## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The native Runner keeps provider sessions under company authority, approvals, budgets and durable recovery. > - Cursor work was spread across candidate branches. The published branch lacked later plan, permission and cleanup fixes. > - Production also needs public installation and matching runtime assets for local and Daytona execution. > - This pull request consolidates Cursor onto current mainline recovery behavior and completes that installation path. > - The installed v11 release passed focused local and Daytona qualification after the generic mode and lifecycle cleanup. The later model-selection correction and current mainline merge produce v14 artifacts that need matching release qualification. > - Cursor admission is enabled in source; publish only an artifact combination with matching qualification. Native AskQuestion and complete per-run dollar accounting remain excluded. ## Linked Issues or Issue Description Refs: #14435, #14631, #14669, #14699, #14724. This completes the Cursor implementation by @cryppadotta from combined source `22c78242a4e0c2369fecf0c2dc4e7600fbad6706`. It preserves newer mainline recovery, completion and warm-directory behavior. Pi and Copilot remain gated. ## What Changed - Generate named Rust and TypeScript ACPX release profiles from one manifest. Share runtime pins with packaging and server verification. Preserve vendor runtime versions; bind the updated ACPX patch to Cursor profile v14 and reject stale generated declarations at build/typecheck. - Remove ACPX model allowlists, including the former Codex and Pi restrictions and the duplicate developer test-drive gate. Send any explicit model ID unchanged to its provider and verify the effective selection before prompting. The bundled ACPX package forwards unlisted IDs, rejects mismatched acknowledgements, and restores the exact selection after session load. It does not expand Cursor model aliases. Provider rejection, mismatch, or missing model controls fails without a fallback. Model examples live in evaluation fixtures, outside runtime declarations. - Add pinned Cursor execution, contained instructions, exact model verification and Agent/Plan/Ask modes. - Carry an opaque generic `mode` identifier in shared native execution, sidecar, Rust and recovery contracts. The provider adapter owns supported modes, defaults, native translation and acknowledgement. - Keep native RPC recognition, accepted-plan interpretation and permission evidence behind provider adapters. Shared settlement and recovery verify normalized facts and their committed evidence. - Replace the Cursor-only warm-attachment branch with a runner-owned capability. Only Cursor opts into it. Move profile compatibility and optional usage parsing into provider metadata and adapters. - Write generic plan-wait receipts. Read exact historical Cursor receipts through a separate compatibility decoder. Reject mixed formats and preserve existing authority checks. - Carry native plans, semantic questions, todos, child activity, permission identities and partial usage diagnostics through the Runner. - Preserve durable response delivery, cancellation, warm ownership and process retirement. - Finish accepted planning runs successfully. Keep their tasks open for explicit direction. Acceptance does not start implementation. - Ship `paperclipai runtime setup cursor` and its provisioner through the public package. npm installation does not download Cursor. Setup uses the OS account's closure-keyed cache so system-wide npm packages can remain read-only. Run it as the Paperclip service account. - Include Cursor in normal provider packs and Daytona images for macOS ARM64/x64 and Linux x64. - Reject stale release packs by source revision and current ACPX/Cursor pins before assembly writes files. Verify current Cursor version/profile/closure again at runtime. - Ship all three daemon targets and the expected Linux image-pack identity. A macOS controller uses its packaged Linux daemon for Daytona. Image mismatches fail before provider launch. - Use the vendored Runner boundary for installed readiness probes. Verify the actual installed Cursor probe. - Verify compiled public Daytona plugins and their release versions in installed smokes. - Record exact artifacts, the acceptance matrix, retained failures, supported capabilities and rollback behavior in the [readiness report](https://github.com/paperclipai/paperclip/blob/codex/cursor-production-readiness/doc/plans/2026-10-03-cursor-production-readiness.md). ## Verification - Current head `f7ec5cc1f0e30c62a829c016ff2013a2a9d79037` merges mainline `faa8e452c73bae5e044dd6379179a00106abb131`. It keeps Cursor plan and cancellation guards alongside mainline historical-question filtering. The evaluation catalog includes both Cursor and expanded adapter accounting cases (683 total). Recursive typecheck, full build, 696 lifecycle/recovery tests, 45 fixture tests and fixture typecheck passed. Current-head CI passed: 56 successful checks, one neutral and four skipped. [Complete CI](https://github.com/paperclipai/paperclip/actions/runs/37557996535). The fresh Base Greptile review is 5/5 on this exact head, with 304 files reviewed, zero new comments and zero unresolved threads. The user authorized overriding the CODEOWNER review gate after checks passed; no failing checks are overridden. Prior results below retain their own head identities. - Corrective head `3d2b168366258036f6b6a6fccb382c49138cc601` fixes the post-merge Apex finding. Automatic-review and new-evidence reconciliation preserve pending child results and recheck delivery under the status lock before completing. Account repair now excludes unrelated secret consumers and requires the failed agent's identity. Regression coverage includes the commit race, delivery statuses, current-run/current-intent exclusions, repeated reconciliation, both database reconciliation paths, and credential consumer boundaries. All 184 affected tests, server typecheck and server build passed. Current-head Base Greptile review is 5/5, with 304 files reviewed, zero new comments and zero unresolved threads. Current-head CI passed: 56 successful checks, one neutral and four skipped. [Complete CI](https://github.com/paperclipai/paperclip/actions/runs/37535994724). This Base review is distinct from the earlier Apex review. - Merge head `5957c257a` reconciles mainline `b508a05c4`. It preserves both accepted-plan waits and pending-child-completion checks, current provider selectors, task-creation response identities, and mainline ACPX missing-file handling. The combined patch is bound to Cursor profile v14; historical records keep their original identities. - Merge head `5957c257a` passed recursive typecheck, full build, 43 installed ACPX/package contracts, 107 provider UI and plan/recovery tests, 593 database-backed lifecycle tests, 49 profile/native contract tests, 45 Product E2E fixture tests, fixture typecheck, token gates, three provider-free browser task-creation cases, and Runner conformance/replay checks. Its complete CI passed (55 successful checks, one neutral and four skipped), while Apex returned 2/5 with a child-delivery finding addressed below. - The local full-suite attempt again failed the unchanged Git streaming test (360-second timeout) and was stopped. The concurrent local Rust attempt failed four unchanged Codex process/deadline tests; all four passed serially without code changes in 7.29 seconds after removing the competing test load. These failed commands are retained and are not reported as full-suite passes; the fresh Linux CI runs are tracked separately. - The previous head `907bdb2a2778c7ffeb4a662a91460c9d1ddfc9c5` earned Apex 5/5 with zero comments after fixing all three findings: per-user install cache, stale release-pack rejection, and public Linux smoke account/home handling. Its real built installer passed from read-only public packages on macOS ARM64 and Linux x64. All 137 release-registry checks and 64 ACPX package contracts passed. That review does not cover this mainline reconciliation. - Prior `beadd3654` passed the full CI matrix; its one unchanged chat test failure and successful single retry remain in the [CI history](https://github.com/paperclipai/paperclip/actions/runs/37521449327). Historical results below remain attributed to their original builds. - Fixture follow-up `dd59d7e82b103a88b7cbd7d2c38b612c0fbbff7a` removes provider-specific model choices from generic offline ACPX tests. The fake sidecar preserves the model and session identity selected at open through suspension. Affected verification passed: 106 Rust tests and 73 TypeScript tests. This commit changes test code only; the production-code checks below retain their recorded identities. Its CI and Greptile review later passed; those results belong to that historical head. - Model-selection cleanup `9a070808b48960a41fdfd369ae0636b95af82459`: 252 focused Runner tests passed (six platform skips), covering all six ACPX agents, native model acknowledgement, rejected selections, installation integrity and recovery identity. The merged branch passed recursive typecheck, full build, token gates, server admission (19 tests), and the Product E2E catalog (45 tests). The acceptance catalog passed all four tests. The full Rust suite passed: 643 tests, 2 ignored. It verifies sidecar acknowledgement of unlisted models and rejection of model mismatches. The final commits only update Rust tests; production sources match the verified build at `65ec3279ac50185e3cda109b5cfd9b4f56105de0`. No new paid provider calls were made. - The merge preserves both Cursor and the new mainline public-MCP fixture cases. Auto-merge remains disabled; the latest follow-up status is recorded above. The local `pnpm test:run` attempt hit the unchanged Git streaming test's 300-second timeout and was interrupted before merging mainline. The broad Runner attempt found obsolete single-model assertions plus three macOS fixture-path failures caused by a `/private/tmp` override. The assertions are corrected; affected TypeScript checks passed with the standard macOS temporary directory, and the complete Rust suite passed. Neither interrupted command is a full-suite pass. - Earlier declaration-cleanup head `6f4a5e9e2` passed recursive typecheck, build, Rust and focused tests. Its CI later exposed a test expecting duplicated Grok digest literals. The current source fixes that assertion to compare launcher bytes with the shared manifest. Historical successes and failed attempts are retained; no new live provider qualification is claimed. - Previous head `e75fde6098b0ddd8cec765bfb6ecaeecb88a26a6` passed complete CI (56 successful checks, one neutral, four skipped) and Greptile 5/5. [Historical complete CI](https://github.com/paperclipai/paperclip/actions/runs/37489112305). Those results are not claimed for the cleanup head. - Frozen live application: `d7b696f9b8f79095233e9e3d56d23e6a6018dd48`. Public package version: `0.0.0-cursor-verify.3d0c9b7761c6`. The declaration cleanup preserves release pins and does not relabel that tested artifact as a build of the new source. Mainline through `e34abee670` was reconciled while preserving accepted-plan waits, provider-capacity handling, and both Cursor and public-MCP fixtures. - Clean normal installation, explicit Cursor setup and daemon resolution passed on macOS ARM64, macOS x64 under Rosetta, and Linux x64. npm lifecycle hooks ran without silently downloading Cursor. - Historical v11 live matrix: **18/18 passed with cleanup** (nine local, nine Daytona) after the generic mode and lifecycle cleanup. The campaign has 23 attempts; all five failures and their diagnoses remain recorded. Exact case identities, hashes and limits are in the readiness report. All provider calls are real, use the explicit Luna model and company-bound credentials, and run without qualification or runtime-asset overrides. - The immutable Daytona image is `ghcr.io/paperclipai/paperclip-daytona-runner@sha256:d6259b6bba094702c13fc2283bd85550849c1c53145b656fb2746778f9fa1747`. The public Daytona plugin is installed independently and its version is checked. - Recursive typecheck, full build, token gates and Runner contract/conformance/replay checks passed on the frozen application. Its complete Linux CI suite passed. The duplicate local full-suite command was incomplete after timing failures; affected repeats passed, but that command is not reported as a clean pass. - Qualification fixtures passed typecheck, 1,675 Vitest tests (one skip), 128 Node checks, three provider-free browser tests, and 150 focused lifecycle tests after the final diagnostic correction. The affected legacy Cursor command file also passed all five tests after removing its shorter 10-second override; it now inherits the suite’s standard 15-second timeout. Greptile is 5/5 on `e75fde609` with no unresolved review threads. CI results above are recorded separately from historical build results. ## Risks - Cursor v14 includes the updated ACPX dependency patch and release identity. The v11 live matrix and image below remain historical evidence. They do not certify new v14 package/image artifacts. - ACPX accepts models beyond the qualification fixtures. Availability and entitlement depend on the provider. Successful configuration is not a claim of live qualification for every model. - Shared mode is an opaque identifier. Provider adapters own its meaning. Incompatible historical sessions remain fenced; exact committed plan waits and task history remain inspectable. - Native AskQuestion is excluded. Paperclip semantic questions are supported. Authoritative per-run dollar accounting is unavailable; partial counters remain diagnostics and unknown cost is not zero. - Image input, detailed native diffs, deeper child transcripts and native plan-file export remain follow-ups. - macOS x64 has clean-install and daemon-startup proof under Rosetta, not a separate live campaign on Intel hardware. - Release only the tested package/image combination. Merging this PR does not publish npm packages or deploy that image. Later builds need their own release verification. Rollback disables new Cursor admission while preserving records and recovery inspection. - A model can fail an exact instruction: one cancelled-plan attempt returned the wrong summary marker despite correct cancellation. The unchanged repeat passed; both results remain in the report. > ROADMAP.md was checked. This completes existing native Runner/Cursor work; it does not add an independent core feature proposal. ## Model Used OpenAI Codex, GPT-6. The exact serving variant and context window are not exposed in this session. The agent used reasoning, repository inspection, code execution, protocol tests and browser-backed Product E2E tools. Cursor acceptance uses the explicit `gpt-5.6-luna[context=272k,reasoning=medium,fast=false]` model. That is the evaluated provider model. ## 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 — affected suites passed; full CI and the retained local failed attempts are recorded separately 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 — 56 successful checks, one neutral and four skipped on `f7ec5cc1f0e30c62a829c016ff2013a2a9d79037` - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups — fresh Base review passed on `f7ec5cc1f0e30c62a829c016ff2013a2a9d79037`; zero new comments and no unresolved threads. The earlier Apex finding remains fixed. - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
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Paperclip is the app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.
Manage business goals, not pull requests.
| Step | Example | |
|---|---|---|
| 01 | Define the goal | "Build the #1 AI note-taking app to $1M MRR." |
| 02 | Hire the team | CEO, CTO, engineers, designers, marketers — any bot, any provider. |
| 03 | Approve and run | Review strategy. Set budgets. Hit go. Monitor from the dashboard. |
| Works with |
OpenClaw |
Claude Code |
Codex |
Cursor + Cloud |
Gemini CLI |
OpenCode |
Pi |
Hermes + Gateway |
Grok Build |
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.
| 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 AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentLink tasks and projects to your organization goals. Agents receive the goal context behind their work. |
💓 HeartbeatsAgents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart. |
💰 Cost ControlCompany, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits. |
🏢 Multi-OrganizationOne deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each. |
🎫 Task ThreadsKeep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people. |
🛡️ GovernanceConfigure review and approval stages, approve hires, and pause, reassign, or stop work when needed. |
📊 Org ChartHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description. |
📱 Mobile ReadyMonitor and manage your autonomous businesses from anywhere. |
🔗 Apps & ConnectionsConnect services such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off. |
👥 Shared Agents, Personal AccountsChoose 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 StudioInstall or write shared skills, test them with saved inputs, inspect results, and restore earlier versions. |
📅 Scheduled RoutinesRun recurring work on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history. |
📎 Artifacts & FeedbackFind the files and documents agents produce. Preview supported formats and leave comments on specific passages in documents. |
📦 Ready-Made TeamsPreview 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
.npmrcIf this fails with an
E404forpaperclipai(or similar) and you use a private npm registry (for example GitHub Packages) via a global~/.npmrc,npxmay be resolvingpaperclipaiagainst that private registry instead of the public npm registry.Diagnostic:
npm config get registryWorkaround (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.
Community
- Discord — Join the community
- Twitter / X — Follow updates and announcements
- GitHub Issues — bugs and feature requests
- GitHub Discussions — ideas and RFC
License
MIT © 2026 Paperclip Labs, Inc
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Open source under MIT. Built for people who want to get work done, not babysit agents.
