## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Paperclip Runner drives Claude through the ACPX sidecar. The sidecar's MCP endpoint lasts for the whole session, so it cannot tell which turn sent a late tool callback. > - Because of this, the Runner reaps the sidecar and provider of a generation that ran a turn before it releases call-ID tombstones and rotates receipt epochs. Today this restart runs at the start of the next turn. > - Every follow-up turn in a run pays that restart on its critical path: about 1.5 s with real Claude. #20145 moves the restart to park, but a second turn in the same run, after the first turn that follows an attach, still restarts cold. > - The restart does not have to wait for the next turn. When a turn settles and the host has its terminal result, the Runner is idle. > - This pull request restarts the provider at that point. The next turn, or the next park, then finds a fresh generation. > - The benefit: same-run follow-up turns start without a restart, park does no restart after a settled turn, and the late-callback guarantee is unchanged. ## Linked Issues or Issue Description Refs #20145, which moved the restart to park. This pull request builds on it. No public issue exists, so the problem is described here. **Subsystem affected** Paperclip Runner, ACPX provider (Claude). **Current behavior** `AcpxProviderSession::start_turn_timed` restarts the provider before any turn whose generation already ran a turn. A follow-up turn in the same run waits for `session.suspend`, sidecar shutdown, a new sidecar, `initialize`, `session.open` and `run.attach` before `turn.start`. Since #20145, park does the restart instead, but only for the first turn after an attach. **Proposed behavior** When a turn settles and the controller has ACKed every committed event, the Runner restarts the provider. The next `turn.start` uses the fresh generation and only rotates receipts. Park reuses the fresh generation and does no second restart. **Reason and benefit** The restart leaves the turn's critical path, both for same-run follow-ups and for the turns after a park. The order of reap and rotation stays the same, so a late callback from the reaped generation still cannot reach a later turn. ## What Changed - **Runner loop** (`durable/runner.rs`): new `CommandExecutor::prepare_next_turn` hook, a no-op by default. The runner calls it after the idle provider poll, only when no control frame is waiting and the controller has ACKed every committed event (`acked_source_seq >= highest_source_seq`). So the restart always runs after the terminal result reaches the host. - **ACPX turn-end restart** (`acpx_park_preparation.rs`, `acpx_provider_generation.rs`): - `restart_session_after_turn` restarts a Claude session that has a completed turn, nothing pending, no buffered events, a dormant goal and its whole event tail ACKed. It first settles an abandoned park observation. If that settlement reads more events, it skips this round, and the next idle round restarts after those events are ACKed. - `AcpxProviderSession::restart_after_turn` does the same suspend → reap → start → bootstrap → identity check as the turn-start restart. It records the reaped process id in `restarted_after_turn_from`. This field is the explicit "fresh because of a turn-end restart" marker. - The session does not poll a fresh generation until its next turn or rebind, the same as a prepared one. Its startup output is published with the next turn, as today. Polling it early would add events after the host computed its park cut. - **Next turn** (`acpx_provider_session.rs`): `start_turn_timed` restarts only when the generation ran a turn. When `restarted_after_turn_from` is set, it does the post-restart receipt and ledger rotation without a second restart. `session.reconciled` reports the reaped process as `previousProcessId`. - **Park**: `prepare_next_generation` restarts (with the 20 s park deadline) only if no turn-end restart ran. Otherwise it marks the generation for `run.attach` rebind and returns `false`, so the runner does not ask for a second park proof. The park-time receipt rotation moves to the next turn start, where the turn-end path does it too. - **Restart failure**: the executor sets the same state that a failed turn-start restart leaves (`closed`, no session, provider exit confirmed). The next `turn.start` fails with the same `ACPX turn start failed closed: …` error that the turn-start restart gives today. - **Fake sidecar**: new `pending-input` fault, which opens an input request in a turn that then completes. ### Races | Race | Handling | | --- | --- | | A turn or steer arrives during the turn-end restart | The runner loop is single-threaded. The command waits in the socket until the restart returns, then starts on the fresh generation without a restart. Only one generation is live. | | A turn arrives before the hook runs (for example, in the same read as the ACK) | Control frames go first, so the turn restarts at its start, as today. The hook then restarts after that turn. | | Park arrives during the turn-end restart | Host control is read at the top of the loop, so park waits. Park then reuses the fresh generation. No event is published in between, so the host's park cut still matches. | | Park arrives before the hook runs | Park restarts with the 20 s deadline, as in #20145. The hook then finds a fresh generation and does nothing. | | Eviction, `runner.suspend` or retire after the restart | They reap the fresh generation through the ordinary paths. | | The restart fails | The session is `closed`. The next turn fails with the same error and the same durable state as a failed turn-start restart. Park returns conflict, as it does for a closed session today. | | Cancellation | `run.cancel`, `turn.interrupt` and `turn.stop` after the restart return `already_settled`, as after any settled turn. A cancellation that retires the runtime closes the session, so no restart runs. | | Interrupted, cancelled or failed turn | `completed_turn_observed` is false, so no turn-end restart runs. The next turn restarts at its start, as today. | | Pending permission or input requests at the terminal | The reducer ends them at the terminal, so the restart runs. A later `request.resolve` fails with `no active turn`, with or without the restart. | | Active session goal at the terminal | No restart, because the goal can keep working after its prompt. | ### Removed as redundant, and what stays - **Removed:** the park-time restart and dormant verify when a turn-end restart already made the generation fresh. The runner's `host_park_ready` proves dormancy just before `prepare_for_park`, and nothing runs in between. - **Removed:** the runner's second park proof in that case, because the provider did not change. - **Removed:** the park-time receipt and ledger rotation. The next turn start does it once, for both paths. - **Kept: the turn-start restart.** Without it, a turn queued before the hook, a turn after an interrupted or cancelled turn, a turn after an active goal, and any non-Claude ACPX turn would run in the generation that ran the previous turn. Tests cover the queued-turn and interrupted cases. - **Kept: the park-time restart.** Without it, a park that arrives before the hook would leave the next run to restart at attach. A test covers this. - **Kept: the settlement of an abandoned park observation.** Without it, the restart drops events that the old generation sent before the abandoned response. A test covers this, and it fails with the settlement removed. - **Kept: the goal-dormancy check.** Without it, the restart kills an active goal's autonomous work. A test covers this, and it fails with the check removed. - **Kept: the ACK gate.** Without it, the restart can run before the host has the terminal result. A runner test covers this. - **Kept: deferred polling of the fresh generation.** Without it, its startup event lands after the host computed its park cut, and the park conflicts. - **Kept: the kept failure message.** Without it, the next turn fails with `ACPX session is not open`, and the restart error is lost. ## Verification - `cargo test -p paperclip-runner-core --lib` and every `tests/acpx_*.rs`, `native_provider_backend` and `durable_recovery` suite: all pass (debug). - New tests (`tests/support/acpx_turn_end_restart.rs`, run from `acpx_park_preparation`) prove these points: - A settled turn reaps the old pid before it spawns the new one, and no predecessor is still live. A same-run follow-up then sends only `turn.start` and reports the reaped pid in `session.reconciled`. - Park after a turn-end restart sends no sidecar command and returns `false`. Attach rebinds the same pid. The run's second turn restarts at its end, and the third turn starts without a restart. - The reaped generation's late callback never reaches the next turn. - A turn that arrives before the hook restarts at its start. A park before the hook restarts once. - A failed turn-end restart gives the same next-turn error, retry error, durable state and process count as a failed turn-start restart. - Cancellation after the restart is `already_settled`. `runner.suspend` reaps the fresh generation. - An active goal skips the restart. An input request open at the terminal behaves the same with or without the restart. - `acpx_provider_turns`: a session-level turn-end restart drops the old generation's late `issues.delete` callback, which reuses the previous turn's call ID. The next turn then admits that call ID from the fresh provider. Interrupted and retired turns do not restart at turn end. - `acpx_park_readiness`: a turn-end-restarted generation is park-ready. An abandoned park observation tail is delivered before the restart. - `durable::runner`: the hook runs only after the terminal is ACKed and when control is idle. It never runs during ACK debt, a waiting control frame or a disconnect. - Server integration tests (`plugin-runner-release-resume`, `plugin-runner-eviction` and `plugin-runner-task-warm`) with this branch's Runner: 49 passed. The provider process counts do not change: each released run still adds one process start, now at turn end instead of at park. - `cargo fmt --check`: clean. - Fake-sidecar timing (release build, 7 runs, medians): | | before (`master` with #20145) | this PR | | --- | --- | --- | | same-run follow-up `turn.start` → `turn.started` | 51.5 ms | 22.0 ms | | second turn after an attach, `turn.start` → `turn.started` | 270.3 ms | 23.5 ms | | turn-end restart, after the terminal is ACKed | — | 29.0 ms | | park preparation after a settled turn | 34.1 ms | 0.03 ms | - Real Claude: not run for this pull request. With real Claude, the restart took about 1.5 s on the turn-start path, and this change takes it off that path. That number is not measured on this branch. ## Risks - A run that ends after one turn without a park now starts one extra sidecar that no turn uses. The Claude CLI itself starts only at the first prompt, so the cost is the sidecar's start and bootstrap. - The restart blocks the Runner loop for its length (about 1.5 s with real Claude), as the turn-start restart does today. It has no deadline, as before. A park that arrives during it waits, inside the host's 30 s park wait. - The fresh generation is not polled until its next turn. If it exits while idle, the next turn finds out at `turn.start` and fails closed. Park finds out at its observation. - The turn-end restart is for Claude only, the same as park preparation. Other ACPX agents keep restarting at turn start. - If the Runner crashes during the restart, the durable state still says `session_open`. Recovery is the same as for a crash while idle. ## Model Used - Claude Opus 5.5 (`claude-opus-5-5`), in Claude Code with tool use (shell, file edits, local test runs). ## 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 - [ ] 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 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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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.
