## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Product and agent access maps describe the same capability IDs. > - Agent connection management changes the callable operations and permission boundaries. > - Reviewers need an operation inventory that distinguishes API access, human handoffs, and fixture evidence. > - This pull request adds saved setup screens and updates the maps for #17737. > - The benefit is that users and contributors can inspect the coverage and remaining boundaries. ## Linked Issues or Issue Description **Subsystem affected** Product and permission documentation, saved authentication setup UI and consent metadata, and product/agent access maps. **Problem or motivation** The current maps describe board-only management paths. They need to match delegated connection management and distinguish administration from ordinary tool execution. **Proposed solution** Record route operations, required grants, responsible-user limits, transport, saved authentication handoffs, provider-fixture evidence, and explicit local-operator boundaries for every connection family. **Roadmap alignment** This is the documentation companion to #17737. It covers existing Connected Apps, governed MCP gateways, chat channels, and personal/shared AI accounts. It uses existing server setup operations and adds their saved handoffs to the existing UI. ## What Changed - Show saved AI sign-in and connection setup handoffs in the existing UI. - Open GitHub import and rotation links at the required human step. Resume a committed rotation after reload without asking for another secret. - Restore saved Google service choices for the addressed user while preserving newer consent. Successful direct/cloud consent records its own timestamp, independently of refresh or lease writes; existing refresh paths preserve it. - Update product, implementation, and permission-default documentation. - Reconcile app permissions, connection setup, chat channels, profiles/gateways, and model account coverage. - Use matching capability IDs in the product and agent access maps. - Label source-reviewed operations separately from fixture-tested operations and live provider setup. - Preserve catalog creator attribution under the responsible user, with the actual agent still recorded. This follow-up moved from the implementation to keep both reviews below 100 files. This companion now changes 38 files, including the preserved Vercel personal-credential and OAuth callback attribution follow-ups alongside consent and catalog ownership. - Name the addressed-human browser-session and consent step for Slack managed authorization and installation. Preserve source-only evidence for those individual operations. ## Verification - Current companion head: `04d40cdd605452d91cf4931476eb292a210825af`, including implementation `2ecd6451d0` and master `ea727dc3c2`, 38 files. All intended companion files survive: 35 are byte-identical to the previous companion; two chat maps and qualification add current evidence. Exact-head Superagent passed and Paperclip Review supplied an actual neutral5/5 assessment with no findings and explicit no-independent-runtime/live/current-CI verification limits. Exact-head Greptile also completed at5/5 with no findings; both formerly failed shards and their verification aggregate passed on attempt2; full exact-head Linux CI workflow40446969603 completed SUCCESS. All current checks and statuses are terminal clean, with no unresolved findings. This PR remains dependent on #17737 and needs fresh checks after its required post-squash replay. The preceding 605 head’s reviews are historical after this update. Older b0ea Linux workflow success after its single rerun also remains historical. - Earlier preserved-stack verification passed **2,165 tests**: 70 assembled-server actual-auth scenarios, 27 OpenAPI contracts, 2,022 native API tests and 46 saved GitHub wizard cases in fresh PostgreSQL. The parent also passed **141 existing gateway/policy tests**. Workspace typecheck/build, maps and token gates passed. The initial typecheck IPC denial and all material intermediate regressions remain in the qualification record; no full local sweep or live provider setup is claimed. - Operation maps now cover issuer/target gateway policy intersection and post-approval revocation, bounded activity pagination through private-only windows, and native local-login encrypted receipts. The companion preserves the Vercel OAuth callback ownership change with its existing credential ownership follow-up. - Parent CI has one retained connection-intent e2e failure from a periodic-recovery timing race. GitHub refused the first job-rerun attempt while its workflow was nonterminal. Once completed, the single failed-job rerun was accepted as attempt 2 and passed, including the full parent Linux workflow. - Companion Linux server shard 4/12 retained a cleanup-idleness timeout in `login-cleanup-work.test.ts` (active work was still 1 after its five-second wait). The same unchanged cleanup suite passed all 16 cases in the parent Linux job 121950185096 and all 16 cases locally against a fresh disposable PostgreSQL database. Relevant cleanup/reaper/scheduling runtime code is unchanged. The single unchanged-code failed-job rerun was accepted as **attempt 2** on the previous `b0ea3c940f` head (workflow 40431671705). The failed shard and complete Linux workflow passed on attempt 2; no additional unchanged-code rerun was used for this failure. The first local attempt failed the existing dedicated `_test` database-name guard before running tests; the correctly named fixture passed without weakening the guard. - **Earlier 82 GitHub UI tests passed**. All three new replacement cases were red before the fix. A confirmed unchanged generation preserves the earlier copy; a changed or unreadable generation blocks copying and reconnecting. An explicit status check can restore the copy when it is still current. All earlier import, rotation, verification, and retry states remain covered. - The complete stack passed **82 API/OpenAPI tests** in fresh PostgreSQL, including 55 scenarios with real agent keys, run JWTs, human sessions, production defaults, persistence, and deterministic providers. The parent also passed **60 Copilot installation tests**, preserving published v62 and binding combined guidance as v63. - **Earlier 10 focused Google/OAuth tests passed**: eight picker cases and two local-HTTP protocol cases proving consent metadata survives concurrent token refresh. The refresh and legacy UI cases were red before the fix. These protocol fixtures use the existing injected board actor and do not count as agent-authenticated proof. - Workspace typecheck/build passed after the consent change; normal migration generation reported no SQL changes for the additive JSON metadata. The parent's latest caller-authorization correction passed server typecheck/build. Map validation and token gates passed. Maps cover 35 areas and 192 capability IDs. The specification names migration `0380_broken_aqueduct.sql`. - The test-call operation maps now record the full caller/target tool access decision (profiles, policies, and explicit grants), credential identity for every auth label, approval, and rate checks. The profile-only precondition was removed after the new permitted-access cases failed; those cases and the no-auth identity regression now pass. Saved test status requires its originating principal and current linked-task access; actual key/JWT privacy-denial evidence is recorded. - Tool-connection activity is now operation-verified: 100 events over two tasks require two capability decisions and at most two run captures (previously 100/102), preserve private-event filtering, and deny the next request after audit revocation. The regression was red before the fix. - Cloud enrollment creation and callback entries now name instance-administrator and company/principal checks. The callback is a browser return with HTML or a 303 redirect. Status reads retain their separate board-actor rule. - Operation maps identify the API, transport, authorization, evidence, and human/operator boundaries. Structural checks do not establish live provider behavior. Earlier failures and fixture corrections remain in `doc/plans/2026-10-13-connection-api-parity.md`. - An earlier companion head (`26edbe17`) received an actual Paperclip Review assessment of 5/5 with no actionable findings, published with neutral status. That review did not run tests or confirm CI, and it is historical for this new head. The prior incomplete execution result is not counted as a passed assessment. Fresh review remains pending. The duplicate enrollment findings have explanatory replies and are resolved. - The latest implementation correction passed all 55 actual-auth scenarios and 27 OpenAPI contracts (separate commands). It repairs unavailable old credential material, preserves fresh import versus configured reconnect links, and distinguishes credential field sets/completion modes in handoff keys. The new fresh-link and collision cases were red before the fix. All 41 GitHub wizard tests now pass, including filling the fresh saved handoff and asserting App import rather than reconnect; UI typecheck, maps and token gates also pass. Qualification retains the earlier failures and an incorrect OpenAPI filename that selected only the integration module before the correct separate contract run. - Configured GitHub credential-entry links carry canonical requested fields and all/any mode. The form displays and submits those values through human reconnect while retaining other saved credentials. Two webhook/client-secret cases were red before the fix; combined all/any and legacy-link cases also pass. The current UI fixes the oldbf760912baseline referenced by the duplicate main review finding. - After merging masterbaec3abd67and regenerating migration0380, the complete stack passed **128 tests** (55 actual-auth, 27 OpenAPI and 46 GitHub wizard cases), workspace typecheck/build, maps and token gates. Eight current Google UI cases also passed. The two local-HTTP OAuth cases could not initialize embedded PostgreSQL in this fresh attempt, so that attempt is not a protocol pass; the earlier ten-case evidence is historical and fresh Linux CI remains required. - The reproduced Linux automatic-Slack challenge failure is fixed by retaining verification only for the same signing fingerprint and callback URL; all eight neighboring provider compatibility cases pass. Qualification also retains the uncommitted GitHub field variant that failed initial-secret compatibility before the extension was narrowed to reconnect, and the first unmigrated external-database diagnostic. Upstream 0379 remains intact; normal generation/pruning produced additive/idempotent 0380, with repeated application verified. - Both PRs must ship together. The user authorized merging when checks pass. Merge #17737 first, replay only this companion's changes onto master, retarget this PR, and require fresh current-head CI and review before its squash merge. - The updated maps distinguish authorized bot-token/API-key setup from human verification-key entry and forbid generic channel secret-reference replacement. Actual key/JWT security baselines were red before both guards; all 82 API/OpenAPI cases, eight native receipt protections, and 49 policy-service tests now pass. The qualification record preserves the initial lifecycle/fixture/union-assertion diagnostics and the preceding Linux CI assertion failures. Maps pass on this updated stack. Fresh exact-head CI and reviews remain required. - The parent now preserves a per-field credential-change boundary before retiring saved credential-entry cards. Old health, unchanged entry, unrelated repair and retries cannot bypass it. Current authority is checked before and inside credential persistence; a real provider-time revocation regression was red before the fix. Final 82 API/OpenAPI tests, four neighboring lifecycle cases, and server typecheck/build pass. Maps pass, and qualification retains the hidden-metadata fixture failure and the measured minute-boundary rate-test failure. Production rate behavior is unchanged; only the relevant test Date clock is fixed. - After the current master/parent refresh, all **341 affected UI cases**, combined workspace typecheck/build, maps and token gates pass. The updated parent also passed **97 actual-auth/OpenAPI cases**, **141 gateway/policy cases** and **61 profile installation cases**. Published upstream Copilotv62/v63 remain unchanged; combined guidance is now v64 (`sha256:22e31f95ef972bcead98a4a707c9f33433558fd111e390e027a2bbb4346e112a`). Qualification retains the initial source-identity failure and fixture port/migration setup failures. No full local sweep, fresh local OAuth protocol run or live acceptance is claimed; fresh Linux CI must qualify this successor. - Latest review follow-up: the parent fixes caller-policy bypass in Slack tests/invitations and premature identity-handoff completion. The maps now name caller/target Block/Ask/rate intersection, one charge for a shared bucket, and the addressed human’s exact current identity link. Parent verification passes all **99 actual-auth/OpenAPI tests**, typecheck and build. The preserved combined companion passes the four focused tests (including twelve Slack policy/recipient combinations and the actual human OAuth confirmation path), workspace typecheck/build and maps. The 50 embedded-PG continuation cases were skipped locally because their database could not start; fresh Linux CI remains required. All material red/intermediate results and corrected-fixture evidence are retained in the qualification record. - Current `04d40cdd60` CI workflow40446969603 retained two new failures: server1/12 `workspace-runtime.test.ts` could not reach a fixture subprocess’s health endpoint within its ten-second readiness window (job122001926052), and chat2/3 `wakes Slack session sync from publication commit and leaves settled action queues quiet` observed one select after its idle predicate (job122001925936). Both same cases passed in parent `2ecd6451d0` Linux jobs122001920494/122001920581. The runtime and queue implementations are unchanged by this companion. Both failing cases also pass unchanged locally: two real-subprocess runtime readiness/reuse tests and the exact Slack quietness assertion against a fresh migrated PostgreSQL database. Logs: `/tmp/parity-04d-server1-failure.log`, `/tmp/parity-04d-chat2-failure.log`, `/tmp/parity-2ecd-server1-green.log`, `/tmp/parity-2ecd-chat2-green.log`, `/tmp/parity-04d-runtime-qualified.log`, `/tmp/parity-04d-chat-quiet-qualified.log`. The single standard unchanged-code failed-job rerun was **accepted as attempt2** on the unchanged exact head at `2026-10-27T04:24:30.513973+00:00` after the workflow completed. Both new failure retry allowances are now **consumed**; both failed shards and the complete Linux workflow have now passed on attempt2, including the verification aggregate. No additional unchanged-code rerun will be requested for either failure. No timing, assertion, idle-work guard or policy was weakened. If either case fails again, investigate/fix rather than rerun again. The older 5b/b0ea rerun allowances remain consumed and separate. ## Risks - Saved handoff links depend on the API changes in #17737, including the nonsecret credential-generation metadata. Both PRs must ship together. - A map can overstate operation coverage. Entries identify their evidence and retain human authentication and trusted-host limits. - Structural map checks do not prove live provider behavior. ## Model Used - OpenAI Codex, GPT-6 family, with reasoning, repository tools, and code execution. The runtime does not expose a more specific deployment ID or context-window size. ## 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 — focused UI/guidance and map checks - [x] I have added or updated tests where applicable — saved setup UI tests and map validation apply - [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 — exact `04d40cdd60` full Linux CI completed SUCCESS on attempt2; all current checks/statuses are terminal clean, with an actual neutral5/5 Paperclip assessment - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups — exact `04d40cdd60` review completed with no findings - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
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Paperclip is the app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.
Manage business goals, not pull requests.
| Step | Example | |
|---|---|---|
| 01 | Define the goal | "Build the #1 AI note-taking app to $1M MRR." |
| 02 | Hire the team | CEO, CTO, engineers, designers, marketers — any bot, any provider. |
| 03 | Approve and run | Review strategy. Set budgets. Hit go. Monitor from the dashboard. |
| Works with |
OpenClaw |
Claude Code |
Codex |
Cursor + Cloud |
Gemini CLI |
OpenCode |
Pi |
Hermes + Gateway |
Grok Build |
Kimi Code |
If it can receive a heartbeat, it's hired.
Custom processes, HTTP endpoints, and external adapter packages extend the roster. See the adapter overview for setup and capabilities.
Paperclip is right for you if
- ✅ You want to build autonomous AI organizations
- ✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
- ✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
- ✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
- ✅ You want to monitor costs and enforce budgets
- ✅ You want a process for managing agents that feels like using a task manager
- ✅ You want to manage your autonomous businesses from your phone
The four pillars
Four things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.
| Pillar | Built for | What it covers |
|---|---|---|
| Agentic Task Manager — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |
| Org Chart for Agents — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |
| Agent Employee Training — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |
| Agentic OS — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |
Features
🔌 Bring Your Own AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentLink tasks and projects to your organization goals. Agents receive the goal context behind their work. |
💓 HeartbeatsAgents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart. |
💰 Cost ControlCompany, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits. |
🏢 Multi-OrganizationOne deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each. |
🎫 Task ThreadsKeep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people. |
🛡️ GovernanceConfigure review and approval stages, approve hires, and pause, reassign, or stop work when needed. |
📊 Org ChartHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description. |
📱 Mobile ReadyMonitor and manage your autonomous businesses from anywhere. |
🔗 Apps & ConnectionsConnect services such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off. |
👥 Shared Agents, Personal AccountsChoose who can use a connection and which agents can access it. Managed GitHub operations can use the account of the person directing the work. |
🧠 Skills & Skill StudioInstall or write shared skills, test them with saved inputs, inspect results, and restore earlier versions. |
📅 Scheduled RoutinesRun recurring work on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history. |
📎 Artifacts & FeedbackFind the files and documents agents produce. Preview supported formats and leave comments on specific passages in documents. |
📦 Ready-Made TeamsPreview and install teams with roles, skills, projects, and routines. Choose their runtimes and make the setup your own. |
Experimental Agent Chat and chat/email connectors add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.
Problems Paperclip solves
| Without Paperclip | With Paperclip |
|---|---|
| ❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything. | ✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots. |
| ❌ You manually gather context from several places to remind your bot what you're actually doing. | ✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why. |
| ❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents. | ✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts. |
| ❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened. | ✅ Spend tracking, budget alerts, and automatic pauses help you control the cost of ongoing work. |
| ❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. | ✅ Routines create assigned tasks on a schedule, with outputs and run history you can inspect. |
| ❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it. | ✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work. |
Why Paperclip is special
Paperclip handles the hard orchestration details correctly.
| Atomic task checkout. | A single assignee and execution locks prevent competing runs from claiming the same task. |
| Persistent work context. | Tasks, comments, and documents stay in Paperclip. Supporting adapters resume saved sessions across runs. |
| Runtime skill injection. | Agents can learn Paperclip workflows and project context at runtime, without retraining. |
| Governance with rollback. | Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely. |
| Accountable connections. | Human access, agent eligibility, and gateway action permissions are separate controls. Approve a call once or save a revocable rule. |
| Goal-aware execution. | Linked tasks and projects carry goal ancestry so agents see the "why," not just a title. |
| Portable company templates. | Export/import orgs, agents, and skills with secret scrubbing and collision handling. |
| Organization boundaries. | Company-scoped access checks keep each organization's work, agents, and activity separate within one deployment. |
What's Under the Hood
Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:
┌──────────────────────────────────────────────────────────────┐
│ PAPERCLIP SERVER │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │Identity & │ │ Work & │ │ Heartbeat │ │Governance │ │
│ │ Access │ │ Tasks │ │ Execution │ │& Approvals│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Org Chart │ │Workspaces │ │ Plugins │ │ Budget │ │
│ │ & Agents │ │ & Runtime │ │ │ │ & Costs │ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Routines │ │ Secrets & │ │ Activity │ │ Company │ │
│ │& Schedules│ │ Storage │ │ & Events │ │Portability│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
└──────────────────────────────────────────────────────────────┘
▲ ▲ ▲ ▲
┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐
│ Claude │ │ Codex │ │ CLI │ │ HTTP/web │
│ Code │ │ │ │ agents │ │ bots │
└───────────┘ └───────────┘ └───────────┘ └───────────┘
The Systems
|
Identity & Access — Two deployment modes (trusted local or authenticated), human roles and permissions, agent API keys, short-lived run JWTs, company memberships, and invite flows. Responsible-user attribution follows work through delegation and supported managed connections. |
Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired. |
|
Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. Search across work, review document revisions, and leave anchored feedback. |
Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce logs, usage records, and adapter-specific session state. Bounded recovery handles supported failures and surfaces cases that need human action. |
|
Workspaces & Runtime — Project repositories and workspaces, optional isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Sandbox providers extend execution beyond the local host; availability depends on the configured environment and adapter. |
Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, and agent pause/resume/terminate. Configured task reviews govern completion; connection action approvals govern calls through the tool gateway. |
|
Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Enforcement uses recorded spend; usage reporting and in-flight work can delay a stop. |
Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed. |
|
Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it. |
Secrets & Storage — Company secrets and per-person secret values, encrypted credential storage, local or S3-compatible file storage, attachments, and work products. Secret references supply credentials to authorized runs without copying values into ordinary agent configuration. |
|
Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why. |
Company Portability — Preview, export, and import organization packages with agents, skills, and optional projects, routines, tasks, and attachments. Referenced secret values are omitted; review packages before sharing because plain environment values and local paths can remain. Packages share an operating setup; full-instance recovery uses backups. |
What Paperclip is not
| Not just a chatbot. | Conversations stay attached to tasks, plans, decisions, and outputs. Experimental Agent Chat can hand work off to assigned tasks. |
| Not an agent framework. | We don't tell you how to build agents. We tell you how to run a company made of them. |
| Not just a workflow builder. | Routines 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.
