow builder. No drag-and-drop pipelines. Paperclip models companies — with org charts, goals, budgets, and governance.
Not a prompt manager. Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in.
Not a single-agent tool. This is for teams. If you have one agent, you probably don't need Paperclip. If you have twenty — you definitely do.
Not a code review tool. Paperclip orchestrates work, not pull requests. Bring your own review process.

Quickstart

Open source. Self-hosted. No Paperclip account required.

npx paperclipai onboard --yes

That quickstart path now defaults to trusted local loopback mode for the fastest first run. To start in authenticated/private mode instead, choose a bind preset explicitly:

npx paperclipai onboard --yes --bind lan
# or:
npx paperclipai onboard --yes --bind tailnet

If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use paperclipai configure to edit settings.

Or manually:

git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev

This starts the API server at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.

Requirements: Node.js 24.11+, pnpm 9.15+


FAQ

What does a typical setup look like? Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.

If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.

Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.

How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.

Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.

(Bring-your-own-ticket-system is on the Roadmap)

Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.


Importing & Exporting Companies

Export a company to a portable package and import it into any other instance — local or cloud — from a local path or GitHub:

paperclipai company export <company-id> --out ./my-export
paperclipai company import ./my-export --dry-run
paperclipai company import org/repo --target new

The board UI has matching Export and Import pages in company settings: the Export page shows a fidelity panel listing what the bundle will not carry, and the Import page starts imported agents and routines paused by default, with a post-import activation step. See the Importing & Exporting guide for details.

Development

pnpm dev              # Full dev (API + UI, watch mode)
pnpm dev:once         # Full dev without file watching
pnpm dev:server       # Server only
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
  • ✅ Scheduled Routines
  • ✅ Better Budgeting
  • ✅ Agent Reviews and Approvals
  • ✅ Multiple Human Users
  • ⚪ Cloud / Sandbox agents (e.g. Cursor / e2b / Novita agents)
  • ⚪ Artifacts & Work Products
  • ⚪ Memory / Knowledge
  • ⚪ Enforced Outcomes
  • ⚪ MAXIMIZER MODE
  • ⚪ Deep Planning
  • ⚪ Work Queues
  • ⚪ Self-Organization
  • ⚪ Automatic Organizational Learning
  • ⚪ CEO Chat
  • ⚪ Cloud deployments
  • ⚪ Desktop App

This is the short roadmap preview. See the full roadmap in ROADMAP.md.


Community & Plugins

Find Plugins and more at awesome-paperclip

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.

Telemetry is enabled by default and can be disabled with any of the following:

Method How
Environment variable PAPERCLIP_TELEMETRY_DISABLED=1
Standard convention DO_NOT_TRACK=1
CI environments Automatically disabled when CI=true
Config file Set telemetry.enabled: false in your Paperclip config

Contributing

We welcome contributions. See the contributing guide for details.


Community


License

MIT © 2026 Paperclip Labs, Inc

Star History

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Open source under MIT. Built for people who want to get work done, not babysit agents.