DottaandClaude Opus 5.5 02a2299173 feat(codex): default Codex to gpt-6.1-sol, half the gpt-5.6-sol price (#19623)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Codex agents run through Paperclip Runner or the legacy
`codex_local` harness, and the runner E2E suites run paid Codex cells
> - The shared Codex default and many selections preferred `gpt-5.6-sol`
> - The reviewed OpenAI rate card in
`server/src/services/codex-pricing.ts` (`openai-standard-2026-09-30`)
prices `gpt-6.1-sol` at $2 input / $0.10 cached / $10 output per 1M
tokens, and `gpt-5.6-sol` at $4 / $0.40 / $20
> - So every default run and every paid Codex eval cell cost twice as
much as necessary
> - This pull request moves every place that prefers or selects
`gpt-5.6-sol` to `gpt-6.1-sol`, and keeps historical facts, rate cards
and compatibility fallbacks on `gpt-5.6-sol`
> - The benefit is half the token price for new default Codex agents and
for the Codex E2E and TestOps cells

## Linked Issues or Issue Description

**What existing behavior does this improve?**
The default Codex model for new agents and the Codex model that the
runner E2E suites and TestOps plans select.

**Subsystem affected**
Adapters (`adapter-utils`, `codex-local`), server native runtime
fallback, UI AI connection pools, Paperclip Runner devtools and live
evals, runner E2E catalog and TestOps mappings.

**Current behavior**
New Codex agents without an explicit model store `gpt-5.6-sol`. The
runner E2E `runner-codex` profile, the Reliability `queue-steer` plan
cell, the Product regression TestOps mapping and the ACPX Codex
qualification selection all use `gpt-5.6-sol`.

**Proposed behavior**
They use `gpt-6.1-sol`. Existing agents that store a model keep it.
`gpt-5.6-sol` stays selectable.

**Reason and benefit**
`gpt-6.1-sol` costs half as much per token on the in-repo reviewed rate
card. The current OpenAI pricing page (retrieved 2026-11-06) shows the
same short-context rates and also lists long-context rates of $4 / $0.20
/ $15 for `gpt-6.1-sol` against $8 / $0.80 / $30 for `gpt-5.6-sol`.

**Breaking changes**
None for stored configurations. See Risks.

## What Changed

Changed defaults and selections (all now `gpt-6.1-sol`):

- `PAPERCLIP_RUNNER_DEFAULT_MODELS.codex` in
`packages/adapter-utils/src/paperclip-runner-permissions.ts`. This also
changes `DEFAULT_CODEX_LOCAL_MODEL`,
`resolvePaperclipRunnerModel("codex", …)`, runner config normalization,
`codex_local` → Paperclip Runner conversion, the UI new-agent and
agent-config defaults, the composer default model and the public MCP
effort lookup.
- `codex-local` `models`: the 5.6 entry is now the literal
`gpt-5.6-sol`, because it used to be `DEFAULT_CODEX_LOCAL_MODEL`. The
list order and contents do not change.
- AI connection pool: a new OpenAI member profile uses
`PAPERCLIP_RUNNER_DEFAULT_MODELS.codex` instead of a hard-coded
`gpt-5.6-sol`.
- Paperclip Runner devtools ACPX Codex default and preset, the
`runner-codex-sol` local provider smoke, and the `acpx-codex-sol` live
workflow candidate.
- `tests/acpx-qualification-models.ts` Codex selection (runner E2E and
runner acceptance ACPX Codex profiles).
- Runner E2E: the `runner-codex` profile follows the default, so all
native Codex cells move. This includes the `runner-codex` cells among
the 52 standard `everyday-workflows` cells and the seven Codex
reliability cells. `runner-codex-mini` stays on `gpt-5.4-mini`. The
Reliability plan `queue-steer` `steeringProfile` is now
`['runner-codex', 'gpt-6.1-sol']`. Its executionId
(`everyday-workflows.runner-codex.daytona.queue-steer`), its fullName
and its TestOps case identity do not change. No separate profile is
necessary.
- `product-regression-testops.mjs`: the declared model for every
`runner-codex` case is now `gpt-6.1-sol` (it was already that for
`configured-repository`).
- `tests/runner-e2e/installed-cli.ts`: the credential-free installed
startup proof opens a session on the default model.
- `tests/runner-e2e/scheduled-prices.json`: add a `gpt-6.1-sol` price
(`openai-standard-2026-11-06`, including 30m/12h cache writes and
long-context rates from the OpenAI pricing page). The weekly scheduled
Codex cells need an exact price for their model, or admission fails
closed.
- Storybook: the composer model picker fixtures, the connection pool
stories and host, and the agent settings preview show `gpt-6.1-sol` as
the default.
- Docs: `doc/DEVELOPING.md` (the Codex conversion default) and
`tests/runner-e2e/EVERYDAY-WORKFLOWS.md` (local matrix, reliability
extras, `queue-steer` row).
- Tests that assert the default now expect `gpt-6.1-sol`. New
assertions: the default has the `0.159.0` CLI floor, the compatibility
fallback is floor-free, the `queue-steer` plan cell runs `runner-codex`
on `gpt-6.1-sol`, and all native Codex everyday cells (standard and
reliability) use `gpt-6.1-sol`.

Deliberately kept on `gpt-5.6-sol`:

- Rate cards: `server/src/services/codex-pricing.ts` and
`packages/paperclip-runner/src/evals/model-pricing.ts`. Old receipts
need them. (The runner eval rate card has no `gpt-6.1-sol` entry. An
unpriced candidate is reported as unpriced, not as zero. I did not add a
rate there because that card has its own version and source.)
- The remote Codex CLI compatibility fallback. A new
`CODEX_LOCAL_COMPATIBILITY_FALLBACK_MODEL = "gpt-5.6-sol"` replaces the
default in `codexModelFallbackCandidates`. `gpt-6.1-sol` needs Codex
0.159.0 or newer, so it cannot be the floor-free last resort. Fallback
behavior is unchanged.
- `tests/runner-e2e/provider-usage.ts`: the implicit request
cache-policy attribution stays qualified only for `gpt-5.6-sol`. I did
not verify that policy for `gpt-6.1-sol`. A `gpt-6.1-sol` response that
omits the write-TTL split keeps its cache-write cost unknown, which is
the existing behavior for unqualified models.
- `tests/runner-e2e/scheduled-measurements.json`: historical
`gpt-5.6-sol` measurements. They no longer match the current suite
definitions, so the forecast reports them as historical only. The
forecast tests now build their synthetic cohorts on the current
definition hash.
- Model catalogs that list `gpt-5.6-sol` as available (`codex-local`,
`cursor-local`, `opencode-local`, Speko voice diagnostics, Pi picker
fixture).
- The `gpt-5.6` → `gpt-5.6-sol` alias for old stored configs.
- Dated or evidence docs: `doc/plans/*`, `doc/adapter-model-audit-*`,
`QUALIFICATION-*`, `doc/connections/MEMORY.md`,
`doc/connections/TASK-REVIEWS-VERIFICATION.md`,
`tests/runner-e2e/CHAT-FEATURES.md`, the Slack eval evidence, and the
S49 soak signature text (the soak failure happened on `gpt-5.6-sol`).
- Test fixtures that parse, price, migrate or round-trip an existing
`gpt-5.6-sol` value (Rust runner tests, driver tests, pricing tests,
stored-config tests, stories that show an existing agent).

## Verification

- `npx vitest run` on every server, UI, adapter-utils and codex-local
test file that mentions `gpt-5.6-sol` or the default, plus all of
`packages/adapter-utils` and `packages/adapters/codex-local`: 5,483
passed. Three timeouts under load (`sandbox-managed-runtime`,
`acp.quota`) passed when rerun.
- `packages/paperclip-runner`: `vitest run` for `src/eval`, `src/evals`,
`src/drivers/acpx`, `src/drivers/codex`, `src/cli`, `src/contracts`,
`src/backends`: 2,641 passed.
- `node --test tests/runner-e2e/reliability-testops.test.mjs
tests/runner-e2e/product-regression-testops.test.mjs`: 28 passed.
- `node tests/runner-e2e/run-unit.mjs`: all model, catalog, reliability,
scheduled and TestOps tests pass. Failures remain only in
`copilot-protection-flow`, `denied-target-isolation-flow`,
`pi-controls-flow`, `workflow-target` and `unit-launcher`. These five
also fail on unmodified master in this local environment (filesystem
watch and git environment), and they do not touch models.
- `vitest run --config tests/runner-acceptance/vitest.config.ts`: 19
passed.
- `pnpm test:e2e:runner -- --list --suite everyday-workflows --group
reliability`: the seven `everyday-workflows.runner-codex.daytona.<case>`
cells show `gpt-6.1-sol` with `OPENAI_API_KEY,DAYTONA_API_KEY`.
`--matrix-json` gives 16 reliability cells with the same credentials as
before. `--list --all` shows no `gpt-5.6-sol` cell.
- Typecheck: `adapter-utils`, `adapter-codex-local`, `server`, `ui`,
`paperclip-runner` (TypeScript), and `pnpm test:e2e:runner:typecheck`.
- `pnpm check:token-gates`: clean.
- Not run: paid cells, Rust tests (no Rust change), the browser suites,
and the full `pnpm -r typecheck` / `pnpm build` (CI runs them).

## Risks

- Agents without an explicit model change model on their next save or
normalization, and Paperclip Runner rows with a blank model use
`gpt-6.1-sol` at execution. Stored models, including `gpt-5.6-sol`, are
never rewritten. No migration is necessary.
- `gpt-6.1-sol` needs Codex CLI 0.159.0 or newer with ChatGPT sign-in.
The runner pins `@openai/codex@0.160.0`. On a remote target with an
older image CLI, the existing compatibility check falls back to
`gpt-6-sol` and then `gpt-5.6-sol`, and that probe now runs for
default-model agents too. A legacy `codex_local` agent created with the
new default on a host with an older Codex CLI gets the existing
actionable "upgrade Codex" Test result.
- Qualification: the native Codex profile uses `adapter_constant` model
qualification, so it follows the default. No qualification gate is
dropped. The ACPX Codex qualification selection moves to `gpt-6.1-sol`.
Its next qualification run uses the new model. The provider-usage
cache-policy attribution stays limited to `gpt-5.6-sol`.
- Runner E2E history: the Codex cells change their suite definition
hashes, so earlier `gpt-5.6-sol` results are a separate cohort and do
not count as current.
- The `gpt-6.1-sol` scheduled price uses the file's existing `expiresAt`
(2026-11-19). It needs the same review as the other entries before then.
- No `.github/` change. The Reliability queue-steer cell keeps the
`runner-codex` profile id, so the existing workflow credential and setup
steps still match.

> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.

## Model Used

- Claude Opus 5.5 (Anthropic), model ID `claude-opus-5-5`, running in
Claude Code with tool use (shell, file edits, web fetch of the OpenAI
pricing page).

## 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

Related: #19604 (commits the Reliability TestOps identities; this PR
changes only `steeringProfile` in the same file).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-06 15:35:34 -06:00
…
…

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

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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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