Leon vs OpenClaw
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
Open-source personal AI assistant that can run tools, keep memory, and work locally.
Open source · MIT
Self-hosted AI assistant that runs on your own devices and talks to you in your chat apps.
The short answer
Choose Leon if you need…
- Developers who want to inspect or extend an open-source assistant
- People who want an assistant that can run locally for privacy reasons
- Contributors interested in the 2.0 Developer Preview architecture
- Users comfortable with a preview that may change between versions
Choose OpenClaw if you need…
- People who want an AI assistant that runs on their own machine rather than a hosted service
- Developers comfortable with Node.js and command-line setup
- Teams that want a shared Gateway deployment, per the README's team deployment option
- Users who want to talk to an assistant through existing messaging apps
Side-by-side
| Leon | OpenClaw | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 17.6k | 394k |
| 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 | 4 days ago | 4 days ago |
What each one is
Leon
Leon is an open-source personal AI assistant that runs on your own computer and can use tools to carry out tasks rather than only replying with text. The README describes it as built around tools, context, memory, and agentic execution, with support for local and remote AI providers. The project is currently focused on a 2.0 Developer Preview on the develop branch, and the README notes that new documentation is not ready yet.
OpenClaw
OpenClaw is an open-source AI assistant that runs on your own computer and connects to chat services you already use, such as Telegram, Slack, Discord, WhatsApp, and iMessage. A central Gateway process handles sessions, tools, and channel connections, and you can pick which model provider or agent harness it uses. People use it to have a personal assistant that keeps its state, memory, and credentials on their own hardware.
Best for
Leon
- Developers who want to inspect or extend an open-source assistant
- People who want an assistant that can run locally for privacy reasons
- Contributors interested in the 2.0 Developer Preview architecture
- Users comfortable with a preview that may change between versions
OpenClaw
- People who want an AI assistant that runs on their own machine rather than a hosted service
- Developers comfortable with Node.js and command-line setup
- Teams that want a shared Gateway deployment, per the README's team deployment option
- Users who want to talk to an assistant through existing messaging apps
Strengths
Leon
- Open source under the MIT license, so the code can be inspected and modified
- Supports local AI models as well as remote providers, per the README
- Organized around explicit tools and layered memory rather than free-form guessing alone
OpenClaw
- Runs locally, with state, memory, and credentials stored on your own hardware per the README
- Supports many messaging channels and native apps for macOS, iOS, Android, Windows, and Linux
- MIT licensed with no paid tier or hosted service mentioned in the README
Not ideal for
Leon
- People who want a polished, stable assistant out of the box: the README says the 2.0 docs are not ready and the legacy master branch is the more stable version
- Non-technical users who need a simple download-and-use app: setup requires Node.js and pnpm from the command line
- Anyone needing finished, complete documentation: the README says the public docs site may lag behind the new core
OpenClaw
- People who want a no-setup hosted service: the README says there is no hosted tier, so you run it yourself
- Anyone who cannot safely lock down inbound messages: the README says tools run on the host by default unless sandboxing is configured
- Users who need to expose the Gateway to others without reading the security guide first
Trade-offs
Leon
- The README states this is a developer preview in transition, so behavior and docs may change
- Contribution is currently limited to progressively onboarded contributors, and development is largely done in spare time
- Setup requires a command-line workflow and Node.js 24 or newer
OpenClaw
- Tools run on the host for the main session unless you configure sandboxing, which carries security risk
- Setup involves a Gateway, channels, and model configuration, so it is not a single click for newcomers
- The README is truncated, so some details on specific features and limits are unclear
Getting started
Leon
Clone the repository
git clone https://github.com/leon-ai/leon.gitGo to the project root
cd leonOpenClaw
Install via npm (if you already manage Node.js)
npm install -g openclaw@latest --allow-scripts=openclawRun onboarding after a direct npm, pnpm, or Bun install
openclaw onboard --install-daemonFrequently asked questions
What is the difference between Leon and OpenClaw?
Leon: Open-source personal AI assistant that can run tools, keep memory, and work locally. OpenClaw: Self-hosted AI assistant that runs on your own devices and talks to you in your chat apps. Leon suits developers who want to inspect or extend an open-source assistant, while OpenClaw suits people who want an ai assistant that runs on their own machine rather than a hosted service.
Are Leon and OpenClaw free?
Leon: Free and open source. OpenClaw: Free and open source.
Is Leon or OpenClaw more popular?
OpenClaw has more GitHub stars (394k) than Leon (17.6k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Leon and OpenClaw?
Other options people compare them with include OpenWhispr, CARLA, CowAgent, Memos.
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.