7df517d18f perf(build): reuse a current Runner build in the server's prepare:runner-vendor step (#15926)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work
> - Its CI runs a `Build` job on every pull request. That job runs `pnpm
build` and then verifies the public npm install. Since the server test
shards got faster, `Build` is the slowest check in most runs (419-497s
on the six fully green `master` runs created 2026-10-11 19:46Z to
20:17Z).
> - Inside `pnpm build`, the server package is the last package to
build. Its first step, `prepare:runner-vendor`, runs the full build of
`@paperclipai/paperclip-runner` so the server can vendor
`packages/paperclip-runner/dist`. In `pnpm -r build` that package was
built seconds earlier by the same command. The second build took 12-16s
on those six runs and sits on the critical path of the job.
> - The step cannot just be removed. A standalone `pnpm --filter
@paperclipai/server build` (the Dockerfile's path) must produce a
current vendored Runner on its own.
> - This pull request keeps that guarantee and skips only the build that
is provably redundant. The Runner's `build` records a digest of its
inputs, captured before its first step and confirmed after its last,
together with a manifest of every file it left under `dist`. The
server's `prepare:runner-vendor` reuses the build when the digest
matches, the stamp is for this platform, and every recorded output is
still there at its recorded size. Any other state runs the same full
Runner build as before.
> - The benefit is 12-16s off the `Build` job and off every other `pnpm
build` (the Canary Dry Run's `release.sh` build, local builds), with no
change to what a standalone server build produces. The PR's own first
run measured it: the server step reused the build in 56ms where `master`
runs rebuilt for 11-15s.

## Linked Issues or Issue Description

No GitHub issue exists for this. The description below follows the
enhancement template.

**What existing behavior does this improve?**

The server build's `prepare:runner-vendor` step, which builds
`@paperclipai/paperclip-runner` so the server can vendor its `dist`.

**Subsystem affected**

Build and CI (`server/package.json`,
`packages/paperclip-runner/package.json`, the `Build` job).

**Current behavior**

`prepare:runner-vendor` runs the Runner's full `build` every time.
Inside `pnpm -r build`, the Runner was already built by the same command
20 to 25 seconds earlier, with every check passing. On six fully green
`master` runs (2026-10-11, 19:46Z to 20:17Z) the repeated build took
11.8s to 15.9s, measured from the `server build$ pnpm run
prepare:runner-vendor` log line to the Runner's `Finished release
profile` line. The server package builds last, so that time is on the
critical path of `Build`, which is the slowest check in most pull
request runs.

**Proposed behavior**

- The Runner's `build` starts with `node scripts/record-build-inputs.mjs
--begin` and ends with `node scripts/record-build-inputs.mjs --finish`.
`--begin` removes the previous stamp and records a digest of every build
input before the first step reads anything. `--finish`, after every step
and check has passed, recomputes the digest and writes
`packages/paperclip-runner/node_modules/.cache/paperclip-runner-build-inputs.json`
only if the inputs are still the ones the build began with, together
with the path and size of every file under `dist`. A stamp therefore
exists only for a build that completed every step on inputs that did not
move while it ran.
- The server's `prepare:runner-vendor` becomes `node
scripts/prepare-runner-vendor.mjs`. It reuses the build if the stamp is
for this platform and architecture, every recorded output is still there
at its recorded size, and the recomputed digest matches. In every other
case it removes the stamp and runs `pnpm --filter
@paperclipai/paperclip-runner build`, the exact command the step ran
before.
- `PAPERCLIP_RUNNER_VENDOR_REBUILD=1` forces the rebuild.

**Reason and benefit**

12-16s off the `Build` job and off every other `pnpm build` (the Canary
Dry Run's `release.sh` build, local builds), with no change to what a
standalone `pnpm --filter @paperclipai/server build` produces.

**Breaking changes**

None. The rebuild path runs the same command as before. A fresh
checkout, a changed input, a missing or truncated output, an edit that
landed during the build, or a stamp from another platform always
rebuilds.

## What Changed

- `packages/paperclip-runner/scripts/build-inputs.mjs` (new): defines
the input set, the digest, the output manifest and the reuse decision.
Inputs are every file under `packages/paperclip-runner` except `dist`,
`dist-browser`, `runner/target`, `node_modules` and dot-directories;
every file under `packages/paperclip-eval-kernel` except `dist` and
`node_modules` (the Runner's `build:typescript` builds it first); every
file under the root `patches` directory (`check:acpx-profiles` hashes
`acpx@0.13.1.patch`, and `build-verified-provider-entrypoints.mjs`
copies the `pi-acp` and `brace-expansion` patches into
`dist/cli/pi-provision-inputs`); and the root `package.json`,
`pnpm-lock.yaml`, `pnpm-workspace.yaml` and `tsconfig.base.json`. The
toolchain pins are inside the package (`rust-toolchain.toml`,
`runner/Cargo.lock`) and the TypeScript version is in the lockfile, so
both are covered. A symlink is hashed as its target path and is not
followed. Outputs are every file under `dist`, the tree the server
copies wholesale, recorded with their sizes. Exports `beginRunnerBuild`,
`recordRunnerBuild` and `assessRunnerBuild` (returns `current` plus a
stable reason code: `no_stamp`, `schema_mismatch`, `platform_mismatch`,
`missing_output`, `outputs_changed`, `inputs_changed`,
`inputs_unchanged`).
- `packages/paperclip-runner/scripts/record-build-inputs.mjs` (new): the
two phases, `--begin` and `--finish`, added as the first and last step
of the Runner's `build` in `packages/paperclip-runner/package.json`.
Each build chain has its own pending record under
`node_modules/.cache/paperclip-runner-build-inputs.pending/`, named
after the shell pnpm runs the chain in (the parent of both phases;
`--finish` also accepts a record named after its own pid, for a shell
that execs the last command of the chain), so two Runner builds running
at once in one checkout do not consume each other's record. `--finish`
without a pending record for its chain is an error, so the chain cannot
silently lose its first step; `--finish` after an edit that landed
mid-build prints `not recorded: inputs changed while the build ran` and
leaves no stamp. Records of builds that never finished are pruned by the
next `--begin` after a day.
- `server/scripts/prepare-runner-vendor.mjs` (new): the reuse-or-rebuild
step. It resolves the pnpm that is running it through `npm_execpath`
with the same rule as the CLI's `resolvePnpmInstallInvocation` (a
JavaScript entry runs through this Node, a native executable runs
directly, otherwise `pnpm` on PATH). It prints one
`paperclip.runner-vendor.timing.v1` line with `action`, `reason`,
`check_ms` and `build_ms`, so the saving is measured on this PR's own
`Build` job.
- `server/package.json`: `prepare:runner-vendor` now runs that script.
The `build` and `typecheck` scripts are unchanged.
- `server/src/__tests__/server-package-build-script.test.ts`: pins the
new indirection and the command behind it (imported from the script, so
the Dockerfile's standalone path stays pinned), and a new test asserts
the Runner's `build` starts with `--begin`, ends with `--finish`, and
has exactly those two record steps.
- Tests: `packages/paperclip-runner/scripts/build-inputs.test.mjs`
(node:test, added to `test:typescript:prep`) and
`server/scripts/prepare-runner-vendor.test.mjs` (vitest, in the server
lane).
- `doc/DEVELOPING.md`: a "Reused Runner build in the server build"
section under Test Commands.

## Review findings on the first head, all fixed in
[2d57542](https://github.com/paperclipai/paperclip/pull/15926/commits/2d575425977f87b4612222d0a1961bc9cc5ba569)

Greptile scored the first head 2/5 with three P1 findings. All three
were valid.

| Finding | Fix |
| --- | --- |
| **Patch edits leave stale output.** The root patch files the build
reads were not in the digest. | Every file under the root `patches`
directory is an input. Tests assert the patches are in the input list
and that editing the pi-acp patch, the acpx patch, or adding a patch
changes the digest. |
| **Missing helpers pass the build.** Only four outputs were checked, so
a `dist` that lost `dist/cli/acpx-runtime-sidecar.cjs` still counted as
current. | `--finish` records the path and size of every file under
`dist`; reuse requires all of them intact and reports `outputs_changed`
naming the first missing or resized file. Schema bumped to
`paperclip.runner-build-inputs.v2` so an older stamp is rejected. Tests
cover a deleted helper, a truncated helper, and the server step
rebuilding on `outputs_changed`. |
| **New edits count as compiled.** The digest was hashed after the
build, so a source edited while `build:binary` ran was recorded as
compiled. | The build is bracketed: `--begin` captures the digest before
the first step, `--finish` compares after the last and writes nothing if
it moved. Tests cover the mid-build edit, the undisturbed build, and the
CLI in both orders. |

## Review finding on the second head, fixed in the third commit

Greptile scored the second head 4/5 with one P1, valid: two Runner
builds running at once in one checkout (server `build` beside
`typecheck`) shared one pending record, so the second `--begin`
overwrote it, the first `--finish` consumed it, and the second
`--finish` threw `no pending build inputs` after every step of its build
had passed. Reproduced on the second head's module: two
`beginRunnerBuild`, then the first `recordRunnerBuild` records and the
second throws.

| Finding | Fix |
| --- | --- |
| **Overlapping builds fail each other.** One pending file for every
build chain. | One record per chain, named after the shell pnpm runs the
chain in: `--begin` sees it as its parent, and so does `--finish`,
unless the shell execs the last command of the chain (bash can), in
which case `--finish` is that shell and finds the record under its own
pid. Pending records of builds that never finished are pruned after a
day. An edit between two overlapping starts leaves no stamp whichever
build finishes last: the build that began before the edit reports
`inputs_changed_during_build` and removes the stamp the other wrote, so
a stamp always means every build that wrote `dist` read the inputs it
names. Tests: both finishing orders with and without an edit, the
pruning, a `--finish` that cannot use another chain's record, and two
real `sh -c` chains (plus one under `bash`) held open at the same time,
both recording. On the real repo, two `pnpm --filter
@paperclipai/paperclip-runner build` chains started 8s apart with a
cargo stand-in both recorded (`files=1223 outputs=1434`) and left the
pending directory empty. |

## Measured on this PR's runs

The `Build` job ran `pnpm build` from the branch, so both builds of the
Runner in that job used the new chain.

First head (c23faab, run 38175281058), against the four fully green
`master` runs created 20:41Z to 21:37Z the same evening:

| | PR run 38175281058 | `master`, four runs |
| --- | --- | --- |
| Runner build inside `pnpm -r build` | 55.3s | 47.3-62.0s |
| Server step `prepare:runner-vendor` |
`action:reuse,reason:inputs_unchanged,check_ms:56,build_ms:0` | full
Runner rebuild, 11.0-14.8s |
| Server package build | 29.7s | 32.3-43.5s |
| `pnpm build` step | 114s | 102-135s |
| `Build` job | 411s | 409-474s |

Second head (2d57542, run 38178686999), against the two fully green
`master` runs created in the same half hour (38178951607 and
38180574768):

| | PR run 38178686999 | `master`, two runs |
| --- | --- | --- |
| Runner build inside `pnpm -r build` | 53.9s (`begin:` 22:03:04,
`recorded:` 22:03:57, digest 460e02616081 over 1231 files and 1434
outputs) | 62.2s, 64.6s |
| Server step `prepare:runner-vendor` |
`action:reuse,reason:inputs_unchanged,check_ms:109,build_ms:0` | full
Runner rebuild, 14.5s, 15.2s |
| Server package build | 27.4s | 43.5s, 44.8s |
| `pnpm build` step | 106s | 91s, 95s to the Runner's end plus the rest;
127s, 135s in all |
| `Build` job | 405s | 461s, 479s |

The rebuild is gone from the server build on both heads, and the check
costs 56-109ms where `master` rebuilds for 11-15s; the rest of the
spread between runs is runner speed on the `runs-on` fleet. The third
commit changes nothing on the reuse path: it only changes where the
pending record lives between `--begin` and `--finish`.

## Verification

- `node --test packages/paperclip-runner/scripts/build-inputs.test.mjs`:
11 tests, three consecutive runs clean. Two builds at once in one
checkout each keep their own pending record and both record, in either
finishing order; with an edit between their starts the build that began
before it leaves no stamp whichever finishes last. A build's start
prunes records older than a day and no others. A `--finish` cannot use
another chain's record. Two chains run by separate `sh -c` shells at the
same time (and one under `bash`) both record and leave the pending
directory empty. The input set is exactly the sources, the eval kernel,
the root patches and the root config, and skips outputs and caches. The
output manifest lists every file under `dist` with its size and nothing
outside it. The digest is stable across reads, does not change when
`dist`, `dist-browser`, `node_modules`, `.vite` or `runner/target`
change, and does change for a Runner source, a Rust source, an
eval-kernel source, the pi-acp patch, the acpx patch, a new patch, the
lockfile, the base tsconfig, a new file and a rename. A symlink changes
the digest but its target's files are not read. A build is current only
with a matching v2 stamp, the same platform and architecture, the four
named outputs present, and every recorded output intact (a deleted or
truncated helper is `outputs_changed`; a file the build did not produce
may appear). An input edited between `--begin` and `--finish` leaves no
stamp and removes the pending record; the next build records normally.
`--finish` without `--begin`, or after a build that left a required
output missing, throws and leaves no stamp. The CLI brackets the build
for the package it is pointed at, reports a mid-build edit, and rejects
`--finish` first, both flags, neither flag, and unknown arguments.
- `vitest run scripts/prepare-runner-vendor.test.mjs
src/__tests__/server-package-build-script.test.ts` in `server/`: 21
tests. The decision reuses a current build, rebuilds a stale one, and
rebuilds a current one only when `PAPERCLIP_RUNNER_VENDOR_REBUILD=1`.
The pnpm resolver covers a JavaScript entry, a native executable, a
Windows executable, no `npm_execpath`, and npm's `npm_execpath`. With an
injected build command: a current stamp runs nothing and prints
`action:reuse`; changed inputs run the exact command from `server/` with
the stale stamp already removed; a lost
`dist/cli/acpx-runtime-sidecar.cjs` rebuilds with
`reason:outputs_changed`; a failing build returns its status and leaves
no stamp. End to end, the CLI with a stand-in `pnpm` on PATH that
brackets its build the way the real one does rebuilds on the first call,
reuses on the second, rebuilds after a source change, rebuilds after a
lost output, and reuses again. The guard test asserts
`prepare:runner-vendor` is the new script, the rebuild command is still
`pnpm --filter @paperclipai/paperclip-runner build`, the server build
still starts with the step, and the Runner's `build` starts with
`--begin` and ends with `--finish` with exactly two record steps; it
fails against the previous build script on its first assertion.
- Real repo, this checkout, with `cargo` and `pnpm` stand-ins on PATH
(no Rust toolchain here; the stand-in writes the one file
`stage-runner-binary.mjs` copies): `pnpm --filter
@paperclipai/paperclip-runner build` ran the complete chain through the
real nested pnpm (every TypeScript step and check, the stand-in cargo,
the binary staging, the two binary-reading checks) and recorded
`files=1223 bytes=18735059 outputs=1434`; the stamp is 128 KB. `pnpm run
prepare:runner-vendor` in `server/` then printed
`action:reuse,reason:inputs_unchanged,check_ms:222,build_ms:0`.
Appending a newline to `patches/pi-acp@0.0.33.patch` made the assessment
`inputs_changed`; truncating or deleting
`dist/cli/acpx-runtime-sidecar.cjs` or
`dist/cli/opencode-app-server-proxy.cjs` made it `outputs_changed` in
1-5ms; restoring each made it current again. `--begin`, an edit to
`src/index.ts`, then `--finish` printed `not recorded: inputs changed
while the build ran` and left no stamp.
- The whole check on the real set (1223 inputs, 18 MB; 1434 outputs)
takes 165-227ms on this host and took 56ms on the CI runner; the output
manifest part is 1-5ms.
- Not run here: the real `cargo build`, and `pnpm build` end to end.
This PR's `Build` job runs `pnpm build` from the branch, so its log
carries the Runner's `begin:` and `recorded:` lines and the server
build's `paperclip.runner-vendor.timing.v1` line with the measured
result.

## Risks

- A build input outside the digest would let a stale Runner be vendored.
The digest covers the whole Runner package except its outputs, the eval
kernel the Runner builds first, the root patches, and the root files the
Runner's tsconfig and dependency graph read. The lockfile covers
dependency versions, and the pins inside the package cover the Rust
toolchain. An input missed here is a bug to fix by adding it to the set;
the fallback direction is always a rebuild, never a skip.
- The whole `patches` directory is an input, although the Runner build
reads three of its fourteen files. An edit to an unrelated patch
therefore costs one extra Runner rebuild, which is the safe direction
and avoids a hand-kept list of file names that could drift from the
scripts that read them.
- The stamp lives in `node_modules/.cache`, which pnpm does not manage
and `.gitignore` and `.dockerignore` already exclude. It is about 128 KB
with the output manifest. The Docker build has no stamp and no prior
Runner build, so it rebuilds exactly as before.
- A stamp is written only after the Runner's `build` passed every step
on inputs that did not change while it ran. The Runner's first step and
the prepare step both remove any existing stamp before a rebuild starts,
so a build that stops partway, or a build command that fails before its
first step, leaves no stamp.
- `node scripts/record-build-inputs.mjs --finish` on its own is an
error; the script is only meant to run as the two ends of the `build`
chain, and the guard test pins that.
- The pending record is keyed by the pid of the shell that runs the
chain. pnpm runs every script through a shell (`sh -c` on POSIX, `cmd`
on Windows), and both phases are children of that shell; a shell that
execs the last command of the chain is covered by matching the finishing
process's own pid too. A chain run some other way, with the two phases
under different parents, fails loudly at `--finish` rather than
recording. Two builds running at once still write the same `dist`, which
no stamp can make safe; what the record guarantees is that a stamp is
written only by a build whose own inputs did not move.
- The platform and architecture are part of the comparison, so a stamp
from another machine is never trusted; an older v1 stamp is rejected by
schema.
- The Typecheck job builds the Runner once, through this step, with no
prior `pnpm -r build`, so it gains nothing and loses nothing: there is
no stamp and it rebuilds as before.
- The step now spawns pnpm through `npm_execpath` instead of relying on
`pnpm` being on PATH, because under corepack the script shell has no
`pnpm`. Outside a pnpm script it still falls back to `pnpm` on PATH.

## Model Used

- Claude (Anthropic), model id `claude-fable-5-1` (Claude Fable 5.1),
extended thinking, with tool use (shell, file editing, GitHub CLI) in a
Paperclip agent session.

## 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

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

---------

Co-authored-by: devinfoley <139239+devinfoley@users.noreply.github.com>
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-10-12 11:25:24 -07:00
…
…
…

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

Quickstart · Docs · GitHub · Discord · Twitter · Website

MIT License Stars Discord Security posture verified by Superagent

Star History Rank


Sign up for the Paperclip Cloud waitlist →


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 and experimental pipelines 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, 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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