<!-- Write all pull request text in Simplified Technical English (ASD-STE100). --> ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Task descriptions, comments, continuation data, skills, and execution rules enter several agent adapters. > - The same source can be rendered by more than one automatic input carrier. > - Failed resumes can also rebuild input from stale or compact context. > - This pull request gives each Paperclip-owned source one delivery owner and preserves the required transport boundaries. > - It adds deterministic adapter, interaction, runner, and browser tests for these boundaries. > - The benefit is more predictable context delivery with explicit evidence for later live qualification. ## Linked Issues or Issue Description Related: #13144 removes a duplicate environment payload and bounds wake lists. Related: #11360 addresses Hermes resume behavior. This pull request preserves compatible active-session formats while repairing context ownership and stale question creation. **What happened?** Task descriptions and comments could enter more than one automatic context block. Native transports could wrap a complete model input in a second task envelope. Some legacy and gateway adapters could omit the owned assignment on ordinary tasks or rebuild a failed resume with stale compact context. A continuation could also request a question after newer human comments had arrived. **Expected behavior** Each task or comment source has one automatic model-facing owner. Distinct comment IDs and repeated wording remain distinct. Fresh fallback attempts rebuild the required full context. A question request is rejected when newer queued human direction makes it stale. Harness access policy remains owned by execution configuration. **Steps to reproduce** 1. Build a task with a description and current comments. 2. Capture the actual adapter or runner input. 3. Compare source ownership and task-envelope nesting. 4. Queue a human comment before a continuation requests a question. 5. Trigger a failed resume and inspect the fresh retry input. 6. Run the focused adapter, interaction, runner, and browser checks. ## What Changed - Add shared prompt-section selection at the provider-attempt boundary. - Deliver owned assignment context through native, legacy CLI, ACP, gateway, cloud, Pi, Kimi, Grok, Gemini, OpenCode, Cursor, OpenClaw, and Hermes paths. - Rebuild full or compact context after resume recovery changes the attempt. Add native and Claude ACP tests of actual recovery requests. - Preserve custom templates, loaded instruction files, execution policies, and older active-session formats. - Record continuation source metadata and reject stale question creation under the issue-row lock. - Add explicit Product E2E context-integrity profiles, prerequisite gates, credential-isolation checks, and report fixtures. - Bypass service-worker forwarding for same-origin Vite development modules. A real Chromium test fails with resource exhaustion before the repair and passes after it. Production asset caching keeps its existing policy. - Add browser diagnostics and service-worker module-loading regressions. - Add an explicit zero-retry eval option. The default retry behavior remains unchanged. Each campaign records its effective policy. - Remove the model-facing working-directory sentence from four prompt builders. Existing workspace, sandbox, permission, and custom-template configuration remains unchanged. - Align the everyday workflow assertion with the current 47-entry catalog. Compared with current upstream master, the branch carries the context-ownership implementation and its tests, the explicit context-integrity catalog and evidence harness, and the focused browser regression checks. ## Verification **Merge assessment:** focused regression evidence supports merge. This is not full completion of the original broad qualification matrix. The maintainer has authorized merge after fresh verification of the master integration. - Current head: `bbd52f82114eabf09bc7b1a7e97d54a5b43bbc00`. This integrates current master `2f585ef26a1814fa209715242d1ca791b63e4c4e`. All 14 conflicts are resolved. Cancellation checks, workspace finalization, native Grok support, and both sets of tests are retained. - Current-head Greptile: **5/5**, with no blocking findings. The review names this exact commit. All **59 reported checks are terminal: 55 successful, 4 skipped, zero pending or failing**. This includes the full root general and serialized suites, separate runner checks, typecheck, build, canary, browser E2E, Docker, and security checks. The successful legacy security status is included in that total. - After integration: workspace typecheck and full build passed. Separate runner checks passed: **2,160 TypeScript tests (10 skipped), 582 Rust tests, and 39 preparation checks**. Other passing checks include 621 Product E2E harness units, 376 focused shared/adapter tests, 160 real-database/API tests, 86 Hermes tests, 18 browser-support checks, and Product E2E typechecking. The complete root suite passed in CI. The duplicate local monolithic root run was stopped after that CI result; it is not counted as a completed local pass. - New native recovery coverage retains full assignment, completion contract, and explicit skill selection after safe replacement, for old and prepared input formats. Full native session test file: **136/136 passed**. - New Claude ACP coverage captures actual fresh, resumed, and missing-session fallback requests. It verifies one assignment copy, comment order, identical text under distinct comment IDs, and full fallback context. Full file: **33/33 passed**. Both affected TypeScript checks passed. - Existing deterministic tests cover source revisions, approval and trust boundaries, completion validation, custom templates, compatible sessions, standalone driver wrapping, and maintained adapter transport requests. - Provider-free browser support: **17/17 passed** after the master merge. Service-worker unit tests: **33/33 passed**. The module-overload regression failed before the repair and passed after it in real Chromium. ### Fresh live comparisons The new batch ran exactly four Product E2E attempts. **All four passed on the first attempt; no retries.** Each has six terminal matchers plus the existing browser lifecycle and invariant checks. | Exact case ID | Control | Candidate | |---|---|---| | `core-compatibility.runner-codex.local.plan-revise-accept` | Passed | Passed | | `local-session-integrity.runner-acpx-claude.local.structured-question-restart-resume` | Passed | Passed | The plan case checks a revised canonical plan and revision-bound approval before completion. The question case restarts the server before submitting the answer, then verifies the continuation completes. Control source is `dfa4e1bda8d50a1a01746603251a9128dbe9d0d6`. Candidate source is `79fcdb5dece501d28064ea9da306603881b46f0c`. They use identical frozen definitions and provider versions: Codex `0.156.0` with `gpt-5.6-sol`; ACPX `0.13.1` / Claude ACP `0.73.0` with `claude-sonnet-5`. The September 24 head added master browser recovery and test-only changes. The September 28 head also integrates newer master changes, including cancellation, workspace finalization, and native Grok. These are frozen-source live results, not exact-head live runs. The candidate received one description copy where the control initially received three. The submitted initial plan envelopes were 7,969 versus 19,097 characters. Question envelopes were 7,592 versus 18,919. These are structural measurements, not whole-provider token or dollar savings. ### Earlier evidence and failed attempts - The preceding fresh batch has four effective passing pairs: OpenCode comment continuation and assigned skill, native Codex comment continuation, and native Claude comment continuation. It retains **11 attempts: eight passed and three failed**. - Original failures remain recorded: missing local PostgreSQL library links before task creation; host-sleep cleanup after task/page checks passed; and a Claude **control** session-open rejection before a model turn. Setup was repaired identically on both worktrees. The permitted unchanged infrastructure retries passed. The underlying Claude provider startup error was not retained and remains unknown. - Older R2 retains **17 passes and one failure** across 18 attempts, including eight both-pass native/legacy Codex/Claude pairs. Its OpenCode blank-page failure led to the service-worker repair. R2 is historical evidence: master changed the native fixed prompt and removed duplicate wake environment data afterward. - The September 24 CI run initially failed one unrelated preview readiness test (`ECONNREFUSED` on its local fixture). Its test and production code match master. Isolated local verification passed **28 tests, 3 skipped**. One unchanged CI retry passed the full shard: **831 passed, 1 skipped**, including all **31 preview-exposure tests**. The aggregate CI gate passed afterward. The precise startup cause remains unknown; a port race is a hypothesis, not a proved cause. ### Limits The original wider profile/workflow matrix, repeated trials, and remote Daytona qualification are incomplete. These results support a focused merge recommendation, not statistical equivalence or universal harness qualification. Some usage receipts are missing in both variants, so no token or dollar savings are claimed. The $500 ceiling was preserved using conservative allowances; failed attempts and unknown charges remain in the ledger. Reproduce the focused additions with `pnpm exec vitest run packages/adapters/claude-local/src/server/acp.test.ts` and `pnpm --filter @paperclipai/paperclip-runner exec vitest run src/native-session-runtime.test.ts`. Full checks use `pnpm -r typecheck`, `pnpm test:run`, `pnpm build`, and the separate runner checks. Paid evals require the frozen definitions, profiles, and credentials; do not use `--all` as a substitute for the selected cases. ## Risks - Context placement changes can affect model behavior. Deterministic checks cover the selected paths, but live qualification remains incomplete. - The stale-question guard can reject a request when queued human comments arrived during the run. This is intended. - New stored inputs and model envelopes retain compatibility readers for older active sessions. - Custom templates may intentionally repeat content. - Removing a model-facing working-directory sentence does not change filesystem, command, sandbox, or permission configuration. - The worker bypass applies only to same-origin development module paths. Cache-policy tests preserve private-response handling and production asset caching. Mounted HTTP fixture changes remain test-only. - This PR does not claim measured token savings or statistical equivalence across every harness. ## Model Used OpenAI Codex, exact model gpt-6-astra, with repository tools and code execution. Bounded supporting work used gpt-5.6-luna and gpt-6-luna. The serving context-window size is not exposed in this task. ## 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 described the issue in-PR using the required issue fields - [x] I have not referenced internal/instance-local Paperclip issues or links - [x] My branch name describes the change and contains no internal ticket id - [x] I have run the focused local checks and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect these changes - [x] I have considered and documented risks above - [x] All current-head Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups for the current head - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
Quickstart · Docs · GitHub · Discord · Twitter · Website
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. |
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.
| Pillar | Built for | What it covers |
|---|---|---|
| Agentic Task Manager — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |
| Org Chart for Agents — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries |
| Agent Employee Training — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents |
| Agentic OS — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value |
Features
🔌 Bring Your Own AgentAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired. |
🎯 Goal AlignmentEvery task traces back to the organization mission. Agents know what to do and why. |
💓 HeartbeatsAgents wake on a schedule, check work, and act. Delegation flows up and down the org chart. |
💰 Cost ControlMonthly budgets per agent. When they hit the limit, they stop. No runaway costs. |
🏢 Multi-OrganizationOne deployment, many organizations. Complete data isolation. One control plane for your portfolio. |
🎫 Ticket SystemEvery conversation traced. Every decision explained. Full tool-call tracing and immutable audit log. |
🛡️ GovernanceApprove hires, override strategy, pause or terminate any agent — at any time. |
📊 Org ChartHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description. |
📱 Mobile ReadyMonitor and manage your autonomous businesses from anywhere. |
Problems Paperclip solves
| Without Paperclip | With Paperclip |
|---|---|
| ❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything. | ✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots. |
| ❌ You manually gather context from several places to remind your bot what you're actually doing. | ✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why. |
| ❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents. | ✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts. |
| ❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened. | ✅ Cost tracking surfaces token budgets and throttles agents when they're out. Management prioritizes with budgets. |
| ❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off. | ✅ Heartbeats handle regular work on a schedule. Management supervises. |
| ❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it. | ✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work. |
Why Paperclip is special
Paperclip handles the hard orchestration details correctly.
| Atomic execution. | Task checkout and budget enforcement are atomic, so no double-work and no runaway spend. |
| Persistent agent state. | Agents resume the same task context across heartbeats instead of restarting from scratch. |
| Runtime skill injection. | Agents can learn Paperclip workflows and project context at runtime, without retraining. |
| Governance with rollback. | Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely. |
| Goal-aware execution. | Tasks carry full goal ancestry so agents consistently see the "why," not just a title. |
| Portable company templates. | Export/import orgs, agents, and skills with secret scrubbing and collision handling. |
| True multi-organization isolation. | Every entity is company-scoped, so one deployment can run many companies with separate data and audit trails. |
What's Under the Hood
Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:
┌──────────────────────────────────────────────────────────────┐
│ PAPERCLIP SERVER │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │Identity & │ │ Work & │ │ Heartbeat │ │Governance │ │
│ │ Access │ │ Tasks │ │ Execution │ │& Approvals│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Org Chart │ │Workspaces │ │ Plugins │ │ Budget │ │
│ │ & Agents │ │ & Runtime │ │ │ │ & Costs │ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
│ │
│ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │
│ │ Routines │ │ Secrets & │ │ Activity │ │ Company │ │
│ │& Schedules│ │ Storage │ │ & Events │ │Portability│ │
│ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │
└──────────────────────────────────────────────────────────────┘
▲ ▲ ▲ ▲
┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐ ┌─────┴─────┐
│ Claude │ │ Codex │ │ CLI │ │ HTTP/web │
│ Code │ │ │ │ agents │ │ bots │
└───────────┘ └───────────┘ └───────────┘ └───────────┘
The Systems
|
Identity & Access — Two deployment modes (trusted local or authenticated), board users, agent API keys, short-lived run JWTs, company memberships, invite flows, and OpenClaw onboarding. Every mutating request is traced to an actor. |
Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired. |
|
Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. No double-work, no lost context. |
Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce structured logs, cost events, session state, and audit trails. Recovery handles orphaned runs automatically. |
|
Workspaces & Runtime — Project workspaces, isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Agents work in the right directory with the right context every time. |
Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, agent pause/resume/terminate, and full audit logging. Nothing ships without your sign-off. |
|
Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Overspend pauses agents and cancels queued work automatically. |
Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed. |
|
Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it. |
Secrets & Storage — Instance and company secrets, encrypted local storage, provider-backed object storage, attachments, and work products. Sensitive values stay out of prompts unless a scoped run explicitly needs them. |
|
Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why. |
Company Portability — Export and import entire organizations — agents, skills, projects, routines, and issues — with secret scrubbing and collision handling. One deployment, many companies, complete data isolation. |
What Paperclip is not
| Not a chatbot. | Agents have jobs, not chat windows. |
| Not an agent framework. | We don't tell you how to build agents. We tell you how to run a company made of them. |
| Not a workflow builder. | No drag-and-drop pipelines. Paperclip models companies — with org charts, goals, budgets, and governance. |
| Not a prompt manager. | Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in. |
| Not a single-agent tool. | This is for teams. If you have one agent, you probably don't need Paperclip. If you have twenty — you definitely do. |
| Not a code review tool. | Paperclip orchestrates work, not pull requests. Bring your own review process. |
Quickstart
Open source. Self-hosted. No Paperclip account required.
curl -fsSLO https://paperclip.ing/install.sh
curl -fsSLO https://paperclip.ing/install.sh.sha256
if command -v sha256sum >/dev/null 2>&1; then
sha256sum -c install.sh.sha256
else
shasum -a 256 -c install.sh.sha256
fi
bash install.sh
The installer ensures Node.js 24.11 or newer is available, installs a managed
Paperclip CLI under ~/.paperclip/cli, and starts interactive onboarding. It
can also install Paperclip as a background service on supported Linux and
macOS systems. The checksum detects transfer or publishing mistakes, but it is
served from the same origin as the script; use a release-tag or commit-pinned
GitHub copy when you need an independently hosted source.
For a non-interactive managed install:
curl -fsSL https://paperclip.ing/install.sh | bash -s -- --no-prompt --no-onboard
paperclipai onboard --yes
The piped form requires supported Node.js, npm, and npx to already be present.
If Node.js bootstrap is required, download and review install.sh before
running it so no privileged dependency-install command is accepted through a
pipe.
To try Paperclip without installing anything permanently:
npx --registry https://registry.npmjs.org paperclipai onboard --yes
For an isolated manual test instance that is already initialized with a CEO
agent, use test-drive. It stays in the foreground, never installs a service
or creates a first task, and opens the browser only after setup succeeds:
ANTHROPIC_API_KEY=... npx paperclipai test-drive
OPENAI_API_KEY=... npx paperclipai test-drive --harness codex
OPENROUTER_API_KEY=... npx paperclipai test-drive \
--harness opencode \
--model openrouter/anthropic/claude-sonnet-4.5
Each run without --data-dir gets a unique, retained temporary directory; its
absolute path is printed at startup. Pass --data-dir to reuse one, or
--no-browser to leave the initialized instance unopened. When invoked from a
linked Git worktree, test-drive also enables task execution in that worktree.
See doc/CLI.md for credential and
reuse behavior.
Troubleshooting: private npm registry
.npmrcIf this fails with an
E404forpaperclipai(or similar) and you use a private npm registry (for example GitHub Packages) via a global~/.npmrc,npxmay be resolvingpaperclipaiagainst that private registry instead of the public npm registry.Diagnostic:
npm config get registryWorkaround (cross-platform; force the public npm registry for this command):
npx --registry https://registry.npmjs.org paperclipai onboard --yes
That quickstart path now defaults to trusted local loopback mode for the fastest first run. To start in authenticated/private mode instead, choose a bind preset explicitly:
paperclipai onboard --yes --bind lan
# or:
paperclipai onboard --yes --bind tailnet
If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use paperclipai configure to edit settings.
See doc/INSTALLING.md for pinned versions, canary and
git-ref installs, updates, rollback, service management, and uninstalling.
Or manually:
git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev
This starts the API server at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.
Requirements: Node.js 24.11+, pnpm 9.15+
FAQ
What does a typical setup look like? Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.
If you're a solo entrepreneur you can use Tailscale to access Paperclip on the go. Then later you can deploy to e.g. Vercel when you need it.
Can I run multiple companies? Yes. A single deployment can run an unlimited number of companies with complete data isolation.
How is Paperclip different from agents like OpenClaw or Claude Code? Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.
Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello? Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.
(Bring-your-own-ticket-system is on the Roadmap)
Do agents run continuously? By default, agents run on scheduled heartbeats and event-based triggers (task assignment, @-mentions). You can also hook in continuous agents like OpenClaw. You bring your agent and Paperclip coordinates.
Development
pnpm dev # Full dev (API + UI, watch mode)
pnpm dev:once # Full dev without file watching
pnpm dev:server # Server only
pnpm dev:mobile # Serve prebuilt UI on :3101 for phones/tablets (proxies /api → :3100)
pnpm dev:both # Run `pnpm dev` and `pnpm dev:mobile` together
pnpm build # Build all
pnpm typecheck # Type checking
pnpm test # Cheap default test run (Vitest only)
pnpm test:watch # Vitest watch mode
pnpm test:e2e # Playwright browser suite
pnpm db:generate # Generate DB migration
pnpm db:migrate # Apply migrations
pnpm test does not run Playwright. Browser suites stay separate and are typically run only when working on those flows or in CI.
See doc/DEVELOPING.md for the full development guide.
Roadmap
- ✅ Plugin system (e.g. add a knowledge base, custom tracing, queues, etc)
- ✅ Get OpenClaw / claw-style agent employees
- ✅ companies.sh - import and export entire organizations
- ✅ Easy AGENTS.md configurations
- ✅ Skills Manager, Skill Studio & Skills Store
- ✅ Scheduled Routines
- ✅ Better Budgeting
- ✅ Agent Reviews and Approvals
- ✅ Multiple Human Users
- ✅ Cloud / Sandbox agents (e2b, Cloudflare, Daytona, Modal, Novita, self-hosted Kubernetes)
- ✅ Artifacts & Work Products
- ✅ Deep Planning (planning mode, revisioned plans, plan approvals)
- ✅ Enforced Outcomes (watchdogs, recovery actions, review gates)
- ✅ MCP Tool Gateway & Apps (governed tool access)
- ✅ Secrets Manager with per-agent access
- ✅ Activity log & action attribution
- ✅ Self-healing runs & automatic recovery
- ✅ Agent evals & feedback
- ⚪ Memory / Knowledge
- ⚪ MAXIMIZER MODE
- ⚪ Work Queues
- ⚪ Self-Organization
- ⚪ Automatic Organizational Learning
- ⚪ CEO Chat
- 🟡 Cloud deployments (multi-tenant isolation & company Import/Export shipped)
- ⚪ Desktop App
- ⚪ Bring-your-own-ticket-system (Asana / Linear / Jira as on-ramps)
- ⚪ Connected Apps (one-click integrations, e.g. Vercel)
This is the short roadmap preview. See the full roadmap in ROADMAP.md.
Community & Plugins
Find Plugins and more at awesome-paperclip
Observability
Paperclip ships with opt-in OpenTelemetry auto-instrumentation for the server (traces only). It activates when OTEL_EXPORTER_OTLP_ENDPOINT is set and supports grpc, http/protobuf, and http/json via the standard OTEL_EXPORTER_OTLP_PROTOCOL env var. @opentelemetry/api is a normal server dependency; the SDK, auto-instrumentation, and exporter packages are optional peer dependencies — install them only if you want tracing. See doc/observability.md for install commands and the full env-var reference.
Paperclip also ships with opt-in Sentry error monitoring for the server and the browser. Set SENTRY_DSN_FRONTEND to activate it for the browser and SENTRY_DSN_BACKEND to activate it for the server — each variable is optional, and the legacy SENTRY_DSN variable still works as a fallback for either component. The supported server SDK version is @sentry/node@10.71.0; it is an optional peer dependency for the server, so install it only if you want error monitoring. The browser SDK, @sentry/browser, is pinned to the same exact version. See doc/observability.md for the install command, the privacy settings, and the full default capture set.
Telemetry
Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.
Contributors changing emitted telemetry events should follow the Telemetry Data Contract. For proposed first-party events that are not in the generated contract yet, follow Telemetry Workflow.
Telemetry is enabled by default and can be disabled with any of the following:
| Method | How |
|---|---|
| Environment variable | PAPERCLIP_TELEMETRY_DISABLED=1 |
| Standard convention | DO_NOT_TRACK=1 |
| CI environments | Automatically disabled when CI=true |
| Config file | Set telemetry.enabled: false in your Paperclip config |
Contributing
We welcome contributions. See the contributing guide for details.
Community
- Discord — Join the community
- Twitter / X — Follow updates and announcements
- GitHub Issues — bugs and feature requests
- GitHub Discussions — ideas and RFC
License
MIT © 2026 Paperclip Labs, Inc
Star History
Open source under MIT. Built for people who want to get work done, not babysit agents.
