DottaandPaperclip 8049fbf51d fix(server): schedule voice call reports from saved deadlines (#17586)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Voice calls retain reports and project guest transcripts into intake
tasks.
> - Chat maintenance repeatedly scans recent calls even when no report
is due.
> - Empty scans keep the tenant database active.
> - Existing session and report rows already contain the work and its
deadlines.
> - This pull request moves report refresh to the shared coordinator and
removes the final voice maintenance lane.
> - Idle voice configuration and old call history no longer cause report
scans.

## Linked Issues or Issue Description

Refs #17583, #17580, #17578, #17576. This is slice 25 of the
recurring-server sleep stack. It now follows merged #17583 and targets
master.

**What existing behavior does this improve?**

Voice call-report refresh and guest transcript projection.

**Current behavior**

The chat interval scans terminal calls for reports. It repeats the scan
even when there are no eligible calls or all saved deadlines are in the
future.

**Proposed behavior**

Committed session transitions and signed callbacks wake a scoped worker.
Startup reconstructs existing rows. Later refreshes use saved deadlines.
The worker becomes quiet after all eligible windows expire.

**Reason and benefit**

Stop empty database scans without losing late transcript and billing
updates. Keep the existing 24-hour refresh policy, provider response
ordering, and guest-task trust restrictions.

## What Changed

- Add a voice-owned report worker using the existing scoped deadline
helper. No queue table or field is added; the existing session table
receives a report-window index.
- Save each attempt and its retry before provider I/O. Compare that
ownership on settlement so an older response cannot overwrite a later
callback or claim.
- Preserve available reports when a response is incomplete or stale.
Preserve their finite refresh window.
- Route voice-change and reply call-ended writes through
transaction-aware report signals.
- Preserve guest transcript locks and use the observed document revision
when updating an existing transcript.
- Register the worker in app startup. Remove voice reconciliation from
the chat interval. Keep explicit one-shot diagnostics.
- Document producer scope, lifecycle behavior, tests, and external wake
limits.

## Verification

Published head: `758cfe15c3e6283d38ba512c8416ccce4d200862`. The
follow-up after `c28de398` changes only two documentation files; the
verified production, migration and test source is unchanged. It normally
merges landed retention/master
`980775e0e956eecdc28c73c9b4aca0407ad45e1a`. The 20 owned paths remain
the complete slice, including officially regenerated migration 0397, its
snapshot and required pruning of snapshot 0392. The non-database
reviewed patch was preserved during ancestry integration; the only
subsequent source edit makes one existing report test’s provider
responses call-specific. All production report behavior and unrelated
master changes are preserved. No shared worker, workflow or lockfile
change belongs to reports. All 58 current-head checks are now clean,
including the previously failing approval shard; exact-head Greptile is
5/5 with no new actionable issues. Ponytail’s current turn stopped
without a verdict, an authorized nonblocking state. The prior
conditional documentation requirement was fixed; old CI failures remain
recorded below.

- **Prior-head evidence at `9bf20467df`: 303 distinct targeted cases
passed**, not rerun wholesale for this integration: all 132 voice
integration cases; 170 cases across 11 complete report, retention,
cleanup, recovery, company-removal, shared-worker and startup/hostname
suites; and one complete snapshot/schema drift case. This includes 15
report, 13 retention and 14 cleanup lifecycle cases. Voice integration
and the four other database owners use separate initially empty
databases and migrate themselves. Report cases use their dedicated
database after the setup repair.
- Five real connection saves over 205 sessions with saved future report
deadlines selected 1,025 session rows before the notification repair.
They now select zero and preserve the original deadline. The report
notification helper accepts only exact session scopes. Configuration,
authority and connection hints retain their existing live
recovery/reply/cleanup behavior but do not rebuild report history. Real
session terminal writes, callback hints, report claims and receipts
still reactivate reports.
- Database/server typechecks and builds, migration numbering/safety, and
module-boundary checks pass. Final server types/build also pass after
integrating the retention review repairs. The parent 205-admission,
five-configuration-save test still observes zero retained-history rows
and preserves its deadline.
- The old eager reader selected all 105 saved-report headers before
yielding and failed the 100-row budget. Registered reconstruction now
uses the existing paged contract and yields at 100 rows per scope
refresh. A partial scan can restart on the same owner and reconstruct
every saved deadline. At due time all 105 report IDs are fetched exactly
once. Future deadlines remain quiet between actual retries.
- The company-fairness case places a small company deterministically on
page two and requires it in the next 25-work batch after discovery, with
all 105 reports processed before the failed provider's retry. Guarded
mutations catch a missing cursor reset and bypassed company rotation.
Original source was restored before final acceptance.
- At prior head `9bf20467df`, migration 0396 was generated with `pnpm
db:generate` on the parent 0395 lineage. It creates the partial
`(ended_at, id)` report-window index concurrently and replayably through
the existing migration runner. All 394 historical SQL files and the
journal prefix are unchanged; snapshots 0392 through 0396 remain. Fresh
application migration and two replay invocations succeed with a valid
index. The real plan case retains 20,001 old sessions, 205 recent
sessions, precision-safe keysets, and fewer than 1,000 rows removed by
filtering on each page.
- Existing real hangup/callback/reply-error producers, callback
ownership fencing, monotonic report results, saved retry before provider
contact, guest transcript projection after a document lock, transaction
rollback/nesting, drain and shutdown remain covered. No table, field or
provider protocol is added. Available reports retain the existing finite
24-hour refresh policy.
- [Current-parent acceptance and failure
ledger](https://github.com/paperclipai/paperclip/blob/9bf20467dfd50b81848e1c8dd7ddc905d206418f/doc/plans/2026-10-25-voice-call-report-sleep-audit.md#current-parent-reconstruction-and-migration-acceptance-october-28)
records the failed fresh fixture, eager read, fairness-clock attempts,
guards, commands, counts and limits. Older 174/138-case and
workspace-wide results belong to their stated heads. No new complete
local repository suite, live provider, Cloud wake, host/database
suspension or savings claim is made.
- [Report configuration-scope
repair](https://github.com/paperclipai/paperclip/blob/9bf20467dfd50b81848e1c8dd7ddc905d206418f/doc/plans/2026-10-25-voice-call-report-sleep-audit.md#configuration-scope-review-repair-october-28)
records the current 303 cases and measured rescan repair. The prior
`80207ba6bb` head had Ponytail 5/5; that review is stale after this
change. Fresh exact-head Greptile 5/5 and all CI remain required. Actual
failing Ponytail findings must be fixed; a stopped or paused turn
without a verdict is an authorized nonblocker. Active no-verdict review
waits are capped at 30 minutes from the original request/start
(25-minute monitor cutoff). Older scores and parent checks are not
inferred as current passes.

- **Current-master verification: 185 distinct cases pass**: final
complete voice integration 132, complete report/cleanup/retention
15+24+13, and snapshot/schema drift 1. Each database owner used its own
empty fixture database. The first combined run had 183 passing cases and
one report-test failure; it is preserved in the audit. A deliberately
earlier-ended competing call reproduces the old one-shot mock consuming
the intended response. The corrected test selects responses by provider
session ID, verifies independent costs for both calls, then rejects
stale target data. The isolated repair and full 132-case suite pass;
production behavior and timeouts are unchanged. These 185 cases are not
added to the older 303 count.
- **Current migration lineage:** official `pnpm db:generate` after
actual master creates `0397_known_madrox.sql`; the reviewed
concurrent/idempotent report-index SQL is retained byte-for-byte. All
395 existing SQL files and journal entries are unchanged; snapshots
0393–0397 remain and the new snapshot links parent 0396. The application
migrator boots a fresh database, repairs a deliberately invalid index
during two concurrent replay invocations, records one history row, and
replays again successfully. Database build, server build/typecheck,
migration checks and module boundaries pass. [Full current-master
acceptance and failure
ledger](https://github.com/paperclipai/paperclip/blob/c28de398fef074f650eff532952ab6f5563739a8/doc/plans/2026-10-25-voice-call-report-sleep-audit.md#landed-master-migration-and-acceptance-october-28).

- **Review follow-up and preserved CI timeout:** Ponytail’s prior
`c28de398` review was 4/5 advisory, with no must-fix production defect
and a request to fix the stale design-doc migration reference before
shipping. That document now names migration 0397 and links current
185-case acceptance; older 302/303-case evidence is explicitly
historical. The optional suggestions about one-shot diagnostic inventory
cost and inherited test-clock helpers remain disclosed. CI run
`40703490340` failed the unchanged approval-queue backoff test on its
existing 15-second timeout and then an activity-log FK in teardown
(2,097 pass/one fail/one skip in that shard). The complete unchanged
28-case approval suite passes on a new isolated database; the exact CI
timing cause remains unproven. No timeout, workflow or production logic
was changed, and no old-head rerun or failure waiver is claimed. This
documentation head requires fresh CI and exact-head Greptile. [Review
and timeout
ledger](https://github.com/paperclipai/paperclip/blob/758cfe15c3e6283d38ba512c8416ccce4d200862/doc/plans/2026-10-25-voice-call-report-sleep-audit.md#review-documentation-and-preserved-remote-timeout-october-28).

## Risks

- Process-local commit signals do not observe independent SQL writers or
another server process.
- Available reports still refresh for 24 hours. The provider's complete
flag does not promise immutable final data.
- Transcript projection retries remain within the existing report
window. This change does not add indefinite projection repair.
- One-shot diagnostic `reconcile(limit)` inventories the eligible window
before slicing; it remains a manual diagnostic cost, not recurring idle
work. Some inherited test helpers advance fake time during assertion
retries, an optional reliability follow-up noted by review.
- A local deadline cannot wake a stopped host. Cloud alarms and sleep
eligibility remain unchanged. No deployed sleep or cost saving is
claimed.
- This PR depends on the preceding stack. Final master reconciliation
and remote review gates remain required.

## Model Used

OpenAI GPT-6 through Codex, with repository inspection, code editing,
and local test execution. The exact serving model ID and context window
are not exposed in this session.

## 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>
2026-10-28 09:41:15 -05:00
2026-03-07 02:57:28 +09:00

Paperclip is the app people use to manage AI agents for work.

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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
OpenClaw
Claude Code
Claude Code
Codex
Codex
Cursor and Cursor Cloud
Cursor
+ Cloud
Gemini CLI
Gemini CLI
OpenCode
OpenCode
Pi
Pi
Hermes and Hermes Gateway
Hermes
+ Gateway
Grok Build
Grok Build
Kimi Code
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.

The four pillars of Paperclip
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 Agent

Any agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.

🎯 Goal Alignment

Link tasks and projects to your organization goals. Agents receive the goal context behind their work.

💓 Heartbeats

Agents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart.

💰 Cost Control

Company, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits.

🏢 Multi-Organization

One deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each.

🎫 Task Threads

Keep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people.

🛡️ Governance

Configure review and approval stages, approve hires, and pause, reassign, or stop work when needed.

📊 Org Chart

Hierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.

📱 Mobile Ready

Monitor and manage your autonomous businesses from anywhere.

🔗 Apps & Connections

Connect services such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off.

👥 Shared Agents, Personal Accounts

Choose 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 Studio

Install or write shared skills, test them with saved inputs, inspect results, and restore earlier versions.

📅 Scheduled Routines

Run recurring work on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history.

📎 Artifacts & Feedback

Find the files and documents agents produce. Preview supported formats and leave comments on specific passages in documents.

📦 Ready-Made Teams

Preview 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 .npmrc

If this fails with an E404 for paperclipai (or similar) and you use a private npm registry (for example GitHub Packages) via a global ~/.npmrc, npx may be resolving paperclipai against that private registry instead of the public npm registry.

Diagnostic:

npm config get registry

Workaround (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.

We're hiring


Community


License

MIT © 2026 Paperclip Labs, Inc

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