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Install
pip install skyvernSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Automate browser based workflows with AI
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 15, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 15, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 15, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
### Option A: pip install (Recommended for Python-managed local setup)Source link
Source: README excerpt (regex_v1, Jul 15, 2026)
- VS Code with C++ dev tools and Windows SDKSource link
Tags
README
Option A: pip install (Recommended for Python-managed local setup)
Dependencies needed:
Additionally, for Windows:
- Rust
- VS Code with C++ dev tools and Windows SDK
1. Install Skyvern
pip install "skyvern[all]"
2. Run Skyvern
skyvern quickstart
The pip quickstart uses SQLite by default. For a local Postgres container, run skyvern quickstart --postgres.
Option B: Docker Compose
Use this option if you want everything containerized (Postgres, API, UI) and don't want to install Python/Node locally.
- Install Docker Desktop
- Clone the repository:
git clone https://github.com/skyvern-ai/skyvern.git && cd skyvern - Configure your LLM provider in
.env(thequickstart --docker-composecommand below will create it from.env.exampleif missing):cp .env.example .env # if not already created # edit .env to add your LLM API key - Start everything:
docker compose up -d - Open http://localhost:8080
Quick Start Examples
Run via UI:
skyvern run all
Navigate to http://localhost:8080 to run tasks through the web interface. If the packaged UI is missing, skyvern run ui will offer to install the matching UI package. For non-interactive setup, use skyvern run ui --install-ui or skyvern run all --install-ui.
To run only the packaged UI against an existing Skyvern API, install skyvern[ui] and pass
--api-url; the CLI infers --wss-url from the API URL unless you override it. You can also set
VITE_API_BASE_URL, VITE_WSS_BASE_URL, VITE_ARTIFACT_API_BASE_URL, VITE_SKYVERN_API_KEY,
and VITE_BROWSER_STREAMING_MODE before running skyvern run ui.
Python SDK:
from skyvern import Skyvern
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# License
Skyvern's open source repository is supported via a managed cloud. All of the core logic powering Skyvern is available in this open source repository licensed under the [AGPL-3.0 License](LICENSE), with the exception of anti-bot measures available in our managed cloud offering.
If you have any questions or concerns around licensing, please [contact us](mailto:support@skyvern.com) and we would be happy to help.
For agents
This page has a .md twin and JSON over the API.