## Thinking Path > - Paperclip helps people manage AI agents at work. > - Cursor Cloud hosts execution behind its API. > - Product setup still expected a Paperclip Computer. > - Managed-only tenants therefore rejected valid setup. > - This admits the validated API-owned controller. > - Authority, Stop proof, budgets and cleanup remain enforced. ## Linked Issues or Issue Description Refs #18068 and #18069; both dependencies have merged. **What happened?** Managed-only setup still requested a Computer. Live tests exposed missing Cursor Stop proof and duplicate replay. **Expected behavior** Use Cursor’s API controller. Verify provider/controller termination and replay each log identity once. **Steps to reproduce** Enable native Runner/managed-only. Configure Cursor model/repository/key without a Computer, then Test, finish setup, run and Stop. ## What Changed - Derive API-only placement from validated native Cursor configuration; reject placement/command/workspace/home overrides and keep Kubernetes-only execution closed. - Skip Computers/checkout/workspace realization. Keep scoped tools, completion, private staging, budgets, leases and recovery. Persist placement; reject contradictions. - Align Cloud cards, Test, Save and Finish setup; hold unready drafts. Legacy keeps its Computer, credential and policy checks. - Verify Stop from exact API ownership, audited intent, provider-terminal proof, no Computer/process ownership and controller retirement. Recheck immediate/deferred retirement; wake existing recovery on durable evidence. - Clear warnings when the actual stopped target later has authoritative confirmation. Keep missing/other-run negatives and the existing predicate. - Publish safe status refresh after full-proof ACK. Retain bounded native/physical cancellation history; add no poller or weaker proof path. ## Verification Core merged as `3910352c923a`; Product merged as `27d35314be8e`. Public branch `5f86eb66b081` has tree `67344151d303`. Its exact-head Greptile summary is 5/5; the fresh audit found zero unresolved threads and complete pagination. The controlled workspace retry and required summary passed. All 59 current-head contexts are terminal and clean. Prior green-36 evidence keeps its identity. [Current CI](https://github.com/paperclipai/paperclip/actions/runs/41680511731) first failed workspaces-a 1/2: the CLI company-import/export beforeAll 30-second runtime-info/child-PID/HTTP readiness wait expired. All 431 UI files/4,714 tests and 285 other CLI tests passed (one skip). The cause remains UNKNOWN. Child output records startup recovery complete, but buffered CI prefixes do not establish its relation to the waiter deadline; runtime-file/PID/last-health state was not captured. Both unchanged local probes were RED. The second observed dependency preflight still pending at the deadline; observer overhead was not quantified. Neither proves the CI cause. After all functional jobs finished, only the queued metadata summary was cancelled; the other 48 records stayed unchanged. Attempt 1 retains 46 successes, the original failure, one skip and the cancelled summary. One same-head debug retry was admitted at 18:42 UTC on November 3. Its workspace job passed at 19:23 UTC on the same checkout: UI 431 files/4,714 tests and CLI 33 files/286 tests, including company import/export. Test caching was disabled. The new `ci / verify` summary passed; workflow attempt 2 completed SUCCESS. Required `ci / e2e` also passed. The final check at 19:53 UTC on November 3 found all 59 current-head contexts terminal and clean: zero pending and zero failing. The 47 inherited completed/skipped rows are not new executions. No code, assertion or timeout changed; success does not explain the original failure or erase the local REDs. CI checkout is `1ea9d8608ced`/tree `78cb1ec13d59` (parents `2e37c73c05fe`, 5f86); both workflows use 2e37. Its 20 extra paths add low-memory build/Rust task-memory. Scripts cohere; later matrix changes only labels, with no newer debug-cache steps. Static audit found no blocker. Supported API arguments omit the memory flag: no default monitor/instruction changes. Flagged external launchers can change Cursor instructions/digests and remain unqualified. The merge added 41 master-identical paths, retained the green-36 inbox hunk and found UI fixtures matching upstream. Startup/backup, recovery projection, sleep diagnostics and binary backup change production. Static audit found eight Stop/ACK owner blobs and 37 sleep-work SQL templates unchanged, with sleep fences/single-flight accounting intact. Exact precommit tree: 416/416 across eight server files, binary backup 1/1, server types PASS; repeated scopes are not summed. The deferred-retirement P1 reproduced three real-DB/owned-process failures; missing proof stayed unverified. Recovery passed 47 process cases/33 proof negatives. Warning repair binds actual targets to same-run proof. Validation passed 729 scoped UI cases, a separate 359-case thread run, 111 backend cases (84 CAS, 6 assembled, 21 activity/privacy), types/tokens. Proof validators/predicate are unchanged; no new poller or increased timeout. The d8d3 attempt stays FAILED: 45 passes, two workspaces-a failures, derived verify failure and one skip. Both shards shared three failures: two successful mocks omitted the account guard’s required userId. The two-line fixture repair changed no guard, assertion or timeout. Three failures reproduced; 54 access/auth tests then passed, including account-change/denial negatives, plus UI types/tokens. The 69285 attempt stays FAILED: 49 jobs, 46 passed, serialized shard 9 failed, its verify aggregate failed and one selection job skipped. The shard passed 575/576 cases. Its aborted-snapshot case expected nine computes but saw eight: a final HTTP 200 coalesced while seven ordinary reads had not proved the aborted compute settled. Earlier CI and the unmodified local baseline passed with a miss; no local RED is claimed. The repair awaits the snapshot, allows exactly one extra GET if coalesced, then requires a miss and retains nine computes/all HTTP429 assertions. No production code, hook, loop, sleep or timeout changed. Six inbox and seven cache/admission cases passed locally, plus server types; 30 unrelated cases were filtered. Green 36 passed 576/576 without taking the extra-GET branch; local runs also missed that schedule. Current CI event merge 1ea9 now passed 576/576 and naturally exercised the former failure: coalesced (count 2, 1ms), then exactly one fresh miss (count 1, 16ms), with strict nine-compute/HTTP429 assertions intact. No instrumentation or retry was added. Earlier compatibility passed scoped remote/inbox, routine, API-placement and UI tests, plus types/migrations/snapshots/maps/tokens. The 89-path adoption restored fleet routing without workflow overrides or added skips. Each result retains its source identity. Live qualification remains actual `9af1a5de42a2`: unchanged Artifact grader PASSED 17/17 and active-Stop grader PASSED 21/21. All three provider test resources were deleted canonically with GET404; post-delete download returned the exact 27 bytes. Histories stayed stable (Artifact 121 and Stop 67 canonical identities), with 21 company runs, zero active work and no accounting/cancellation/reservation debt or integrity findings. Saved settings reopened; no-prompt Test/Linux admission passed with `claude-sonnet-4-5`. No new Save is claimed. The first Stop sampling case stays FAILED on a 10.373-second gap. Unchanged retry kept all 24 samples: 35.076 seconds quiet, maximum gap 4.584 seconds, plus a separate CANCELLED/artifact-absent read after 180 seconds. Initial grading rejected locator spelling before functional checks; metadata changed only after same-file/inode/byte proof, with raw evidence/oracles unchanged. Original Question/Plan/reconnect and historical deleted-artifact results keep their identities. Git trees verified 11 history-only conflicts and six earlier mainline paths. Hosted 9af to the public BRANCH differs in 222 paths; 13,500 other mode/blob leaves match. Runner runtime implementations and six observer/driver pins match 9af on that branch only; inherited `drivers/acpx/runtime-host.test.ts` differs. No all-Runner/src, CI/latest-master runtime or image equality is claimed. Later static audits through `8ab89f41e499` found no concrete API-only blocker. That base adds completed-history sleep proofs and an MCP cleanup migration; protected Stop/ACK owners are unchanged. These later changes are outside this CI and have no live qualification here. Host duplicate-card and later recovery/UI repairs retain separate proof, not deployed 9af identity. Direct-key coverage requires absent aiConnection; API-only placement skips inherited remote-workspace disk-full paths, and config-read gates match their parent. Other retained failures: stale fixture 132/133; E8 48/135 with 87 reset-hook failures; Mac 17 SQL failures/skips; title/startup/custody/Stop/deletion unknown causes and bounded recoveries; superseded warning/50 duplicate identities; pre-repair ACK/Core CI failures. Fixture RED/GREEN passed 7/7 browser and 121/121 shutdown tests with a failing broken-unsubscribe control; stable WSP wrapper passed 128 after physical teardown failure. No full local-suite pass is inferred. All paid attempts remain recorded; vendor dollar cost is UNKNOWN. ## Risks Experimental: Cursor independently acknowledges neither the effective model nor instruction digest before the first prompt. Explicit values are submitted and behavior checked live; unpriced provider dollar cost stays UNKNOWN. The placement exception applies only to validated native Cursor API execution. Other local work remains denied under managed-only policy. Missing/stale Stop or cleanup proof stays pending; damaged archives remain failed. Explicit Legacy keeps its existing policy owners. ## Model Used OpenAI Codex/GPT-6 family: tools, execution, browser checks, delegated review. API ID/context window unavailable. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used and the limits of available model metadata - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have linked public issues or described the issue in this PR - [x] I have not referenced internal or instance-local Paperclip issues or links - [x] My branch describes the change and contains no internal ticket ID - [x] I have run the scoped local tests reported above; retained failures are stated separately - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation - [x] I have considered and documented the risks - [x] All required CI gates pass on the current head - [x] Fresh Greptile is 5/5 with no unresolved findings on the current head - [x] I will address all 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 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, boxd, 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.
