Open Lovable vs OpenHands
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
Chat with an AI to build and recreate React apps, with a Firecrawl-made example app.
Open source · MIT
A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud.
The short answer
Choose Open Lovable if you need…
- Developers who want a self-hosted example of an AI app builder
- Developers exploring how Firecrawl and an LLM can be combined
- People who already have API keys for one of the supported AI providers
- Designers who want a quick React starting point from a website they like
Choose OpenHands if you need…
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Side-by-side
| Open Lovable | OpenHands | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 28.8k | 92.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Install with a package manager |
| Main language | TypeScript | TypeScript |
| Last code update | 28 days ago | 4 days ago |
What each one is
Open Lovable
Open Lovable is a web app where you chat with an AI model to build React apps. It is described as an example app from the Firecrawl team, and the project description says it can clone and recreate a website as a modern React app. The README is short and does not fully explain how the cloning works beyond the setup steps.
OpenHands
Agent Canvas is a self-hosted control center for AI coding agents. You start conversations with agents and set up automations, such as generating reports that publish to Slack or breaking GitHub issues into tasks. It runs on your own machine by default and can also connect to agents running in Docker, on virtual machines, or on OpenHands Cloud or Enterprise infrastructure. It can run the open source OpenHands agent or third-party agents such as Claude Code, Codex, and Gemini CLI.
Best for
Open Lovable
- Developers who want a self-hosted example of an AI app builder
- Developers exploring how Firecrawl and an LLM can be combined
- People who already have API keys for one of the supported AI providers
- Designers who want a quick React starting point from a website they like
OpenHands
- Developers who want coding agents running on a server while their laptop is off
- Teams that want a shared agent server for tasks like code review or dependency updates
- People who want to connect agents to Slack, GitHub, or Linear through automations
- Users who want to choose their own LLM provider
Strengths
Open Lovable
- MIT licensed, so the code can be reused and modified
- Supports several AI providers through environment variables
- Clear setup steps with an example environment file in the README
OpenHands
- Self-hosted, so you control where agents run and where your work is stored
- Supports several agents and backends from one frontend
- Released under the MIT license with a large public community (about 92,000 stars)
Not ideal for
Open Lovable
- Non-developers who want a hosted, no-setup builder: the README points to Lovable.dev for a complete cloud solution
- People without API keys or accounts for Firecrawl, an AI provider, and a sandbox provider, since setup needs several of these
- Teams needing production-ready code: the README does not describe production readiness
OpenHands
- People who need strong isolation by default: the quickstart without a sandbox gives the agent full access to your filesystem
- Non-technical users who are not comfortable with Node.js, npm, Docker, or the command line
- Anyone who needs a fully hosted service with no setup, since the README centers on self-hosting
Trade-offs
Open Lovable
- Requires multiple third-party API keys and accounts to run fully
- The README is brief and does not document architecture, limits, or costs
- Vercel sandbox setup has two authentication methods, which adds configuration decisions
OpenHands
- Running without a sandbox gives the agent full access to your filesystem, so the Docker options need careful setup
- Multiple features depend on configuring backends, LLM keys, and integrations, which takes effort
- The README is truncated and does not fully document security hardening or every integration; see the linked docs
Getting started
Open Lovable
Clone the repository
git clone https://github.com/firecrawl/open-lovable.gitEnter the project folder
cd open-lovableOpenHands
Install globally with npm (no sandbox)
npm install -g @openhands/agent-canvasStart the full local stack
agent-canvasFrequently asked questions
What is the difference between Open Lovable and OpenHands?
Open Lovable: Chat with an AI to build and recreate React apps, with a Firecrawl-made example app. OpenHands: A self-hosted control panel that runs AI coding agents on your machine, in Docker, or in the cloud. Open Lovable suits developers who want a self-hosted example of an ai app builder, while OpenHands suits developers who want coding agents running on a server while their laptop is off.
Are Open Lovable and OpenHands free?
Open Lovable: Free and open source. OpenHands: Free and open source.
Is Open Lovable or OpenHands more popular?
OpenHands has more GitHub stars (92.5k) than Open Lovable (28.8k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Open Lovable and OpenHands?
Other options people compare them with include Bolt.new, One API, LlamaGPT, codex-chatgpt-web, wechat-bot.
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.