DottaandPaperclip 96bf004a79 fix: use persisted state for lifecycle continuation and retry budgets (#13888)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Its control plane decides when a task can continue, wait, stop, or
complete.
> - Legacy continuation could change when an agent changed its wording
without changing task state.
> - Shared attempt counts also let repair and infrastructure retries
affect each other's limits.
> - This pull request uses persisted state and separate, bounded
allowances for these decisions.
> - If automatic repair stops, the task explains what happened and
offers a guarded retry.
> - Paired tests and real-provider evaluations verify that Stop,
approvals, ownership, and spending limits remain authoritative.

## Linked Issues or Issue Description

Related work: Refs #13761, Refs #11126, Refs #13610. These cover
obsolete continuation dispatch and retry storms. Open and closed issues
and PRs were searched for related lifecycle, continuation, and retry
work.

**What happened?**
Legacy continuation depended on English wording and progress heuristics.
Repair, failure retry, and productive continuation could consume shared
counts. When bounded repair stopped, the task showed a technical
recovery message without a clear next action.

**Expected behavior**
Persisted disposition and owned execution paths determine the next
action. Missing disposition prompts bounded agent repair. Explicit work
mode determines planning mode. Narrative changes and raw activity counts
cannot replenish allowances. An exhausted repair shows a readable
notice. An explicit retry checks current controls and preserves the
assigned agent.

**Steps to reproduce**
Run `pnpm test:lifecycle-baseline`. The paired probes keep structured
state constant while varying completion, planning, blocker, and progress
prose. Run the explicit `lifecycle-baseline` and
`continuation-accounting` Product E2E suites for real-provider coverage.
In Storybook, open **Design previews / Recovery notice** to inspect the
production component's normal, pending, acknowledged, unavailable,
failure, and mobile states.

## What Changed

- Hide the image attachment button, icon, and drop/paste hint in answer
composers. Image paste and drop support remains available.
- Merge current master and retain both browser regression sets. Use a
production-stamped service worker in the offline recovery browser
fixture.
- Share one state-based legacy continuation decision across immediate,
delayed, and recovered dispatch. Bind bounded repairs to their source
run and episode.
- Remove title and description wording from work-mode authority. Agents
can still write requested plans in execution mode.
- Persist separate failure-retry and productive-continuation counters.
Disposition repair and resource waits cannot consume or reset those
allowances.
- Validate delayed repair identity, then recheck current gates before
provider dispatch. Fence native startup cancellation.
- Show **Agent needs attention**, a plain-language explanation, **Retry
agent**, and expandable details in both task interfaces. Report request
progress, acknowledgement, and errors inline.
- Store typed recovery notice metadata. Recognize older active notices
only through exact stored action and run IDs. Notice text never grants
retry authority.
- Use the existing recovery-action endpoint for retry. Recheck current
action, status, owner, agent availability, dependencies, active runs,
pending questions and confirmations, approvals, pause controls, and
budget. Duplicate requests do not wake twice.
- Add component, page, route, database, contract, and Storybook
coverage. Keep the scenario inventory and executable evals here.
Historical reports and snapshots live in the [commit-pinned
paperclip-evals
archive](https://github.com/paperclipai/paperclip-evals/blob/ce3e5afcd4a1184650f586a2b5b8be5874c66c8b/experiments/2026-09-lifecycle-authority/README.md).
- Preserve unsaved project fields while the same project URL changes to
its canonical alias. Do not reuse data across projects or companies.
This separate fix addresses the repeated repository-editor browser
failure without changing the browser test.
- Keep the development service worker from intercepting Vite module
reloads. Update the connection-intent browser fixture to record progress
and completion through the agent API.

## Verification

Merge preparation on September 25, commit
`c1e8e4b7ddd9fbc4913ed55ce21b8e12906c2f97`:

- Merged master `bd2030932` and resolved the browser test-list conflict
by keeping both sets of regressions.
- Deterministic lifecycle baseline: 1,090/1,090 assertions passed; no
failures, skips, or missing selected evidence. Unit 423, runner 184,
database integration 397, grading 86.
- Browser support: 17/17 passed. The offline recovery test first failed
with an unstamped development worker, then passed with the production
stamp. Its assertions are unchanged.
- Focused interaction UI and offline fallback tests: 19/19 passed.
Verified the custom-answer composer in Storybook: no attachment controls
or hint; entering an answer enables Next.
- Recursive typecheck, production build, token gates, and diff checks
passed. The worktree is clean. No new real-provider campaign was run.
- Current CI and review: [Current PR CI
passed](https://github.com/paperclipai/paperclip/actions/runs/36166011243):
55 successful checks and two optional Storybook skips. Greptile scored
this exact commit 5/5. Hiding the question attachment controls is an
intentional UI change; paste/drop remains available.

Earlier recovery UI verification, commit
`21be0fec0e90e86b6d662b8ee4831847cd041cdb`:

- Recursive typecheck, production build, token gates, and diff checks
passed.
- Focused UI coverage: 338 tests passed across six suites (336 before
the interaction guard, with the two affected suites rerun at 149 passed
after it). Covers both task interfaces, the real page mutation,
pending/error acknowledgement, stale state, and unavailable controls.
- Recovery database integration: 352 tests passed before the interaction
guard. The complete recovery-action and mutation-route suites passed 181
tests after it. The two new pending question/confirmation regressions
failed before the fix and passed afterward, including
resolved-interaction controls. Shared validator suite: 31 passed. E2E
catalog suites: 34 passed.
- Browser inspection passed for light/dark themes, mobile layout,
expandable details, pending retry, acknowledgement, failure, and
disabled retry. Storybook renders the production component; its request
is simulated.
- The broad local run hit two chat callback-order wait failures and was
stopped after all CI unit/database/runner shards passed. Both local
failures passed when rerun without the competing full-suite process.
- CI exposed a repeated project-repository draft-loss race during
canonical redirects. A new unit regression failed before the fix; all
nine project-page tests now pass, including controls for other projects
and companies. Both unchanged repository browser tests passed against a
fresh local server. UI typecheck, production UI build, and token gates
passed after this fix.
- [Earlier PR CI
passed](https://github.com/paperclipai/paperclip/actions/runs/36072486798)
on `21be0fec0e90e86b6d662b8ee4831847cd041cdb`: 55 successful checks, two
optional Storybook skips, and no failed or pending checks. The
repository browser shard passed with the production fix. Greptile is 5/5
on this exact commit with no unresolved review threads. The PR is
mergeable.

Historical, source-qualified lifecycle evidence:

- Lifecycle baseline: 1,074 assertions. Native session coverage: 447
tests. Product E2E support: 515 tests. Browser support: 11 tests. Full
earlier verification is retained in the archive.
- [Real-provider campaign: 8/8 passed, zero
retries](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-35881382080-1/index.html),
source `e88d210417280140b44a36449027290adcb1aeaa`. Evidence and cleanup
checks passed. This includes deliberately exhausted repair cases that
correctly remain blocked; it does not mean every task finished Done.
This campaign predates the recovery UI change.
- Archive migration verified all 16 original JSON files byte-for-byte
and all 24 checksum entries. App tests do not need private archive
access. [Archive PR
#27](https://github.com/paperclipai/paperclip-evals/pull/27) is merged.

## Risks

- Agents that omit durable disposition receive at most two repair
attempts by default. Prose-only completion exposes missing state rather
than silently changing scheduling.
- A retry is an explicit board action. The server rechecks current
controls. A successful response confirms the task returned to To do; it
does not claim that the provider has already started.
- Existing notice metadata remains valid. Only older active notices with
matching structured evidence receive the new UI. Historical notices
without that evidence keep their existing rendering. No schema migration
is required.
- Old run records require conservative retry accounting. Tests cover old
counters, alternating retry lanes, restarts, and exhausted repairs.
- Historical snapshots require private `paperclip-evals` access. The app
index retains public campaign links. Live campaigns qualify specific
sources and scenarios; no new real-provider campaign has run for the
recovery UI commit.

> This fixes existing lifecycle and recovery behavior and does not
duplicate planned core work.

## Model Used

OpenAI GPT-6 through Codex assisted implementation, reasoning, code
execution, and review. The exact serving model ID and context window are
not exposed in this task. Historical real-provider evaluations used
Codex model `gpt-5.6-sol`, separately from the implementation assistant.

## 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 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>
2026-09-25 15:28:11 -07:00
…
…

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

MIT License Stars Star History Rank Discord



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.

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
Claude Code
Codex
Codex
Cursor
Cursor
Bash
Bash
HTTP
HTTP

If it can receive a heartbeat, it's hired.


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
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
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

Features

🔌 Bring Your Own Agent

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

🎯 Goal Alignment

Every task traces back to the organization mission. Agents know what to do and why.

💓 Heartbeats

Agents wake on a schedule, check work, and act. Delegation flows up and down the org chart.

💰 Cost Control

Monthly budgets per agent. When they hit the limit, they stop. No runaway costs.

🏢 Multi-Organization

One deployment, many organizations. Complete data isolation. One control plane for your portfolio.

🎫 Ticket System

Every conversation traced. Every decision explained. Full tool-call tracing and immutable audit log.

🛡️ Governance

Approve hires, override strategy, pause or terminate any agent — at any time.

📊 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.

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. ✅ Cost tracking surfaces token budgets and throttles agents when they're out. Management prioritizes with budgets.
❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. ✅ Heartbeats handle regular work on a schedule. Management supervises.
❌ 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 execution. Task checkout and budget enforcement are atomic, so no double-work and no runaway spend.
Persistent agent state. Agents resume the same task context across heartbeats instead of restarting from scratch.
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.
Goal-aware execution. Tasks carry full goal ancestry so agents consistently see the "why," not just a title.
Portable company templates. Export/import orgs, agents, and skills with secret scrubbing and collision handling.
True multi-organization isolation. Every entity is company-scoped, so one deployment can run many companies with separate data and audit trails.

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), board users, agent API keys, short-lived run JWTs, company memberships, invite flows, and OpenClaw onboarding. Every mutating request is traced to an actor.

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. No double-work, no lost context.

Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce structured logs, cost events, session state, and audit trails. Recovery handles orphaned runs automatically.

Workspaces & Runtime — Project workspaces, isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Agents work in the right directory with the right context every time.

Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, agent pause/resume/terminate, and full audit logging. Nothing ships without your sign-off.

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. Overspend pauses agents and cancels queued work automatically.

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 — Instance and company secrets, encrypted local storage, provider-backed object storage, attachments, and work products. Sensitive values stay out of prompts unless a scoped run explicitly needs them.

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 — Export and import entire organizations — agents, skills, projects, routines, and issues — with secret scrubbing and collision handling. One deployment, many companies, complete data isolation.


What Paperclip is not

Not a chatbot. Agents have jobs, not chat windows.
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 a workflow builder. No drag-and-drop pipelines. Paperclip models companies — with org charts, goals, budgets, and governance.
Not a prompt manager. Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in.
Not a single-agent tool. This is for teams. If you have one agent, you probably don't need Paperclip. If you have twenty — you definitely do.
Not a code review tool. Paperclip orchestrates work, not pull requests. Bring your own review process.

Quickstart

Open source. Self-hosted. No Paperclip account required.

curl -fsSLO https://paperclip.ing/install.sh
curl -fsSLO https://paperclip.ing/install.sh.sha256
if command -v sha256sum >/dev/null 2>&1; then
  sha256sum -c install.sh.sha256
else
  shasum -a 256 -c install.sh.sha256
fi
bash install.sh

The installer ensures Node.js 24.11 or newer is available, installs a managed Paperclip CLI under ~/.paperclip/cli, and starts interactive onboarding. It can also install Paperclip as a background service on supported Linux and macOS systems. The checksum detects transfer or publishing mistakes, but it is served from the same origin as the script; use a release-tag or commit-pinned GitHub copy when you need an independently hosted source.

For a non-interactive managed install:

curl -fsSL https://paperclip.ing/install.sh | bash -s -- --no-prompt --no-onboard
paperclipai onboard --yes

The piped form requires supported Node.js, npm, and npx to already be present. If Node.js bootstrap is required, download and review install.sh before running it so no privileged dependency-install command is accepted through a pipe.

To try Paperclip without installing anything permanently:

npx --registry https://registry.npmjs.org paperclipai onboard --yes

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 doc/CLI.md 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 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:

paperclipai onboard --yes --bind lan
# or:
paperclipai onboard --yes --bind tailnet

If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use paperclipai configure to edit settings.

See doc/INSTALLING.md for pinned versions, canary and git-ref installs, updates, rollback, service management, and uninstalling.

Or manually:

git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev

This starts the API server at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.

Requirements: Node.js 24.11+, pnpm 9.15+


FAQ

What does a typical setup look like? 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.

If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.

Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.

How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.

Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? 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)

Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.


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
  • ⚪ Memory / Knowledge
  • ⚪ MAXIMIZER MODE
  • ⚪ Work Queues
  • ⚪ Self-Organization
  • ⚪ Automatic Organizational Learning
  • ⚪ CEO Chat
  • 🟡 Cloud deployments (multi-tenant isolation & company Import/Export shipped)
  • ⚪ Desktop App
  • ⚪ Bring-your-own-ticket-system (Asana / Linear / Jira as on-ramps)
  • ⚪ Connected Apps (one-click integrations, e.g. Vercel)

This is the short roadmap preview. See the full roadmap in ROADMAP.md.


Community & Plugins

Find Plugins and more at awesome-paperclip

Observability

Paperclip ships with opt-in OpenTelemetry auto-instrumentation for the server (traces only). It activates when OTEL_EXPORTER_OTLP_ENDPOINT is set and supports grpc, http/protobuf, and http/json via the standard OTEL_EXPORTER_OTLP_PROTOCOL env var. @opentelemetry/api is a normal server dependency; the SDK, auto-instrumentation, and exporter packages are optional peer dependencies — install them only if you want tracing. See doc/observability.md for install commands and the full env-var reference.

Paperclip also ships with opt-in Sentry error monitoring for the server and the browser. Set SENTRY_DSN_FRONTEND to activate it for the browser and SENTRY_DSN_BACKEND to activate it for the server — each variable is optional, and the legacy SENTRY_DSN variable still works as a fallback for either component. The supported server SDK version is @sentry/node@10.71.0; it is an optional peer dependency for the server, so install it only if you want error monitoring. The browser SDK, @sentry/browser, is pinned to the same exact version. See doc/observability.md for the install command, the privacy settings, and the full default capture set.

Telemetry

Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.

Contributors changing emitted telemetry events should follow the Telemetry Data Contract. For proposed first-party events that are not in the generated contract yet, follow Telemetry Workflow.

Telemetry is enabled by default and can be disabled with any of the following:

Method How
Environment variable PAPERCLIP_TELEMETRY_DISABLED=1
Standard convention DO_NOT_TRACK=1
CI environments Automatically disabled when CI=true
Config file Set telemetry.enabled: false in your Paperclip config

Contributing

We welcome contributions. See the contributing guide for details.


Community


License

MIT © 2026 Paperclip Labs, Inc

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