f0e6c0f549 feat(server): receive and apply the Paperclip Cloud onboarding seed (#11098)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Paperclip Cloud provisions a dedicated tenant stack for each
customer. During signup it asks for a mission, a name and role for the
first agent, and a first task.
> - Cloud pushes those answers into the new stack at activation, as
`POST /api/companies/:companyId/onboarding-seed`.
> - No route served that path. The tenant answered 404, so Cloud
recorded the push as unacknowledged and retried on every portfolio
fetch.
> - The failure was soft. The answers stayed durable in Cloud and the
stack still activated. But the stack opened on the empty first-run
wizard, and it asked the customer again for what they had already given.
> - This pull request adds the receiving endpoint. It validates the
seed, applies it, and acknowledges it.
> - The benefit is that a seeded stack opens with the mission, the agent
and the first task already in place.

## Linked Issues or Issue Description

No public GitHub issue covers this. The problem is described in-PR,
following the feature template.

**Subsystem affected**

server/ — Express REST API and orchestration services. Also
`packages/db` (one new table) and `packages/shared` (one new validator).

**Problem or motivation**

Paperclip Cloud collects onboarding answers at signup and pushes them to
the tenant stack at activation. The tenant had no route for that
request. It answered 404. Cloud treats a non-2xx as "not yet applied",
so it kept the answers and retried, but the stack itself stayed
unseeded. A customer who had already named their mission, their first
agent and their first task arrived at an empty first-run wizard that
asked for all three again.

**Proposed solution**

Serve `POST /api/companies/:companyId/onboarding-seed`. Validate the
body, apply it to the company, then acknowledge it.

The seed is customer free text, so it is bounded and validated in
`packages/shared` and read from the JSON body only. It is never read
from an `x-paperclip-cloud-*` header. That header set is the trusted
identity envelope: every member is derived server-side from the host
plus verified domain records, and that is exactly what makes it
trustworthy. Mixing user content into it would remove the property. A
test plants a mission on a cloud header and asserts that the body value
wins.

Application reuses the shapes the first-run wizard already produces, so
a seeded stack and a manually onboarded one look the same afterwards:

- The mission becomes the company-level goal. A multi-line mission
splits into a title and a description, as the wizard does.
- The agent becomes the company's first hire. Its free-text role ("Chief
of Staff") lands on `title`. The structural `role` stays `ceo`, which is
what the org chart and the default-instructions lookup read.
- The first task becomes an issue in the Onboarding project, assigned to
that agent.

Cloud retries until it gets a 2xx, and it reads any 2xx as "the tenant
holds this content". So the endpoint is idempotent per `revision`. A new
`company_onboarding_seeds` table records the applied revision together
with the goal, the agent and the issue it produced. A replay of a
revision that already matches is a successful no-op. A later revision —
the customer edited their answers — updates those three rows in place
instead of creating a second agent and a second task. The record is
written last, after every other write has landed, so a partial
application cannot present itself as acknowledged.

Everything is applied before the 200 is sent. This is an ordering
guarantee, not eventual consistency. The tests read the database
immediately after the response, with no waiting and no polling, so a
lazy receiver fails them on a fast machine as well as a slow one. That
matters because the redirect into the tenant dashboard is gated on this
acknowledgement.

**Alternatives considered**

Store the seed and let the tenant UI apply it on first load. Rejected:
the dashboard redirect is gated on the acknowledgement, so a background
apply would let the dashboard open before the agent and the task exist.
The whole point is that it must not.

Reuse `POST /companies/:companyId/agents` and `POST
/companies/:companyId/issues` over HTTP from Cloud. Rejected: it needs
three round trips with no shared idempotency key, and it moves the "did
all of it land?" decision to the caller.

**Roadmap alignment**

This completes an existing Cloud-to-tenant contract. It does not add a
new user-facing surface.

## What Changed

- Add `POST /api/companies/:companyId/onboarding-seed` in
`server/src/routes/onboarding-seed.ts`. It authenticates exactly as
`POST /api/companies/:companyId/logo` does, through
`assertCompanyAccess`.
- Add `server/src/services/onboarding-seed.ts`. It applies the mission,
the agent and the first task, and records the applied revision last.
- Add the `company_onboarding_seeds` table: schema, migration `0216`,
and journal entry. It holds the applied revision and the ids of the
goal, agent and issue the seed produced.
- Add `applyOnboardingSeedSchema` in `packages/shared`. It bounds
mission to 2000, agent name to 80, agent role to 120, task title to 200,
and task details to 2000 — the same limits Cloud enforces before it
sends.
- Mount the router in `server/src/app.ts` and register the path in the
OpenAPI document.
- Add `server/src/__tests__/onboarding-seed-route.test.ts` with 13
tests.
- The seeded agent is created on `claude_local`. This mirrors the
teams-catalog default for agents created server-side, where no human
runs an environment test first. `PAPERCLIP_ONBOARDING_SEED_ADAPTER_TYPE`
overrides it.

## Verification

```sh
pnpm typecheck                      # whole workspace, passes
npx vitest run \
  server/src/__tests__/onboarding-seed-route.test.ts \
  server/src/__tests__/openapi-routes.test.ts        # 15 passed
```

The suite runs against embedded Postgres with migrations applied, so
migration `0216` is exercised by every test.

The route tests cover:

- the happy path — mission, agent and task all applied, read immediately
after the 200
- replay of the same revision — no second agent, no second task, no
second goal, no second project
- a later revision — the goal, agent and task are updated in place
- a multi-line mission splitting into a goal title and description
- a revision-only seed
- the activity log entry written once, and not again on a replay
- a caller without access to the company — 403, and nothing written
- a body with no revision — 400
- each field bound past its limit — 400
- a mission planted on an `x-paperclip-cloud-*` header — ignored, body
wins
- an existing Onboarding project — reused, not duplicated

Not verified here: the full Cloud-to-tenant walk against a live stack.
That needs a deployed Cloud and a provisioned tenant together, which is
separate staging work.

## Risks

Migration `0216` creates one new table. It adds no column to an existing
table, rewrites nothing, and backfills nothing, so it is safe to apply
online. The migration safety check passes.

The endpoint writes to a company. Access is enforced by
`assertCompanyAccess`, the same gate the company logo write uses, and a
test covers the denial.

Behavioral note for stacks that already hold data. If a company already
has a non-built-in `ceo` agent, a first seed updates that agent's name
and title rather than creating a second lead. Likewise a seed adopts an
existing company-level goal rather than adding a parallel one. This is
deliberate: the seed is the customer's own stated answer from signup,
and two competing missions or two leads would be worse than one updated
in place. In the intended case — a stack that Cloud has just activated —
none of these exist yet.

The seeded agent is created on `claude_local` with an empty adapter
config. It is idle and needs the usual credential setup before it runs.
Seeding it does not start it.

## Update — rebased onto master + review hardening

Master moved on after this PR was cut, so it was **rebased onto
`master`** and
the seed migration was **renumbered from `0212` to `0216`** (the merged
#11101
took `0212_onboarding_first_task_unique`); the drizzle journal was
re-stitched
and `check:migrations` passes.

Two things landed on top of the original receiver:

- **Mission-only walk contract (PAP-67 r17.4).** The tenant now owns the
first
agent and the first task via #11101's server-owned onboarding path,
which
stamps `ONBOARDING_FIRST_TASK_ORIGIN_KIND` and races safely on the
partial
unique index `issues_onboarding_first_task_uq`. A comment in the apply
path
documents why this receiver leaves the first task to that path on the
cloud
walk, and a paperclip-cloud `node:test`
(`src/onboarding/walk-seed.test.ts`)
asserts the walk's seed carries no `agent`/`firstTask`. The receiver
retains
the agent/first-task code for its documented body contract, kept inert
on the
  cloud path by the mission-only seed.
- **Three Greptile P1 fixes** (`95622fa37`): concurrent application is
now
  serialized under a per-company `pg_advisory_xact_lock` (no duplicate
goal/agent/project/task on overlapping pushes); a revised first task
carries
its resolved `assigneeAgentId`/`goalId`; and the
`company.onboarding_seed_applied`
  audit write is best-effort so a logging failure can't leave the entry
  permanently absent. Two new regression tests cover the first two.

## Model Used

Claude Opus 5 (`claude-opus-5`), 1M context window, extended thinking,
with tool use and code execution. Used for the original codebase
investigation, the implementation, and the tests. The rebase, migration
renumber, mission-only contract, and the three P1 fixes were done with
Claude Opus 4.8 (`claude-opus-4-8`), extended thinking, with tool use
and code execution.

## 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
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-12 22:54:07 -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 companies
  • ✅ 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 company 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-Company

One deployment, many companies. 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-company 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 20 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

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 20+, 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. The @opentelemetry/* 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.

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.


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License

MIT © 2026 Paperclip Labs, Inc

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Open source under MIT. Built for people who want to get work done, not babysit agents.

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