Happy vs Paperclip
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A multi-model coding agent app that runs Claude, Codex and Grok, with a phone companion, using your existing s
Open source · MIT
Open-source Node.js and React app for organizing teams of AI agents around goals, tasks, and budgets.
The short answer
Choose Happy if you need…
- Developers who already pay for Claude, Codex or Grok subscriptions and want one interface for them
- People who want to check on a running coding agent from their phone
- Small teams who want to watch and steer the same agent session together
- Users who want an MIT-licensed codebase they can read or fork
Choose Paperclip if you need…
- Developers already running several AI coding agents who want one place to track them
- Small teams experimenting with autonomous agents that need budgets and approval steps
- People who want an audit trail of what each agent did and why
- Anyone comfortable self-hosting a Node.js app
Side-by-side
| Happy | Paperclip | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 24.4k | 110k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | Install with a package manager | Clone and build from source |
| Main language | Swift | TypeScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
Happy
Happy is an open-source (MIT) app that lets you run AI coding agents such as Claude Code, Codex and Grok from one place, and watch or steer them from a phone. According to its README, you sign in with the subscriptions you already pay for rather than buying new access. The README also describes a simple terminal CLI (npm install -g happy) that wraps Claude Code and Codex and can continue sessions on your phone.
Paperclip
Paperclip is a Node.js server with a React dashboard that coordinates a team of AI agents to work toward business goals. You bring your own agents, assign goals, and track work and costs in one place. The README says it looks like a task manager but adds org charts, budgets, governance, and agent coordination underneath.
Best for
Happy
- Developers who already pay for Claude, Codex or Grok subscriptions and want one interface for them
- People who want to check on a running coding agent from their phone
- Small teams who want to watch and steer the same agent session together
- Users who want an MIT-licensed codebase they can read or fork
Paperclip
- Developers already running several AI coding agents who want one place to track them
- Small teams experimenting with autonomous agents that need budgets and approval steps
- People who want an audit trail of what each agent did and why
- Anyone comfortable self-hosting a Node.js app
Strengths
Happy
- Free and MIT-licensed, with the source code available on GitHub
- Reuses existing Claude, Codex and Grok subscriptions rather than adding a separate bill, per the README
- Projects remain ordinary folders on your own machine, as the README describes
Paperclip
- Works with many agent runtimes named in the README, including Claude Code, Codex, Cursor, and Gemini CLI
- Tracks tasks, costs, permissions, and run history in one dashboard
- MIT licensed and actively maintained, with a recent push in the repository metadata
Not ideal for
Happy
- People who need a fully audited, production-grade security tool: the README does not describe a security review and says little about threat models beyond end-to-end encryption of device sync
- Users who only want a single model and a simple terminal command: the original CLI covers that more directly, and the multi-model features point to the desktop app and Happy Harness
- People without any existing agent subscription or API access, since the README centers on reusing those logins
Paperclip
- People who want a finished hosted product with no setup; the README points to a Paperclip Cloud waitlist rather than a live service
- Users who need a simple single-agent chat tool, since this is built for coordinating multiple agents
- Teams without a plan for reviewing agent output, because the README stresses verification and oversight
Trade-offs
Happy
- The README is truncated and the multi-model features are described mainly at a high level, so exact behavior is unclear
- The repository covers only the mobile app, original CLI and relay server; the desktop app and agent runtime live in separate repositories
- The latest release tag listed here (cli-1.2.5) has no binaries attached, so installation relies on npm or building from source
Paperclip
- The README is truncated and mostly marketing-oriented, so setup details are unclear from this text alone
- Many described features, like Cloud, SSO, and phone management, may depend on hosted or paid offerings not verified here
- Coordinating autonomous agents adds risk and requires careful permission and budget setup
Getting started
Paperclip
Clone the repository
git clone https://github.com/paperclipai/paperclip.gitFrequently asked questions
What is the difference between Happy and Paperclip?
Happy: A multi-model coding agent app that runs Claude, Codex and Grok, with a phone companion, using your existing s. Paperclip: Open-source Node.js and React app for organizing teams of AI agents around goals, tasks, and budgets. Happy suits developers who already pay for claude, codex or grok subscriptions and want one interface for them, while Paperclip suits developers already running several ai coding agents who want one place to track them.
Are Happy and Paperclip free?
Happy: Free and open source. Paperclip: Free and open source.
Which is easier to set up, Happy or Paperclip?
Happy is easier to get started with (rated intermediate); Paperclip is rated advanced and usually needs more setup.
Is Happy or Paperclip more popular?
Paperclip has more GitHub stars (110k) than Happy (24.4k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Happy and Paperclip?
Other options people compare them with include OpenHands, Claudian, Orca, OmniRoute, CRS.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.