## Thinking Path > - Paperclip manages AI agents and their work. > - An agent workflow needs persistent facts and a safe way to transfer work. > - Creating a task for each phase splits the objective, discussion, workspace, and review policy. > - A case can retain the facts while one primary task moves between agents. > - Transfers must survive process failure and preserve private access, budgets, and completion gates. > - This pull request adds durable case handoffs, native case tools, and read-only case pages. > - Prompts describe the workflow. Existing task controls decide when work can run and finish. ## Linked Issues or Issue Description **Problem or motivation** Prompt-driven agent teams need a persistent record that can move through triage, implementation, verification, and correction. Ordinary reassignment does not provide a durable instruction, safe release barrier, or recoverable delivery receipt for an agent handing off its own running task. **Proposed solution** Extend standalone cases with one primary task, a descriptive phase, retained access sources, and a handoff ledger. Apply assignments after source execution and workspace settlement. Deliver each transfer through the existing durable wake queue. Provide `create_case`, `read_case`, `update_case`, and `handoff_case` in the native runner. Creation requires kickoff and explicit workflow text. An explicit handoff to `done` closes the case when normal task completion is accepted. **Alternatives considered** Do not add a workflow engine, filesystem queue, configured state graph, or one task per phase. The workflow document combines transition prose with an optional Mermaid `stateDiagram-v2` map. The server does not execute the diagram. The Pipelines experiment removed on master stays removed. **Roadmap alignment** This extends Agent Reviews and Approvals, Enforced Outcomes, Bounded Run Recovery, and Activity Log attribution. Existing approval, review, budget, privacy, workspace, and responsible-user rules remain authoritative. Related work: [ordinary handoff wake recovery](https://github.com/paperclipai/paperclip/pull/15019). This feature adds a separate persisted case-handoff receipt and release barrier. ## What Changed - Add case routing fields, retained access sources, durable handoff history, delivery leases, and replay-safe migrations. - Keep the same primary task across agent phases. Preserve each returning agent's own session and the task's workspace. - Fence outgoing mutations, wait for provider and workspace release, and recover delivery without duplicate task comments or runs. Recheck current assignment permissions as the original caller before applying a delayed transfer. Scope a run Stop to that run’s own handoff intents, so repeated old Stop requests preserve newer work. Cancelling terminal intent without a source run also requires fenced current task ownership, including native retries and preparation with an old checkout. For Cloud callers, revalidate current stack membership with an uncached Cloud RPC and derive owner elevation from the current managed setting. - Keep case reads, documents, assets, Audit, and live events inside retained task/project permissions. - Add native case creation/read/update/handoff tools. Store required workflow text and initial documents on the first task. Page oversized case facts and referenced document bodies through the dedicated tool with bounded UTF-8 JSON, current routing versions, snapshot conflicts, and current source authorization on every page. - Add read-only case lists and detail pages, task-style list controls, compact dotted field tables, linked handoff tasks, and case filters in Audit. - Add native/legacy integration tests, migration/restart tests, browser coverage, and bounded live receipt fixtures. Extend the trusted sandbox condition to cover the new subscription fixture profile. - Hide obsolete paused-agent warnings on completed or cancelled task threads. - Synchronize the company-switch settings test with React effects after a CI failure. Preserve its security assertions and production remount behavior. ## Verification The branch directly includes master `9ef434fe79`. The required `ci / verify` and `ci / e2e` gates pass on head `765fccd67c`. [Current-head CI](https://github.com/paperclipai/paperclip/actions/runs/39464348614) passes typecheck, build, tests, and all eight browser shards. Security checks pass. [Greptile gives this exact head 5/5](https://github.com/paperclipai/paperclip/pull/16959#issuecomment-6291156549), with no unresolved review threads. The optional Paperclip Review check remains queued because its assigned agent is paused. It is not a required branch check. No check result was overridden. Local workspace typecheck and build pass after the master merge, along with database migration checks, token gates, map checks, Storybook catalog checks, and the Copilot profile identity check. Standard builds refresh Runner vendor output. Focused checks pass 2,008 API/paging/context tests and 7 strict case protocol tests. The final commit changes one test fixture only; its ten tests, UI typecheck, and token gates pass. No production source changed in that commit. On current head `765fccd67c`, all **194 critical workflow tests** executed and passed with no skipped tests in those files: - 38 Stop/ownership tests, including board completion intent, native retries, stale Stop, and preparation with an old checkout. - 2 actual legacy process/HTTP handoff tests, including scratch failure, a closed-stdio child that continues writing, and recovery through a fresh worker after the process group stops. - 5 migration tests, including SQL column metadata, preserved null authority context, and all six prior-numbering receipts. - 3 process-settlement and 5 scratch tests. - 88 handoff-service, 18 heartbeat handoff, and 21 native case-tool integration tests. - 7 bounded case/document-read projection tests and 7 strict protocol-contract tests. The current CI checkout was `fed65d49`, merging `765fccd67c` into master `9ef434fe79`. Its new document regressions reconstruct exact Unicode/escaped bodies and revisions through real native authority and authenticated HTTP with generic API tools disabled. They cover case-owned, primary-task, and linked-task documents; routing on every page; stale document snapshots; access loss and unlinking; unrelated/foreign/private sources; system documents; and quarantined content. Active-task document tools retain their existing behavior. These are current-head test results from the first CI attempt; the browser-only retry did not rerun these suites. The full `64fdd3403f` CI failed one separate settings test: after a company switch, it observed an unsettled API-key draft. The production component and test were unchanged from prior green source. Production switches remount both keyed settings layers; the test directly reused an unkeyed view and used a timer tick instead of waiting for React effects. The final commit replaces that fixture synchronization with React `act`. The exact secret-clearing assertions and all timeouts remain unchanged. The original assertion failure remains recorded; no unchanged retry was used. The narrow unchanged baseline and fixed fixture each pass 10 tests. The upstream result-paging merge preserves case capture namespaces and current asset privacy. Its API integration suite executed 39 of 41 tests successfully, with two skipped; the optional assigned-result PRP integration test was skipped. Neither skipped suite is counted in the 194 critical tests or as live provider proof. All 361 upstream migration entries and SQL bodies remain unchanged. Six case migrations follow master as 0363–0368 with identical SQL hashes. Official Drizzle generators produced the combined metadata and five retained snapshots. Generation reports no schema changes, and the snapshot drift test passes. The earlier `ce361ae5d0` CI passed on attempt 1, including its then-current 179 critical tests. Fresh review later identified unusable document references with generic API tools disabled; the bounded document reads and ten additional authenticated HTTP tests address that finding. The full local `pnpm test:run` attempt was cancelled after this Mac exhausted PostgreSQL semaphore capacity; it is **not** counted as a pass. Later database attempts also stopped before assertions or skipped, including one sandbox socket denial. Two original stale-Stop regressions did reproduce the bug against the old source. A REST serialization assertion passed after two preserved database-startup failures. No test timeout was increased. All 194 assertions listed above executed and passed in current-head CI. The complete 385-file, 3,963-test UI shard also passed after the fixture repair. A configured-provider receipt workflow passed 13 backend checks across triage → implementation → verification → correction → done, using one task and four work runs. The saved receipt is revision 2 with total 6 USD; case and task both closed. The original canonical attempt remains failed because its browser assertion confused the terminal destination with completed-task tooltips. The corrected full browser verifier passed on the same retained database and original runs, with no additional provider calls. The last clean-build browser readback is on `6a86c54a53`; later changes affect recovery, authorization, bounded reads, and settlement. Accounted work cost is a $1.010574 rate-card estimate; provider billing and setup-probe usage are unavailable. Copilot profile 49 passed the unchanged seven-fixture private protocol pack (46/46 checks, no retries) and the product file-edit canary after master's completion-replay change. All 60 bound implementation hashes remain unchanged on the current source. Historical profile-47/48 identities and results remain intact. See the [profile-49 compatibility record](https://github.com/paperclipai/paperclip/blob/codex/persistent-case-handoffs/doc/plans/2026-10-20-copilot-completion-recovery-compatibility-v49.json). This is bounded compatibility evidence, not a fresh full matrix, installed-package product test, or Daytona rollout. Preserved CI failures and retries: - On `20662930ac`, Slack managed setup failed a five-second success assertion after reload. Its test/application path was unchanged from a prior green head. One unchanged-source retry passed all 25 tests in that shard; no source or timeout changed. - On `9402b4f17a`, two CI workers received shutdown signals at 15:24:19 UTC. Neither log had an assertion failure before interruption. One unchanged-source retry of each passed all Runner static checks and all 32 tests in browser shard 6; both aggregates passed. The next head, `7b4374edaf`, passed all CI without retries. - On `295f289b5a`, serialized shard 9 timed out during its first device-login test, then the next test found an active login lease. Direct login/test paths were unchanged from a prior green head. Cold import plus a timed-out async body using the next test's mutable actor/store is the supported fixture-race explanation; no request trace proves that sequence. The original failure remains recorded. One unchanged-source retry passed all 294 tests in 19 files, including all 41 device-login tests. No login source or timeout changed. The subsequent `ce361ae5d0` CI passed without retries. - On `64fdd3403f`, one company-switch settings assertion observed an unsettled draft. The final test-only commit uses React `act` without changing assertions, timeouts, or production code. On `765fccd67c`, all ten settings tests and the complete 385-file, 3,963-test UI shard passed. - On `765fccd67c`, browser shard 3 completed the split-handoff assertions, then cleanup received HTTP 500 from run cancellation after a one-second PostgreSQL row-lock timeout. The extra chat run was reporting completed work while teardown began. Cleanup stopped before restoring a global experiment flag, causing a later assertion to fail. Relevant production and test paths are unchanged from an earlier green commit. Stop's lock order is consistent, and no nested self-lock was found; the exact PostgreSQL blocker was not recorded. One unchanged-shard retry passed. The original failure, trace, and downstream flag failure remain recorded. No Stop implementation, cleanup assertion, or timeout changed. The retry supports intermittent cleanup contention; it does not identify the original blocking transaction. ## Risks - Local process transfers require host-owned PID/group absence. Missing or uncertain termination evidence keeps delivery pending, independently of scratch setup. - Handoff admission and task cancellation share execution ownership. New regression tests cover temporary holds, late source writes, and uncertain provider termination. - Retained private sources use an intersection of existing permissions. This intentionally fails closed when a source is missing or an existing task cannot preserve that boundary. - Migrations add tables and indexes. They preserve master history and can replay over prior feature installs. Migration 0368 adds nullable internal authorization provenance with no default or authority backfill. Historical transfers still awaiting release without this context fail closed; an operator must cancel them and request a new handoff. - Delayed Cloud handoffs depend on the current Cloud membership RPC. An unavailable, ambiguous, expired, or mismatched response holds the handoff for retry; it does not reuse cached authority or grant access. - Bounded reads reload and reauthorize the selected projection per page. Underlying work grows with the data size and number of pages. Changed data or routing requires restarting from offset zero without the old snapshot. - Phase names and workflow diagrams remain advisory. They do not satisfy review or approval gates. - This is a large, cross-cutting PR. The maintainer requested one PR for the whole feature; the commits separate data, runtime, UI, and qualification work. ## Model Used OpenAI Codex, GPT-6 family, with tool use, code execution, and delegated code review. The exact deployment model ID and context-window size were not exposed in the session. Live fixture agents used the explicitly configured provider model recorded in their test evidence. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
Quickstart · Docs · GitHub · Discord · Twitter · Website
Sign up for the Paperclip Cloud waitlist →
Paperclip is the app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.
Manage business goals, not pull requests.
| Step | Example | |
|---|---|---|
| 01 | Define the goal | "Build the #1 AI note-taking app to $1M MRR." |
| 02 | Hire the team | CEO, CTO, engineers, designers, marketers — any bot, any provider. |
| 03 | Approve and run | Review strategy. Set budgets. Hit go. Monitor from the dashboard. |
| Works with |
OpenClaw |
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, 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
Star History
Open source under MIT. Built for people who want to get work done, not babysit agents.
