DottaandPaperclip 124b2cd0ad fix(server): certify background deadlines for idle tenants (#19001)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Background services own future checks, retries, and recovery work.
> - An idle tenant can stop only when a durable wake covers its
remaining duties.
> - The current alarm catalog covers several domains but leaves these
owners blocked.
> - A saved future timestamp alone cannot prove that reconstruction or
admitted work has settled.
> - This pull request binds durable domain snapshots to the actual
registered worker revisions.
> - The tenant can hand off supported future duties and retain all
checks for uncertain or active work.

## Linked Issues or Issue Description

No matching public issue was found. Related work: [domain deadline
handoff #18656](https://github.com/paperclipai/paperclip/pull/18656),
[owned blocker diagnostics
#18632](https://github.com/paperclipai/paperclip/pull/18632), and
[completed history proof
#18646](https://github.com/paperclipai/paperclip/pull/18646). The
separate [native idle-session change
#18988](https://github.com/paperclipai/paperclip/pull/18988) covers
runtime retirement. [Far-future retry re-probes
#13534](https://github.com/paperclipai/paperclip/pull/13534) changes
recovery responsiveness after an upstream success; this change preserves
existing retry decisions.

**What happened?**

Future status-card, external-object, skill-sync, watchdog, retry, and
quota duties lacked complete owner-bound coverage in the idle deadline
proof. A completed quota task could also retain its monitor policy and
timestamp and remain blocked after the scheduler had disarmed it.

**Expected behavior**

A settled registered owner can hand off its exact supported future
deadline. Active work, dirty reconstruction, transaction uncertainty,
changed revisions, claims, unknown state, and unsupported duties keep
the tenant awake. Completed history retains its data and stops recurring
work when the owner has no remaining duty.

**Steps to reproduce**

1. Produce a supported future duty through its normal service.
2. Let the registered worker finish reconstruction and admitted work.
3. Request an owned idle report with the negotiated domain deadline
catalog.
4. Check the saved earliest deadline and generation before durable alarm
registration.
5. Stop and reconstruct the worker. Check that ordinary admission and
claims resume useful work once due.
6. Complete a quota task. Keep its saved policy and timestamp. Check
that linked unfinished work still blocks sleep and that settled history
does not.

**Paperclip version or commit**

The owned patch was qualified at
`699c8569fa34338dd75cdc5731381ec1e2efdb45`. Publication head
`491fac368ee72eaac8ae105d53e6bf6b305d8a6a` normally merges actual master
`039e0dad2c51c80251e1302a19c5566e039c357a`. All 43 owned files are
byte-identical. All 29 new upstream paths are preserved. The later
normal current-master integration is
`8c912e1ba4fc66397a7341ade59373af8075068f`, described separately below.

**Deployment mode**

Source checkout with real PostgreSQL 17 and a controlled local Node
process. No deployed alarm, tenant suspension, database suspension, or
fleet result is claimed.

## What Changed

- Add registered-worker reconciliation revisions and invalidate them on
stop.
- Keep status-card, external-object, and skill deadline interpretation
with their owners.
- Reuse the watchdog classifier against the supplied database snapshot.
- Validate the exact saved retry run and paired queued wake.
- Validate legacy quota source bindings and the current assignee or
reviewer policy.
- Preserve common issue scope, dependency, sibling, and state checks for
covered waits.
- Compose normalized owner snapshots within the existing bounded
deadline proof and recheck revisions after inspection.
- Bind actual service and worker instances from server startup. Missing
bindings preserve existing blockers.
- Retain completed quota policy and timestamps while independently
rejecting linked unfinished runs or wakes.
- Block unconsumed budget evaluation inputs through the owning queue
predicate. Accounting policy and settlement stay unchanged.
- Bind completed quota history through fixed-size UUID-array parameters,
preserve exact company/task/source associations, and guard external
references before the run-ID join.
- Batch watchdog subtrees and shared classifier facts without changing
the 64-query or two-second proof budget; preserve exact company pairing
for first-run evidence.
- Extend production-path regression controls and document supported
coverage and limits.

## Verification

Current integration head: `688abc6cac6016b9fb50e5832f81e2975ed5d49f`.
Fresh exact-head checks completed with **58 successes, three intentional
skips and one neutral review**, including aggregate `ci / verify`. The
complete current Greptile review is **5/5**. The complete current
Ponytail verdict is **Ship (4/5)**, with only optional cleanup of an
unused MCP proof input; both prior correctness findings are resolved.
All review threads and nested pages were inspected. The normal master
merges preserve the registered retry deadline owner and current startup
completion log after the same readiness await. The earlier focused
evidence below remains tied to its tested source revisions.


Current-master integration `8c912e1ba4fc66397a7341ade59373af8075068f`:

- Normally merge actual master
`46fb933b0155d183ce64a8bdc4950d1b58c926f6`. Every nonoverlapping tree
blob retains its owning parent across 14,044 paths. All 42 owner-only
files and 15 critical binding/proof/readiness files remain
byte-identical. Three automatic overlaps preserve the existing watchdog
binding, conservative unavailable-reader fallback and optional actual
owner arguments. The two scoped-deadline conflicts retain the entire
upstream resource-reservation/mid-pass admission/abort algorithm inside
the existing reconciliation revision/running/failure fence, with both
parent test sets.
- Actual TypeScript 7.0.2 server noEmit passed in 9.434 seconds, normal
source declaration layers in 12.102 seconds, and four selected
test/helper/config layers extending the actual CI configuration in 3.167
seconds. No compiler option weakening, heap override, donor declarations
or SDK replacement stub.
- Focused PG0 controls passed: 102 scheduler/proof/owner controls in
16.451 seconds, including all 21 scoped-deadline cases; 121 startup
controls; and all 107 unchanged instance-settings route cases in 6.456
seconds. The latter first hit a local prewire-guard
listener-registration race. Only the ignored guard was corrected to
register the same actual OS-bound server port immediately after native
listen returns. Closed, unknown, foreign, offhost and PG destinations
remain blocked. Original failure evidence is retained; product code and
assertions were unchanged.
- The exact current UI policy command now reports zero findings (0.362
seconds); its seven scanner controls pass. The earlier dependent PR used
an old scanner/source baseline under a newly enforcing trusted workflow
and reported 397 findings. Carrying the genuine current master resolves
that mismatch without editing unrelated UI sites or relaxing the gate.
- Every meaningful worker checked its executing PID/thread/preload hash
and matching receipt. PG0 controls opened no PostgreSQL sockets; all
owned processes exited. Original dependency-cache/DNS, ignored-harness
syntax/type and guard failures remain separate from product results.
- This is fresh semantic and focused runtime qualification, not a local
whole-repository or current-head PostgreSQL acceptance rerun. The
upstream workspace-busy parked-retry/terminal-holder notification path
remains unchanged by this merge and needs its separate current-graph
producer check. Historical six-case/scale results below stay tied to
their measured sources. A matching controlled default-cadence follow-up
is in #19191; no fresh current-head two-cycle or deployed suspension
claim follows from this merge.
- All 59 exact-head check contexts now pass (55 success, one neutral,
three intentional skips), plus the legacy security status. The complete
edited Greptile review is 5/5 for this exact commit, with all
root/nested pages inspected and no unresolved threads. Ponytail stopped
without completing its new turn; it supplied no new verdict or finding.
Prior actual findings remain addressed. Earlier scores/checks below
belong to their explicit earlier commits.


On frozen clean merged source `699c8569fa`:

- Real PostgreSQL acceptance: **6/6 passed**,83.483 seconds wall. Actual
retry producer creates the exact saved run/wake; stopped and
reconstructed owner resumes through current admission, one durable
start, real local process output and normal task completion. Includes
cancellation, drain arrival, retained quota history with queued-run/wake
negatives, watchdog review settlement and budget-input
empty/pending/consumed control using the actual owner.
- Affected coordinator, deadline, scoped-deadline, recovery and
composed-proof controls: **78/78 in five files passed**,32.114 seconds
wall, worker 1/no file parallelism.
- `pnpm exec tsc --noEmit -p server/tsconfig.json`: **passed**,17.467
seconds. Native TypeScript 7.0.2 and Node 24.22.2.
- PostgreSQL tests use one dedicated test database, matching
fixture/admin URLs, pool limit four, one worker, and no embedded
fallback. Every run recorded unchanged source hashes and a clean
checkout.
- The eight-second real-clock retry is a domain execution check. It is
below the Cloud minimum wake lead and is not a positive accepted hosted
sleep cycle.
- The completed quota-history product failure and original
fixture/protocol failures were preserved; the owning-reader fix passed a
real PostgreSQL red/green regression before the fresh merged six-case
pass.
- After runtime completion, the dedicated database had zero other
clients and no owned runtime processes. All three qualification process
PIDs exited. The coordinator independently audits and drops the
database.
- Comment-only cleanup has equal strict TypeScript parser ASTs across 15
files. The final lexical audit finds no added comments relative to
actual master. `git diff --check` passed.
- Earlier retry fixtures omitted responsible-user membership, advanced
JavaScript time past the real PostgreSQL lease clock, or produced stdout
without normal task completion. Corrected fixtures use real membership,
an eight-second real deadline, and ordinary task comment/completion. The
last case exposed legitimate disposition repair rather than duplicate
retry promotion.
- The quota and watchdog controls first ran before admitted work or the
existing 30-second reconstruction duty settled. The stronger tests
require an interim blocked report and then exact settled-owner proof.
Production deadlines were not changed. The separate
completed-quota-history defect was fixed in its reader and verified with
linked unfinished-run and wake controls.
- The status/object and skill owners reviewed the actual final startup,
route and post-backup bindings. Their domain source evidence carries
where token-equivalent. The master coordinator coalescing change was
reviewed separately. Historical domain PostgreSQL results are not
presented as fresh full-suite results on this head.

The later master merge adds retry predecessor cleanup checks under the
existing issue claim lock. The source audit confirms unchanged saved
deadlines and run/wake identities. The three actual retry
lifecycle/cancellation/drain cases passed on the batched candidate with
this parent (31.817 seconds). Those local dependency controls preceded
the current exact-head remote run. Native backup preservation and
TestOps changes from master are retained. No pass is inferred for
changed dependency behavior solely from unchanged owned files.

Review repair published as `643f1e7400`:

- The original reader returned `unknown` after seven actual watchdog
reviews settled across seven companies. The unchanged composed-report
regression passed after batching; the final reader passed in 61.841
seconds, including active queued-work and stopped-owner rejection.
- A separate two-company red/green control rejects terminal-run context
from another company as first-run grace evidence. Shared facts are
serialized once, with per-root IDs and review summaries.
- The affected recovery, proof and diagnostic unit controls passed 47/47
(14.575 seconds). Startup owner-contract fixtures passed 121/121 (10.589
seconds).
- Diagnostic PostgreSQL controls passed7/7 (12.406 seconds), including
the normal budget-input producer and its exact blocker reason. Initial
empty-state setup uses the same cleanup as per-case teardown when a
dedicated test database is reused.
- Actual repository `pnpm exec tsc --noEmit -p server/tsconfig.json`
passed 12.710 seconds with no heap override. Final source has no added
code comments; whitespace checks pass.
- The original query-budget failure, two-company discriminator, initial
cross-suite fixture failure and an interrupted incorrect local-driver
selector are retained separately. The interrupted run is not a pass.
Independent cleanup found zero owned clients or runtime processes.

Quota-scale repair published as `6696a37f8a`:

- The exact 10,000-row completed-history case reproduced
`MAX_PARAMETERS_EXCEEDED`:90,002 bound parameters exceeded the driver's
65,534 limit, and the composed report returned `unknown` despite settled
owners. Original failure and actual driver diagnostics are retained.
- Fixed pending-work queries use three typed UUID-array parameters plus
the result limit, keeping exact company/issue/source tuple bindings. The
primary run-ID column stays uncast; a guarded CASE validates the raw
external reference before conversion. The 10,000-row cap and
64-query/two-second proof budget are unchanged.
- The same 10,000-row composed-report case passed 18.860 seconds, with
unfinished run/wake rejection, malformed-reference safety and
conservative 10,001-row overflow. Its fixture derives retained history
from the actual quota producer and normal task completion, expands valid
persisted issue/source pairs, then starts the actual registered owners.
- The existing actual quota producer case passed 14.187 seconds,
including exact future deadline, retained completion history, unfinished
work, real foreign-company source references and noncanonical/malformed
references.
- Affected owner/proof controls passed 22/22 (26.444 seconds).
Production server noEmit passed 16.039 seconds.
- CI on 643 identified TS7034/TS7005 in the settled-watchdog fixture's
initially untyped collection. It is now explicitly typed. A separate
affected-entry semantic check extending the repository's actual
`server/src/__tests__/tsconfig.json` passed 15.093 seconds: six affected
tests, two owner files, ambient declarations and current imported
source, with unchanged strict/module/lib/path settings. The production
server config excludes that test directory and is not presented as
test-layer proof. No custom suppression or replacement SDK stub was
added.
- All runs were sequential with pool max 4, worker 1,
source/config/command hashes and cleared inherited
provider/LIVE/other-database variables. Cleanup found zero owned
database clients or local runtime processes. At prior head
`6696a37f8a5718cd0f79054969a0084462d41d47`, all required CI gates pass.
The exact-head inventory has 55 successes, one neutral review and three
intentional skips. Greptile is 5/5. The complete latest Ponytail verdict
confirms the quota finding is fixed; its only remaining note is optional
unused MCP proof state, not a behavior defect. All three review threads
are resolved. The earlier 643 result remains historical.

The repository-wide typecheck, tests, build and browser gates passed in
the prior `6696a37f8a5718cd0f79054969a0084462d41d47` CI run. The new
`8c912e1ba4fc66397a7341ade59373af8075068f` full CI also passes. They
were not run as a full local workspace command in the focused PostgreSQL
lease. Local evidence above uses bounded external databases and does not
claim embedded-cluster, live-provider or deployed-alarm qualification.

## Risks

- An unsupported or uncertain owner state must remain blocked. An
optimistic exemption could lose work while compute is stopped.
- Changes during reconstruction or inspection must invalidate the proof.
A memory-only timer is not durable alarm coverage.
- Current authorization, budgets, cancellation, accounting, and resource
ownership still apply on dispatch. The proof does not grant execution
authority.
- The supported writer model uses in-process transaction signals and
startup/resume reconstruction. Independent SQL writers and other
replicas need an explicit wake contract.
- Native, review, coalesced, and taskless retry variants remain
conservative until their owner cases qualify. Reviewer quota and hosted
alarm qualification remain open.
- The shared catalog remains opt-in. Legacy callers and missing owner
bindings retain their old blockers.

## Model Used

OpenAI `gpt-6.1-sol` was the configured model for the delegated service
implementations and reviews. OpenAI Codex, based on GPT-6, performed
managing review and integration. Both used repository tools and code
execution. The exact served backend snapshots and context-window limits
were not exposed.

## 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 and contains no internal
Paperclip ticket id
- [x] I have run tests locally and they pass on the final merged head
- [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 — exact current-head run passes
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups —
complete current-head review and all paginated threads inspected
- [ ] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-11-06 13:48:55 -06:00
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, 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.

We're hiring


Community


License

MIT © 2026 Paperclip Labs, Inc

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