Devin FoleyandPaperclip 4e29f00139 fix(native): keep settled ACPX sessions across Runner upgrades and run scheduled resumes (#18879)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Native Runner keeps one ACPX provider conversation across the
per-turn runs of a task. Each run cold-attaches the session that the
previous run settled.
> - The saved ACPX state binds the digest of the launch profile that
wrote it. Every deploy ships a new provider pack, so that digest
changes.
> - After a deploy, the next run of such a task fails `run.attach` with
`ACPX durable launch profile digest does not match runner startup`.
Every same-run retry fails the same way.
> - On one instance this happened seven times. Six tasks used their
retry budget and ended blocked, or in progress with no runner. In the
seventh, the scheduled same-run resume never ran at all: the task stayed
`in_progress` with nothing running, and its monitor did not fire.
> - This pull request re-binds a settled session to the upgraded launch
profile, types the remaining mismatches so the server stops retrying
them, and makes a scheduled remote resume survive the stale-lock sweep.
> - The benefit is that a task continues its conversation after a
deploy. When it cannot, it stops with a clear next action instead of
stalling.

## Linked Issues or Issue Description

Refs #18846, #18847, #18854 and #18860 (nearby native recovery changes).
Refs #15795, an open change to the same stale-lock sweep function. It
changes run teardown, not lock cleanup, so a second merge needs at most
a small rebase.

**What happened?**

A per-turn native task used provider `acpx` with Claude, driver
`acpx_runtime`, on a remote sandbox.

1. Run A succeeded and settled its provider session. The next run with
the same build cold-attached it.
2. The instance deployed a new build.
3. A board approval woke run B in a fresh sandbox. Run B failed after
about five minutes: `native_session_recovery_failed: Error: PRP command
run.attach failed: {...
"result":{"code":"command_execution_failed","message":"ACPX durable
launch profile digest does not match runner startup"}}`.
4. The coordinator recorded `retryable_failure`, attempt 1,
`native_session_interrupted`, recovery mode `exact_checkpoint_resume`,
recovery state `resuming_session`, and a retry 30 seconds later.
5. Two seconds after the failure, the stale-lock sweep cleared the
task's execution and checkout locks, because run B was `failed`.
6. Forty minutes later the attempt was still 1. The scheduled monitor
had not fired. The task stayed `in_progress` with nothing running.

**Expected behavior**

A session that the previous run settled continues after a deploy. If it
cannot continue, the run stops at once with a clear next action. A
scheduled resume either runs or fails visibly.

**Steps to reproduce**

1. Save a suspended ACPX session under one launch profile.
2. Change the sidecar bytes and the provider-pack authority at the same
paths.
3. Cold-attach the next run in a new runner. Restore fails with the
digest mismatch.
4. For the stall: leave a remote native run `failed` with a due
`retryable_failure` coordinator, run the stale-lock sweep, then run
restart recovery for that run. It returns `blocked:
issue_execution_lock_changed` and writes nothing.

The new Rust and PostgreSQL tests run these steps.

**Paperclip version or commit**

`master` at `b0c4e345267`.

**Deployment mode**

Native Runner, per-turn lifecycle, remote sandbox. The re-bind applies
to every ACPX agent with an ordinary startup.

## What Changed

### Root causes

- **Upgrade failure.** `AcpxLaunchProfile::canonical_digest` hashes the
provider-pack authority, the sidecar command and arguments, each
artifact path and SHA-256, and any candidate admission. For a remote
sandbox the authority is the provider-pack manifest digest, which covers
the Runner source revision and dist digest. So every deploy changes it.
`AcpxDurableState` stores only the digest, and `validate()` rejects any
difference. Only a Kimi candidate run binding had a carve-out.
- **Silent stall.** The failure write keeps the task locks for
`retryable_failure` and clears them only for `terminal_failure`. The
stale-lock sweep treats any `failed` run as cleanable, so it cleared
them. A remote retry goes through `claimNativeRestartRecoveries`. That
claim requires `issues.execution_run_id` to name the run, so it returned
`blocked: issue_execution_lock_changed` with no coordinator write and no
deadline. The live recovery queue then dropped the entry. The local
claim (`claimNativeSessionResumptions`) already reclaims a free lock, so
only remote runs stalled.
- **Monitor.** `noActiveNativeMonitorRun` holds a task's monitor while
any native run for it has a coordinator that is not `committed` or
`terminal_failure`. Run B's `retryable_failure` held it. That is by
design; it ends when the resume runs.

### Runner (Rust)

- `rebinds_settled_session` in `acpx_provider_backend.rs`. Restore
re-binds a saved session to the current launch profile only when all of
these are true:
- The lifecycle is `suspended` and an identity exists. There is no
active turn, pending runtime request, undelivered provider event, or
unconfirmed provider exit.
  - The startup has no candidate admission.
- The saved descriptor's sidecar command and arguments equal this
startup's.
- Any other digest mismatch keeps failing with the same message, plus
`classification: "provider_state_incompatible"` in the durable command
result. `DurableRunnerError` carries an optional closed classification
for this.
- A saved descriptor that names an agent release this build does not
qualify (ACPX version, agent server package or version, or command
digest) also gets the class. `validate_session()` and its message are
unchanged; restore only adds the class.

### Runner (TypeScript)

- `runnerRecoveryFailureClass` reads the classification from the
authenticated `runnerCommandResult`. The Codex app-server driver (which
also drives ACPX through runnerd) and `HarnessDriverBackend` pass it on
as `failureClass`.
- If replacement after a failed resume is not allowed,
`executeNativeSession` throws `NativeProviderStateIncompatibleError`
(message unchanged: `native_session_recovery_failed: ...`). If
replacement is allowed, the existing path opens a fresh session in the
same run, as before.

### Server

- `nativeSessionFailureSourceCode` maps that error class to
`native_provider_state_incompatible` with `instanceof`, not text. The
disposition is permanent: `terminal_failure` at once, the task blocks,
and the board owns the recovery action. Its next action says that a
Retry continues in a fresh provider session with the same workspace.
- `findNativeSessionResumeRun` also returns the barrier's `errorCode`.
`rebindNativeSessionCheckpoint` does not resume a source with
`native_provider_state_incompatible`. The existing fallback in
`buildNativeExecutionWithCheckpoint` then starts a fresh normalized
session with the full task bootstrap.
- `sweepStaleIssueLocks` keeps both locks while a referenced run's
coordinator owns a result-less `retryable_failure`, unless the task is
done or cancelled. Its update also requires that no referenced run has a
live status at the write, because a resume claim can return the run to
running after the status read.
- `claimNativeRestartRecoveries` reclaims a free execution lock for a
`retryable_failure` resume, like the local claim does, when the checkout
lock is free or held by this run and no other run for the task is
queued, running or scheduled. It records
`native.recovery.execution_reclaimed`. A lock held by another run still
blocks.
- Docs: `packages/paperclip-runner/docs/durable-recovery.md` and
`doc/execution-semantics.md`.

### Safety argument for the re-bind

What the binding protects, and what this change keeps:

- **Candidate admission** carries company, model, platform and expiry
authority. A candidate startup never re-binds. The Kimi run-binding
carve-out and all candidate rejections are unchanged.
- **The agent that loads the conversation** stays exact. `validate()`
runs on the saved descriptor before the digest check and requires this
build's qualified agent profile: ACPX version, agent server package and
version, and `commandDigest`. The saved identity must still match that
profile and the provider mode.
- **In-flight provider work** is never re-bound. A turn, runtime
request, undelivered event or unconfirmed exit keeps the strict binding,
so no old provider process or request continues under a new build. The
next launch only loads a settled conversation.
- **Launch shape.** A changed sidecar command path or arguments still
rejects. Only the content at the same paths may change.
- **Artifacts** are not trusted from the saved state. The current
profile comes from the trusted controller at startup, and session start
verifies every artifact's bytes and the restored provider identity, as
before.

What changes: a new provider-pack authority, or new sidecar or Node
bytes, at the same paths no longer invalidates a settled conversation.
The saved digest cannot show which part changed, so the rule does not
depend on it. I did not add state fields to tell authority changes from
artifact changes, because the rule would treat both the same.

One existing assertion changes.
`released_kimi_cold_restore_rejects_candidate_injection_and_changed_full_profile`
expected a settled ordinary Kimi session to reject a changed authority,
artifact digest, or saved digest. Those three cases moved to a new
positive test. Command, arguments, every candidate grant field, a
missing profile and run binding still reject.

### How a task in the reported state recovers after this deploys

The task has old-digest saved state, a `retryable_failure` coordinator
at attempt 1, and cleared locks.

1. Startup recovery, and the live recovery queue, run restart recovery
for the due run. It reclaims the free execution lock and claims the run.
The resume runs now.
2. Run B's failed `run.attach` is a durable outcome of B's exact run
authority. If the resume replays that outcome instead of executing it
again, it fails with the old, untyped text. The remaining attempts then
fail the same way, and the run ends `terminal_failure` with
`native_session_retry_exhausted`. The task blocks with a board recovery
action. This takes about a minute.
3. If the task blocks, press **Retry** once. Retry selects run B as the
source (it has process identity and controller evidence, so the #18860
skip does not apply) and rebinds B's checkpoint, which holds A's
provider session. The new run cold-attaches under the new Runner, and
restore re-binds the old digest because the session is suspended and
quiescent. The conversation continues. Run B's failed attach never wrote
the state file, so the state is still A's settled state.
4. Tasks that already exhausted their retries (blocked, or in progress
after `native_session_retry_exhausted`) need the same single Retry.
Their earlier attempts ran under the old Runner.

Wait for the task to show blocked before pressing Retry. A Retry pressed
while the resume is running joins that run.

## Verification

- Rust, failing first:
`settled_session_rebinds_to_the_upgraded_runner_launch_profile` failed
on `master` with the production message.
`unsettled_or_relocated_session_keeps_the_strict_launch_binding` failed
on the missing classification. Both pass now.
- `cargo test -p paperclip-runner-core --no-fail-fast`: all 41 test
binaries pass. The library has 471 passed and 1 ignored.
- `cargo fmt --check`, and `pnpm --filter @paperclipai/paperclip-runner
typecheck` (TypeScript, generated contracts, `cargo check`): pass.
- Server, failing first: `native-scheduled-resume-lock.test.ts`
(PostgreSQL). On `master` the sweep cleared the locks and restart
recovery returned `issue_execution_lock_changed`. Both negative controls
(another run's lock, a queued run) already passed. All four tests pass
now.
- `pnpm --filter @paperclipai/server typecheck`: pass.
- Runner vitest (`src/native-session-runtime.test.ts`, `src/backends`,
`src/drivers/codex`, `src/drivers/provider-failure.test.ts`,
`src/live/runnerd-codex-transport*.test.ts`,
`src/control-plane/acpx-controller-recovery.test.ts`): 31 files, 1,011
tests pass. New: the typed error when same-session recovery is required,
and the recovery class reader and pass-through.
- Server vitest: the native executor, status corpus and provider-pack
admission suites (1,268 tests) pass. New: the classifier makes the typed
error permanent, and the same text stays retryable. Checkpoint selection
returns `errorCode`, and an incompatible source starts a fresh session
with the same workspace (unit and PostgreSQL).
- Server vitest over the recovery area: stale-lock sweep, native
resumption, process recovery, failed-workspace recovery, restart
recovery (integration, diskless, preparation), controller recovery,
startup retry, startup cleanup, recovered-owner follow-up, session
resume, runtime selection and recovery deadlines. 926 passed. Four
`heartbeat-process-recovery` tests failed in that loaded run. Three pass
when I run them alone. `redacts opaque environment-bound credentials
from Sentry diagnostics: result` fails the same way on unmodified
`master` on this host (a local environment value is redacted).
- Review round 1: a new sweep test returns the run to running before the
clear. It cleared the locks without the write recheck and keeps them
with it. The strict Rust restore test covers an older agent server
release and an older ACPX release. The ACPX backend and durable runner
unit tests, the lock, sweep, resume projection and controller recovery
suites, `cargo fmt --check` and the server typecheck pass. In the second
full cargo run, the two `stdio_mcp` relay tests timed out waiting 5 s
for a child exit on this loaded host. They do not use the changed code
and passed in the first full run.
- After the rebase onto the current `master`: the new lock test,
failed-workspace recovery, stale-lock sweep and session resume suites
pass (189 tests). Server typecheck, `pnpm check:module-boundaries` and
`git diff --check` pass.
- CI on `929ef4508d2`: in the first run, `isolated-repository-rehome`
hit its 15 s test timeout, `idle-completed-history` could not reach its
fixture runtime service, and e2e shard 3 was cancelled by a runner
shutdown. A rerun of the failed jobs passed. All 55 checks pass.
- Not verified: a live remote sandbox deploy, and whether run B's
same-run resume replays its recorded `run.attach` failure or executes it
again. The Retry path is tested at source selection and checkpoint
rebind (server) and at cold attach (Runner). It is not tested end to end
through a sandbox.

## Risks

- A settled session now continues under new sidecar bytes. If a sidecar
change made an old ACPX record unreadable, session start fails as any
failed resume does. It does not corrupt state, and the run follows its
normal recovery policy.
- The sweep now keeps locks for a failed native run with a scheduled
resume. If that resume can never be claimed (for example the agent stays
paused), the task keeps the lock until the coordinator settles or the
task closes. Before, the sweep cleared it, and the resume still never
ran.
- If another run holds the task's lock, a scheduled remote resume still
stays blocked and the coordinator stays `retryable_failure`. This change
does not settle that case. It needs a separate decision about
superseding the resume.
- `native_provider_state_incompatible` is a new failure code. No UI or
migration change is needed. Older servers never see it.
- No schema migration.

## Model Used

- Claude Opus 5.5 (`claude-opus-5-5`) through Claude Code, with tool use
(shell, file edits, test runs). The runtime does not expose the context
window or reasoning configuration.

## 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
- [ ] All Paperclip CI gates are green
- [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [ ] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-11-03 16:30:58 -08:00
…
…

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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