## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The native runner connects task messages, provider execution, and task outcomes. > - First-time user tests exposed gaps in recovery, completion permissions, message delivery, and Stop behavior. > - These gaps left usable output hidden, completed work waiting for bookkeeping, or safe work unable to continue. > - This pull request fixes the shared lifecycle and receipt paths while preserving process ownership and action checks. > - Users can continue work with accurate task state and durable messages. ## Linked Issues or Issue Description **What happened?** A stopped local Codex execution could remain blocked even after its processes had stopped and its complete transcript proved that no external action needed replay. Claude under Conservative permissions could fail to call task completion tools. Recovery could reuse an assistant item ID and overwrite prior output. A delivered comment could remain marked uncertain after navigation. Stop could look like Pause or a new recovery incident. Workspace contention could look like cancellation. A direct reply reopening Done could enter a clarification loop. **Expected behavior** Recover automatically only with verified termination and complete action receipts. Preserve answers and messages. Keep task completion available under Conservative permissions without broad tool access. Show crashes as Blocked, actual human decisions as In Review, and ordinary workspace contention as waiting. Stop the current response and allow a new direction. **Steps to reproduce** 1. Create ordinary response tasks with local Codex and Claude Code, then send follow-up messages through the task composer. 2. Interrupt a disposable local Codex runner during text-only work. Verify automatic continuation and retained output. 3. Stop a response, send a new request, answer a clarification, and reopen completed work with another message. 4. Navigate or reload while a comment submission is pending. Confirm the exact persisted request receipt settles it without removing newer draft text. 5. Run two tasks in a shared Daytona workspace. Confirm waiting does not appear as failure. **Paperclip version or commit** Initial acceptance baseline: `c9021c6721f91e2c74bd9fee9d3fd41c999d17b7`. Current integration base: `6cef9743c`. Both operator-interruption and workspace-waiting guards are preserved; native restart and legacy permission rules remain documented. **Deployment mode** An isolated source-built test-drive instance, with real local Codex and Claude Code providers and disposable Daytona environments. Related work: #13314, #13316, #13327, #13344, #13239, #13254, #13163. This PR addresses additional failures from ordinary task journeys, including controller restart handoff and repeated warm sandbox setup. Historical task status reconciliation is excluded. ## What Changed - Persist runner ownership immediately at spawn and resume an explicitly adopted runner even when the controller crashed before the first driver checkpoint. Detach the controller safely across graceful restarts, including session startup. Prevent an old finalizer from suspending or signaling an adopted runner. Checkpoint idle warm sessions before shutdown. Preserve the same run and queued follow-up messages. - Scope saved legacy queue successor checks to the queue owner while preserving ordinary task locks, operator identity, assignment gates, and exactly-once delivery. - Preserve managed Codex credential files when an old session is detached for restart; normal owned cleanup still copies refreshed auth back and removes the scoped copy. - Reuse the bound warm shared sandbox and fully verify an existing staged provider pack before using it. This avoids repeated uploads when the pack is already valid. - Add a narrow local Codex replacement path with stopped-process proof, a closed transcript inventory, exact completion receipts, and fresh-session lineage. Preserve no-replay holds when evidence is incomplete. Recovery may clear only the same run's recorded Blocked status version; manual re-blocking and dependency changes invalidate that receipt, while queued comments do not. Later blocks stop scheduled, queued, and final dispatch; queued/final checks re-read dependencies even when the task status stays In Progress. - Permit only task delivery and human-input tools through the isolated Claude runner's exact task bridge. - Scope assistant item identity to the provider turn and ignore only authority-free Codex skill-change notifications during startup. - Reconcile composer submissions by client request ID across response loss, navigation, and reload. Retain text typed during delivery. - Keep acknowledged run-only Stop neutral and show workspace contention as waiting. Project exhausted native failures as Blocked. - Restore the guarded task-page retry action for failed legacy runs, including the server-supported explicit new-attempt path for stopped conversation adapters. Preserve native/process recovery holds and avoid promising Retry while a decision or execution gate hides it. - Refresh delivered artifacts and handle direct user replies that reopen completed work without a clarification loop. - Check the embedded PostgreSQL PID, data directory, and actual port before connecting or migrating. - Document accepted behavior and add focused regressions at lifecycle, route, transcript, and UI boundaries. ## Verification - Final head `fece606ac2` passes the complete GitHub CI matrix: **34 green checks, two expected Storybook skips, no failures or pending checks**, including `ci / verify`, `ci / e2e`, full runner verification, typecheck, build, every server/workspace shard, and all browser shards. [CI run](https://github.com/paperclipai/paperclip/actions/runs/34727183287). Greptile is **5/5 with no open findings**. The final two commits only refine test fixtures; both affected suites pass 24/24 locally and in CI, with server typecheck green. - Complete local Vitest coverage uses the canonical groups/shards: all 635 general server suites, all 145 serialized suites, and all workspace packages. The aggregate began on `0a8001c18` while the final queue fix arrived: 23,903 passed, five failed, 87 skipped. The five port/socket/timing failures passed unchanged in follow-ups (60 tests in the exposure/file suites and 412 tests covering the serialized failures and unrun tails). The final queue/operator-identity suites separately passed 52/52. This is aggregate coverage plus explicit reruns, not a pristine single-command final-head run. - After integration with current master, queue/operator-identity/continuation suites passed 162/162 and affected UI suites passed 140/140. ACP Stop/continuation and legacy task/Inbox/message browser suites passed 9/9, including both task recovery Retry and thread Try again, automatic saved-message delivery, exactly one new run, Done, and retained output after reload. The default process Stop/Pause/Resume browser case passed (the native-provider case is opt-in and skipped by default). The complete Board attachment/receipt browser suite passed 11/11 on a disposable instance, covering both composers, exact receipts after lost responses, no replay, bound attachments, and newer drafts after reload. - Blocking-intent regressions cover pre-existing Blocked, a mismatched run/cause, an explicit manual re-block, changed dependencies, a queued comment after failure, and a block arriving between scheduling and provider dispatch. The negative cases reproduced before the fix. All 478 affected executor/recovery/dispatch tests passed; both database suites ran separately after availability-probe skips in the first combined command. The final late-dependency check passed all 143 affected recovery/dispatch tests (zero skips) after two new negative cases reproduced the bug. - Focused runtime regressions cover awaited runner ownership publication, authenticated adoption before the first checkpoint, old-finalizer detachment, idle and busy warm-session shutdown, rejected checkpoint propagation, provider-pack verification, and managed-Codex credential preservation. Four managed credential detachment cases reproduced the bug before the fix; normal owned cleanup still succeeds exactly once. - Live local Claude: SIGKILL 2.6 seconds into startup recovered the same run automatically in 53 seconds, then a normal follow-up completed in 24 seconds. SIGTERM 2.5 seconds into startup preserved the same run (54 seconds) and its queued follow-up (21 seconds). Answers remained visible and the task reached Done. - Live Claude Daytona: a warm follow-up retained its sandbox and fell from 121 seconds to 44 seconds. A separate cold turn took 127 seconds; after controller shutdown and checkpointing, its follow-up completed in 33 seconds with the same sandbox, workspace, native session, and runner. Both answers remained visible and the task was Done. - Other live journeys covered task completion and follow-up with local and Daytona Codex, local Codex crash recovery, Stop then new direction, clarification response, live artifact refresh, and shared-workspace waiting. - Validation limits: the opt-in native composer Stop/Pause→subtree Resume fixture exposes terminal/result ordering and subtree-cancellation attribution bugs that can leave a child task blocked; that new finding is assigned to a separate follow-up and is not claimed fixed here. Default CI skips this optional native-provider fixture. Managed-Codex credential handoff and the queue-agent integration use automated regression evidence. Cold custom provider-pack uploads still add startup latency. ## Risks - Automatic replacement remains deliberately narrow: local Codex, verified stopped identities, unchanged retained state, and a complete text/completion-only turn. Unknown actions, partial history, or changed ownership remain blocked. - Claude completion permission handling changes an upstream package patch. The exact isolated task bridge must remain pinned; unrelated tools keep their existing permissions. - New task failure projection changes user-visible status. No historical status backfill or database migration is included. - This is a broad lifecycle fix across server and UI. Live proof covers graceful local Claude restart during startup and idle Claude Daytona session recovery across controller shutdown. Live abrupt SIGKILL during local Claude startup also recovered the same run. Unknown ownership or missing action evidence still blocks reuse. Cold custom provider-pack uploads still add startup latency; this change avoids unnecessary repeat uploads. ## Model Used OpenAI GPT-6 (Codex), with reasoning, code execution, browser automation, and tool use. The exact hosted model ID and context window are not exposed in this task. ## 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> |
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README.md
Quickstart · Docs · GitHub · Discord · Twitter · Website
Paperclip is the app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard.
It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.
Manage business goals, not pull requests.
| Step | Example | |
|---|---|---|
| 01 | Define the goal | "Build the #1 AI note-taking app to $1M MRR." |
| 02 | Hire the team | CEO, CTO, engineers, designers, marketers — any bot, any provider. |
| 03 | Approve and run | Review strategy. Set budgets. Hit go. Monitor from the dashboard. |
| Works with |
OpenClaw |
Claude Code |
Codex |
Cursor |
Bash |
HTTP |
If it can receive a heartbeat, it's hired.
Paperclip is right for you if
- ✅ You want to build autonomous AI companies
- ✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
- ✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
- ✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
- ✅ You want to monitor costs and enforce budgets
- ✅ You want a process for managing agents that feels like using a task manager
- ✅ You want to manage your autonomous businesses from your phone
Features
🔌 Bring Your Own AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentEvery task traces back to the company mission. Agents know what to do and why. |
💓 HeartbeatsAgents wake on a schedule, check work, and act. Delegation flows up and down the org chart. |
💰 Cost ControlMonthly budgets per agent. When they hit the limit, they stop. No runaway costs. |
🏢 Multi-CompanyOne deployment, many companies. Complete data isolation. One control plane for your portfolio. |
🎫 Ticket SystemEvery conversation traced. Every decision explained. Full tool-call tracing and immutable audit log. |
🛡️ GovernanceApprove hires, override strategy, pause or terminate any agent — at any time. |
📊 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. |
Problems Paperclip solves
| Without Paperclip | With Paperclip |
|---|---|
| ❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything. | ✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots. |
| ❌ You manually gather context from several places to remind your bot what you're actually doing. | ✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why. |
| ❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents. | ✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts. |
| ❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened. | ✅ Cost tracking surfaces token budgets and throttles agents when they're out. Management prioritizes with budgets. |
| ❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. | ✅ Heartbeats handle regular work on a schedule. Management supervises. |
| ❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it. | ✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work. |
Why Paperclip is special
Paperclip handles the hard orchestration details correctly.
| Atomic execution. | Task checkout and budget enforcement are atomic, so no double-work and no runaway spend. |
| Persistent agent state. | Agents resume the same task context across heartbeats instead of restarting from scratch. |
| Runtime skill injection. | Agents can learn Paperclip workflows and project context at runtime, without retraining. |
| Governance with rollback. | Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely. |
| Goal-aware execution. | Tasks carry full goal ancestry so agents consistently see the "why," not just a title. |
| Portable company templates. | Export/import orgs, agents, and skills with secret scrubbing and collision handling. |
| True multi-company isolation. | Every entity is company-scoped, so one deployment can run many companies with separate data and audit trails. |
What's Under the Hood
Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:
┌──────────────────────────────────────────────────────────────┐
│ PAPERCLIP SERVER │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │Identity & │ │ Work & │ │ Heartbeat │ │Governance │ │
│ │ Access │ │ Tasks │ │ Execution │ │& Approvals│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Org Chart │ │Workspaces │ │ Plugins │ │ Budget │ │
│ │ & Agents │ │ & Runtime │ │ │ │ & Costs │ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Routines │ │ Secrets & │ │ Activity │ │ Company │ │
│ │& Schedules│ │ Storage │ │ & Events │ │Portability│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
└──────────────────────────────────────────────────────────────┘
▲ ▲ ▲ ▲
┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐
│ Claude │ │ Codex │ │ CLI │ │ HTTP/web │
│ Code │ │ │ │ agents │ │ bots │
└───────────┘ └───────────┘ └───────────┘ └───────────┘
The Systems
|
Identity & Access — Two deployment modes (trusted local or authenticated), board users, agent API keys, short-lived run JWTs, company memberships, invite flows, and OpenClaw onboarding. Every mutating request is traced to an actor. |
Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired. |
|
Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. No double-work, no lost context. |
Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce structured logs, cost events, session state, and audit trails. Recovery handles orphaned runs automatically. |
|
Workspaces & Runtime — Project workspaces, isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Agents work in the right directory with the right context every time. |
Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, agent pause/resume/terminate, and full audit logging. Nothing ships without your sign-off. |
|
Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Overspend pauses agents and cancels queued work automatically. |
Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed. |
|
Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it. |
Secrets & Storage — Instance and company secrets, encrypted local storage, provider-backed object storage, attachments, and work products. Sensitive values stay out of prompts unless a scoped run explicitly needs them. |
|
Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why. |
Company Portability — Export and import entire organizations — agents, skills, projects, routines, and issues — with secret scrubbing and collision handling. One deployment, many companies, complete data isolation. |
What Paperclip is not
| Not a chatbot. | Agents have jobs, not chat windows. |
| Not an agent framework. | We don't tell you how to build agents. We tell you how to run a company made of them. |
| Not a workflow builder. | No drag-and-drop pipelines. Paperclip models companies — with org charts, goals, budgets, and governance. |
| Not a prompt manager. | Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in. |
| Not a single-agent tool. | This is for teams. If you have one agent, you probably don't need Paperclip. If you have twenty — you definitely do. |
| Not a code review tool. | Paperclip orchestrates work, not pull requests. Bring your own review process. |
Quickstart
Open source. Self-hosted. No Paperclip account required.
npx paperclipai onboard --yes
That quickstart path now defaults to trusted local loopback mode for the fastest first run. To start in authenticated/private mode instead, choose a bind preset explicitly:
npx paperclipai onboard --yes --bind lan
# or:
npx paperclipai onboard --yes --bind tailnet
If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use paperclipai configure to edit settings.
Or manually:
git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev
This starts the API server at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.
Requirements: Node.js 24.11+, pnpm 9.15+
FAQ
What does a typical setup look like? Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.
If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.
Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.
How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.
Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.
(Bring-your-own-ticket-system is on the Roadmap)
Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.
Importing & Exporting Companies
Export a company to a portable package and import it into any other instance — local or cloud — from a local path or GitHub:
paperclipai company export <company-id> --out ./my-export
paperclipai company import ./my-export --dry-run
paperclipai company import org/repo --target new
The board UI has matching Export and Import pages in company settings: the Export page shows a fidelity panel listing what the bundle will not carry, and the Import page starts imported agents and routines paused by default, with a post-import activation step. See the Importing & Exporting guide for details.
Development
pnpm dev # Full dev (API + UI, watch mode)
pnpm dev:once # Full dev without file watching
pnpm dev:server # Server only
pnpm build # Build all
pnpm typecheck # Type checking
pnpm test # Cheap default test run (Vitest only)
pnpm test:watch # Vitest watch mode
pnpm test:e2e # Playwright browser suite
pnpm db:generate # Generate DB migration
pnpm db:migrate # Apply migrations
pnpm test does not run Playwright. Browser suites stay separate and are typically run only when working on those flows or in CI.
See doc/DEVELOPING.md for the full development guide.
Roadmap
- ✅ Plugin system (e.g. add a knowledge base, custom tracing, queues, etc)
- ✅ Get OpenClaw / claw-style agent employees
- ✅ companies.sh - import and export entire organizations
- ✅ Easy AGENTS.md configurations
- ✅ Skills Manager
- ✅ Scheduled Routines
- ✅ Better Budgeting
- ✅ Agent Reviews and Approvals
- ✅ Multiple Human Users
- ⚪ Cloud / Sandbox agents (e.g. Cursor / e2b / Novita agents)
- ⚪ Artifacts & Work Products
- ⚪ Memory / Knowledge
- ⚪ Enforced Outcomes
- ⚪ MAXIMIZER MODE
- ⚪ Deep Planning
- ⚪ Work Queues
- ⚪ Self-Organization
- ⚪ Automatic Organizational Learning
- ⚪ CEO Chat
- ⚪ Cloud deployments
- ⚪ Desktop App
This is the short roadmap preview. See the full roadmap in ROADMAP.md.
Community & Plugins
Find Plugins and more at awesome-paperclip
Telemetry
Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.
Telemetry is enabled by default and can be disabled with any of the following:
| Method | How |
|---|---|
| Environment variable | PAPERCLIP_TELEMETRY_DISABLED=1 |
| Standard convention | DO_NOT_TRACK=1 |
| CI environments | Automatically disabled when CI=true |
| Config file | Set telemetry.enabled: false in your Paperclip config |
Contributing
We welcome contributions. See the contributing guide for details.
Community
- 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.