Jannes Stubbemann 6e4aca9c67 feat(pi-local): env-driven gateway routing via PAPERCLIP_PI_PROVIDERS models.json (#7920)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - The `pi-local` adapter runs the Pi coding agent, including inside
remote/sandboxed execution targets; Pi resolves `--provider P --model M`
by an exact (provider, id) match against its model registry, and it has
no base-url CLI flag or env var: a `models.json` in its agent config dir
(`$PI_CODING_AGENT_DIR`, falling back to `$HOME/.pi/agent`) is its only
mechanism for custom or OpenAI/Anthropic-compatible endpoints
> - Deployments increasingly put an LLM gateway between the harness and
the model for cost, governance, or data-residency reasons: LiteLLM,
OpenRouter, Portkey, Kong, a corporate proxy, self-hosted models
(vLLM/Ollama), or region-pinned/sovereign endpoints. Today there is no
supported way to get such provider config into Pi's registry for
orchestrated runs
> - The opencode adapter gained the equivalent capability in #7837 and
codex in #7919; this pull request is the Pi analogue, so the harness
layer stays gateway-agnostic regardless of which CLI an agent uses;
nothing here is specific to one hosting setup
> - This pull request reads `PAPERCLIP_PI_PROVIDERS` (Pi's `models.json`
`providers` shape), materialises a managed `models.json` in a temp
agent-config dir, points `PI_CODING_AGENT_DIR` at it, and ships it to
remote execution targets with the run
> - The benefit is Pi works behind any compatible gateway with config
only; with no env set, behavior is unchanged

## Linked Issues or Issue Description

No existing issue; describing in-PR (feature / adapter enhancement).

- **Gap:** there is no supported way to register custom/gateway
providers + models for `pi-local`. Pi's only custom-endpoint mechanism
is a `models.json` in its agent config dir, and orchestrated (especially
sandboxed) runs have no way to provision one declaratively.
- Related: #7837 (the opencode-local analogue, same env-driven
gateway-routing pattern) and #7919 (the codex-local analogue). Searched
for duplicate or related PRs: no existing pi-local
gateway/provider-routing PR found.

> Note on ROADMAP: this is adapter-level, opt-in config (defaults
unchanged) that *enables* gateway routing for one harness; it is not the
core "Cloud / Sandbox agents" platform work itself.

## What Changed

- New `packages/adapters/pi-local/src/server/runtime-config.ts`:
`preparePiRuntimeConfig()` reads `PAPERCLIP_PI_PROVIDERS` (a JSON object
in pi's `models.json` `providers` shape) from the run env, then
`process.env`. When set, it expands `{env:VAR}` placeholders (run env
first, then process env; unresolvable placeholders left intact), writes
`{"providers": ...}` to a managed temp dir as `models.json`, and returns
env with `PI_CODING_AGENT_DIR` pointing at it plus a cleanup handle.
- `execute.ts`: the prepared dir ships to remote execution targets as
the managed-runtime asset `agentConfig` (same mechanism as opencode's
`xdgConfig`), and `PI_CODING_AGENT_DIR` is repointed to the in-target
path; cleanup runs in `finally`.
- Misconfiguration is visible, not silent: a set-but-unusable
`PAPERCLIP_PI_PROVIDERS` (invalid JSON, not an object, no provider
objects) surfaces an explanatory note instead of proceeding unconfigured
into an opaque model-not-found failure later, and provider entries with
non-object values are skipped with a note naming them. Unset/empty stays
a silent no-op (feature off).
- Defaults unchanged: with `PAPERCLIP_PI_PROVIDERS` unset, the adapter
behaves byte-for-byte as before, for local runs and for every existing
sandbox provider.

## Verification

- All pi-local tests green against this base (new: providers written
verbatim, `{env:VAR}` expansion from run env/process env/unresolvable,
no-op when unset, `PI_CODING_AGENT_DIR` set and shipped, the
misconfiguration notes incl. skipped non-object entries, remote asset
sync + env repoint). Typecheck and build clean.
- Production end-to-end evidence (our deployment, used as verification,
not as the scope of the change): a pi agent in a Kubernetes gVisor
sandbox resolved a custom provider from the shipped `models.json`,
completed an assigned issue through an Anthropic-compatible gateway, and
landed a billed usage row.

## Risks

Low. The entire feature is opt-in behind one env var; the only behavior
change when it is set is the intended one. The managed dir replaces the
host agent dir for the run by design (credentials travel inside the
provider config or via env-key indirection), which is the correct
posture for orchestrated runs. No migration/UI impact.

## Model Used

Claude Opus 4.8 (`claude-opus-4-8`, 1M context), extended thinking +
tool use, via Claude Code.

## 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 (adapter-level opt-in config enabling
gateway routing; not the core sandbox-platform work, noted above)
- [x] I have searched GitHub for duplicate or related PRs and linked
them above (#7837 and #7919 are the opencode/codex analogues; no
pi-local duplicate found)
- [x] I have either (a) linked existing issues OR (b) described the
issue in-PR following the relevant issue template
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [ ] If this change affects the UI, I have included before/after
screenshots (n/a, no UI)
- [ ] I have updated relevant documentation to reflect my changes (env
var documented inline; no central doc references the adapter env yet)
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green (green on the previous head;
re-running on the final note-copy polish commit)
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
(both prior review findings are fixed at head: the indirect notes-based
guard is now an explicit `agentConfigDir` handle, and a failed
`models.json` write no longer leaks the temp dir; a re-review is
requested for the note-copy polish)
- [x] I will address all Greptile and reviewer comments before
requesting merge

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

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-10 21:12:23 -07:00

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

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

Open-source orchestration for teams of AI agents.

If OpenClaw is an employee, Paperclip is the company.

Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard.

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

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.

npx 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:

npx paperclipai onboard --yes --bind lan
# or:
npx 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.

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 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
  • Scheduled Routines
  • Better Budgeting
  • Agent Reviews and Approvals
  • Multiple Human Users
  • Cloud / Sandbox agents (e.g. Cursor / e2b agents)
  • Artifacts & Work Products
  • Memory / Knowledge
  • Enforced Outcomes
  • MAXIMIZER MODE
  • Deep Planning
  • Work Queues
  • Self-Organization
  • Automatic Organizational Learning
  • CEO Chat
  • Cloud deployments
  • Desktop App

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


Community & Plugins

Find Plugins and more at awesome-paperclip

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.

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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