Files
DottaandPaperclip 57e977be72 feat: integrate Pi 1.0 into the experimental Runner (#14921)
## Thinking Path

> - Paperclip manages AI agents and their work.
> - The experimental Runner owns provider processes and durable
sessions.
> - Pi needs working task execution and human controls.
> - The five-PR stack must preserve changes already on master.
> - Each layer now carries the complete integrated source for a safe
sequential fallback.
> - This PR belongs to native GitHub stack #15602, ending at #14956.

## Linked Issues or Issue Description

Refs #14436, #14631, #14743 and #14956.

Ship Pi 1.0 through the experimental Paperclip Runner. The five PRs are
#14921, #14922, #14923, #14924 and #14956. The user authorized the
complete merge after checks pass. Existing `pi_local` execution is
unchanged. Accounting and wider provider/platform qualification remain
deferred.

## What Changed

- Recover missing final replies after workspace finalization changes
owners, using accepted-turn evidence without rerunning work or granting
external-chat publication.
- Preserve the admitted Pi instruction root across warm runs, while
retaining changed-root rejection.
- Give Pi a bounded 15-second default shutdown grace so stop, drain
acknowledgement and durable suspension can complete. Explicit deadlines
and other providers retain their existing behavior.
- Integrate the Pi 1.0 runtime and master contracts.
- Use Pi profile 22. Preserve explicit caller-selected models and exact
native thinking levels. Keep Pi's wrapper, helper, extension and
question/control behavior unchanged from the qualified profile-19
runtime.
- Preserve master's Dot lifecycle and consent fields, configured task
environment, status guards and current Codex/Claude dependency versions.
Cursor stays qualified. Copilot stays pending; profile 17 binds the
changed shared protocol validation sources.
- Exclude general AWS IAM credentials from Pi static/custom provider
bindings and selected task projections; preserve the provider-scoped
Bedrock bearer key. Profile 21 is retained as historical provenance.
Rust and cloud install probes use the current declaration.
- Patch bundled brace-expansion 5.0.9 to the exact official 5.0.12
payload. Pin the patch and complete runtime closures. Include the patch
in normal installed setup tooling. Keep the upstream Pi shrinkwrap as
provenance and permit only this exact security correction.
- Include current attestation files in the Docker build context. Keep
the repository lockfile unchanged from master. CI and private image
builds resolve manifest changes before their frozen installation.

## Verification

- Full local `pnpm -r typecheck` passes, including Runner Rust, server
and UI. Focused integration checks pass: 194 Runner
admission/environment tests, 63 profile/credential tests with one
expected skip, 152 Dot/UI configuration tests, and Pi transcript/notice
tests.
- Full local `pnpm build` passes on the final source.
- Fresh final-source checks pass: all 698 Rust workspace tests (32
binaries), 156 credential/profile/controller tests with one expected
skip, Runner TypeScript typecheck, and 20 package/setup/sandbox tests.
- The profile-21 Pi materializer passes on the native host with the
official pinned Node 24.21.0 and its npm. It verifies all 150 locked
packages, the patched dependency and the exact closure. Setup/package
bundle tests and UI token gates pass.
- The old hashes were reproduced for all three supported targets before
calculating the patched graph. New closure hashes are darwin-arm64
`282022db10150c6632b3444df421342e7d534bdf5d5fb1097a2e79d0625a2bcf`,
darwin-x64
`64e251e19009f755c0b04f73ce2138246faab71a961b0f13d75ebfcc34bef12e`, and
linux-x64
`713b1fdff42fb56a1518bdc084f181d70bee8ebadc3e4b1d76321ed9108c8410`.
Independent native platform execution is separate from graph identity
reproduction.
- Historical cloud qualification remains unchanged: all seven core cases
pass on shipping source `10dc43c9ec65d88c2f782d62afb296d09494f215`,
harness `1a4408a48cfb5a1f094a311141c257c92cd7a893`, image
`sha256:5b3a775b383591bda1b0c1889e509acc70ce7f37c53f09733c81d59037f02280`,
and accepted Sonnet 4.6/low fixture. All 215 canonical files and all
seven cleanup checks pass independent verification. These are profile-19
results and are not relabeled as fresh profile-22 runs.
- Current Pi digest:
`sha256:e92078bee3c23bec4100aa589013a44613d054cd686826534025d8019e9f39a9`.
[The readiness
plan](https://github.com/paperclipai/paperclip/blob/codex/pi-production-readiness/doc/plans/2026-10-02-pi-production-readiness.md)
preserves campaign and failed-attempt provenance.
- Merge only after every PR's current-head CI and fresh review pass.
Linux CI covers the full suites, build and browser tests. The local
embedded Postgres API-authority suite cannot start on this macOS/Node 26
host, so Linux CI must confirm that suite.

### Fresh profile-22 core qualification — 2026-10-08

All seven accepted core cases pass canonically on Pi profile 22, with
`openrouter/anthropic/claude-sonnet-4.6` and native-confirmed low
thinking. This model is a fixture; production accepts the caller's
explicit Pi provider/model.

Runtime/install source: `3241a992f2a7703e59e97ed0fd3e5d6405de4401`.
Frozen accepted harness: `1a4408a48cfb5a1f094a311141c257c92cd7a893`.
Immutable cloud image:
`ghcr.io/paperclipai/paperclip-daytona-runner@sha256:506f22db7edd78f37c0c40bec1cc084af1850455026dbf467194bfbb8fcef141`.
Pi digest:
`sha256:e92078bee3c23bec4100aa589013a44613d054cd686826534025d8019e9f39a9`.

[Hosted Linux image and clean-install
verification](https://github.com/paperclipai/paperclip/actions/runs/37868328023)
passes, including all 20 source-bound archives, normal CLI/Pi setup,
companion import and the production pack reader. This exact installation
source includes the latest master integration and the corrected Pi warm
instruction-root fence. Full local typecheck/build and current-head
hosted CI verify the final stack. All 13 focused real-root regressions
pass. The full local executor suite passed 662 tests; 15 database tests
could not start the Mac embedded PostgreSQL service. Hosted Linux CI
passes the full required verification and E2E checks. These fresh
results keep their own source identity; profile-19 results remain
historical.

| Core path | Canonical campaign | Retained archive SHA-256 |
| --- | --- | --- |
| File edit, validation, download and Done |
`pi-core22-replyfix-0-1791511228` | 23 files;
`a473e8603a3dd4737863291f8d3d1e392391f0b16d433c3e0e0e9d8baf7a97b0` |
| Pending question and controller restart |
`pi-core22-replyfix-1-1791511376` | 33 files;
`6b829c4eb74e1f32a89c692a4ae7130dbfc1c6d3cf13915effe2103d9e242c8e` |
| Three-turn session/process/workspace continuity |
`pi-core22-replyfix-2-1791511587` | 23 files;
`7a87021f8f9a3fdd3c58bb4467f8d82c635e3ea4795d6e75f144d9aa14818df8` |
| Four typed questions and browser reconnects |
`pi-core22-replyfix-3-1791511881` | 42 files;
`9e31755252be1f4f9cb0626c984c142d4d1ae5f5bee3a7af08444db8d12c280a` |
| Plan approval and completion | `pi-core22-replyfix-4-1791512031` | 22
files;
`a0383ce1aab38e7b5a25ce0e9dd3bebea5c037ebd96ae6b29dae19015da2ae2c` |
| Same-turn steering and permission denial |
`pi-core22-replyfix-5-1791512261` | 39 files;
`c929b8c7070f0b66aedc17e65ca46e6beab1e363926ac9f7e2a75fb250f05949` |
| Stop during pending permission | `pi-core22-replyfix-6-1791512390` |
33 files;
`7f0a58ae0f4d5bfc76149435f4e322537089c5bd16e7ffe9b5ad71f10a621a07` |

All 215 canonical files (28714587 bytes) are independently
hash-verified. All seven cleanup grades pass, with no owned runtime
process or temporary root after each case. Automatic retries are zero.
The owned cloud host stopped normally after retention. The prior
profile-22 warm attempt remains failed and separately retained: archive
SHA-256
`1e54eba5ec72b50cee1534b23d1d1d4f21a090006b8a64501ba70db972abfde5`. Its
original canonical classification is preserved. Diagnosis reproduced a
product bug comparing an agent-files root against an unset
checkpoint-only field. The fix stores the admitted physical root
separately from the adopted per-run collection capability. The real-root
regression fails before the fix and passes afterward, including
rejection of a changed physical root. Fixture, grader, model and all
seven accepted case IDs are unchanged; this fresh campaign tests
final-reply publication after file registration first. The intermediate
restart attempt also remains failed and retained: archive SHA-256
`5dcaefdf1d17cf4cd54fd4cf810f45e736667392339b8ce7caf08bb4e225277f`. Its
original canonical classification is preserved. Pi resumed, wrote the
verified answer and completed its task; exact runner suspension was
proven, but idle stop consumed about 5.2s and left under 3s for the
drain acknowledgement. The Pi-only default shutdown grace is now 15s,
preserving a full 5s drain round trip and a finite suspension reserve.
Explicit caller deadlines, other provider defaults, literal drain
receipts and exact suspension identity checks remain unchanged. The
timing regression fails before this correction and passes afterward; all
18 focused settlement tests and Runner typecheck pass. The final-source
file attempt is also preserved as failed (`candidate_failure`), archive
SHA-256
`db6767b6773ea618997927ac77bdb005a5ac81492c7b9c0ffbc900449f829bc9`.
Native edit, validation, exact downloadable artifact and Done/succeeded
all passed, and the exact final reply was durably recorded. A workspace
recovery owner completed before the live heartbeat reached presentation,
leaving that reply absent from task chat. Recovery now materializes only
a completed final reply from the accepted turn of an ordinary internal
Done task, preserving issue/run/contract binding, suppression,
external-chat authorization and same-run deduplication. The database
regression covers the generated file-preparation receipt, suppression,
unapproved external continuation and replay. Server typecheck and all 49
response-selection tests pass; hosted Linux verifies the database
regression because embedded PostgreSQL cannot start on this Mac.

The delayed-final-answer database regression passes on [the final
root-source Linux server
shard](https://github.com/paperclipai/paperclip/actions/runs/37868262553/job/113628594152),
alongside 1,108 passing tests. The first root Runner shard had one
unchanged durable-resume test exceed its 5-second timeout; the identical
top-source shard and the isolated exact test passed. One rerun of that
failed job and its required aggregate passed without source or test
changes. The original failed job log and the single-rerun receipt remain
retained.

### October 9 merge verification

Current merge head: `5a8fe63512a7166aaef5cf50065a25008aa8b44b`. All
current-head checks pass, including `ci / verify` and `ci / e2e`;
exact-head Greptile review is 5/5 with no unresolved threads. Current
master conflicts are resolved. The user authorized the maintainer
override of the code-owner review gate after these checks. The seven
retained live core cases remain bound to source
`3241a992f2a7703e59e97ed0fd3e5d6405de4401` and its recorded cloud image.

## Risks

- The security correction changes the dependency closure and profile
identity. Old sessions must reopen on the new profile. Exact identities
and credential bindings fail closed.
- The runner remains experimental and requires explicit selection.
Legacy Pi Local is unchanged. Caller model IDs pass through; the E2E
model is a fixture.
- Accounting and the broad platform/provider matrix remain deferred.
This merge does not publish a release or deploy a service.

## Model Used

OpenAI GPT-6 through Codex assisted with reasoning, repository
inspection, editing and tool use. The exact serving ID and context
window are not exposed in this session. Final live qualification uses Pi
1.0.0 with `openrouter/anthropic/claude-sonnet-4.6` and native-confirmed
low thinking.

## 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
#` 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>
2026-10-09 08:56:41 -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.