Notte
VerifiedOpen-source framework for fast, reliable web automation agents.
What is Notte?
Notte is a full-stack framework designed to create and scale AI agents that perform actions on websites. It blends deterministic scripts with AI reasoning to handle repetitive or variable web tasks while keeping costs low and reliability high.
The system works by letting developers script fixed steps and invoke AI only for dynamic parts. It provides Python SDK access for local runs with user-provided LLMs or switches to a managed service offering browser sessions, credential storage, and anti-detection tools.
It targets developers and teams building web automations who need both flexibility and production-grade performance without managing every browser detail themselves.
What you can build with Notte
Web data extraction
Define Pydantic models to pull structured information from sites using natural language commands or direct browser actions.
Account workflows
Create and manage digital identities with automated email, phone, and 2FA handling for registration flows.
Hybrid task automation
Script predictable sequences while delegating complex navigation or decision points to AI agents for better efficiency.
Install Notte
pip install nottepip install notte
patchright install --with-deps chromium- 1Install the package with pip install notte and run patchright install for browser dependencies.
- 2Set up environment variables for your chosen LLM provider.
- 3Create a session and initialize an agent with your preferred model and step limit.
- 4Call the run method with a natural language task description.
- 5Switch to the SDK client for hosted sessions and premium capabilities by changing the import.
Notte: pros & cons
Pros
- +Strong benchmark results on reliability and speed compared to similar tools.
- +Hybrid scripting plus AI approach reduces unnecessary LLM calls.
- +Consistent API between local and hosted modes simplifies development.
- +Built-in support for structured outputs and stealth browser features.
Cons
- –Local mode requires separate LLM API keys and browser setup.
- –Advanced features like credential vaults are limited to the paid API service.
- –Performance depends on the quality of the chosen reasoning model.
Frequently asked questions
Yes, the open-source core runs locally once you provide your own LLM credentials.
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