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https://github.com/nottelabs/notte

The full stack agentic internet
https://github.com/nottelabs/notte

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The full stack agentic internet

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README 

          
# Rapidly build reliable web automation agents





  


    The web agent framework built for speed, cost-efficiency, scale, and reliability 


    → Read more at: open-operator-evals • X • LinkedIn • Landing • Console

  







  Notte Logo




[![GitHub stars](https://img.shields.io/github/stars/nottelabs/notte?style=social)](https://github.com/nottelabs/notte/stargazers)

[![License: SSPL-1.0](https://img.shields.io/badge/License-SSPL%201.0-blue.svg)](https://spdx.org/licenses/SSPL-1.0.html)

[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)

[![PyPI version](https://img.shields.io/pypi/v/notte?color=blue)](https://pypi.org/project/notte/)

[![PyPI Downloads](https://static.pepy.tech/badge/notte?color=blue)](https://pepy.tech/projects/notte)



---



# What is Notte?



Notte provides all the essential tools for building and deploying AI agents that interact seamlessly with the web. Our full-stack framework combines AI agents with traditional scripting for maximum efficiency - letting you script deterministic parts and use AI only when needed, cutting costs by 50%+ while improving reliability. We allow you to develop, deploy, and scale your own agents and web automations, all with a single API. Read more in our documentation [here](https://docs.notte.cc) 🔥



**Opensource Core:**

- **[Run web agents](#using-python-sdk-recommended)** → Give AI agents natural language tasks to complete on websites

- **[Structured Output](#structured-output)** → Get data in your exact format with Pydantic models

- **[Site Interactions](#scraping)** → Observe website states, scrape data and execute actions using Playwright compatible primitives and natural language commands



**API service (Recommended)**

- **[Stealth Browser Sessions](#session-features)** → Browser instances with built-in CAPTCHA solving, proxies, and anti-detection

- **[Hybrid Workflows](#workflows)** → Combine scripting and AI agents to reduce costs and improve reliability

- **[Secrets Vaults](#agent-vault)** → Enterprise-grade credential management to store emails, passwords, MFA tokens, SSO, etc.

- **[Digital Personas](#agent-persona)** → Create digital identities with unique emails, phones, and automated 2FA for account creation workflows



# Quickstart



```

pip install notte

patchright install --with-deps chromium

```



### Run in local mode



Use the following script to spinup an agent using opensource features (you'll need your own LLM API keys):



```python

import notte

from dotenv import load_dotenv

load_dotenv()



with notte.Session(headless=False) as session:

    agent = notte.Agent(session=session, reasoning_model='gemini/gemini-2.5-flash', max_steps=30)

    response = agent.run(task="doom scroll cat memes on google images")

```



### Using Python SDK (Recommended)



We also provide an effortless API that hosts the browser sessions for you - and provide plenty of premium features. To run the agent you'll need to first sign up on the [Notte Console](https://console.notte.cc) and create a free Notte API key 🔑



```python

from notte_sdk import NotteClient

import os



client = NotteClient(api_key=os.getenv("NOTTE_API_KEY"))



with client.Session(open_viewer=True) as session:

    agent = client.Agent(session=session, reasoning_model='gemini/gemini-2.5-flash', max_steps=30)

    response = agent.run(task="doom scroll cat memes on google images")

```



Our setup allows you to experiment locally, then drop-in replace the import and prefix `notte` objects with `cli` to switch to SDK and get hosted browser sessions plus access to premium features!



# Benchmarks



| Rank | Provider                                                    | Agent Self-Report | LLM Evaluation | Time per Task | Task Reliability |

| ---- | ----------------------------------------------------------- | ----------------- | -------------- | ------------- | ---------------- |

| 🏆   | [Notte](https://github.com/nottelabs/notte)                 | **86.2%**         | **79.0%**      | **47s**       | **96.6%**        |

| 2️⃣   | [Browser-Use](https://github.com/browser-use/browser-use)   | 77.3%             | 60.2%          | 113s          | 83.3%            |

| 3️⃣   | [Convergence](https://github.com/convergence-ai/proxy-lite) | 38.4%             | 31.4%          | 83s           | 50%              |



Read the full story here: [https://github.com/nottelabs/open-operator-evals](https://github.com/nottelabs/open-operator-evals)



# Agent features



## Structured output



Structured output is a feature of the agent's run function that allows you to specify a Pydantic model as the `response_format` parameter. The agent will return data in the specified structure.



```python

from notte_sdk import NotteClient

from pydantic import BaseModel



class HackerNewsPost(BaseModel):

    title: str

    url: str

    points: int

    author: str

    comments_count: int



class TopPosts(BaseModel):

    posts: list[HackerNewsPost]



client = NotteClient()

with client.Session(open_viewer=True, browser_type="firefox") as session:

    agent = client.Agent(session=session, reasoning_model='gemini/gemini-2.5-flash', max_steps=15)

    response = agent.run(

        task="Go to Hacker News (news.ycombinator.com) and extract the top 5 posts with their titles, URLs, points, authors, and comment counts.",

        response_format=TopPosts,

    )

print(response.answer)

```



## Agent vault

Vaults are tools you can attach to your Agent instance to securely store and manage credentials. The agent automatically uses these credentials when needed.



```python

from notte_sdk import NotteClient



client = NotteClient()



with client.Vault() as vault, client.Session(open_viewer=True) as session:

    vault.add_credentials(

        url="https://x.com",

        username="your-email",

        password="your-password",

    )

    agent = client.Agent(session=session, vault=vault, max_steps=10)

    response = agent.run(

      task="go to twitter; login and go to my messages",

    )

print(response.answer)

```



## Agent persona



Personas are tools you can attach to your Agent instance to provide digital identities with unique email addresses, phone numbers, and automated 2FA handling.



```python

from notte_sdk import NotteClient



client = NotteClient()



with client.Persona(create_phone_number=False) as persona:

    with client.Session(browser_type="firefox", open_viewer=True) as session:

        agent = client.Agent(session=session, persona=persona, max_steps=15)

        response = agent.run(

            task="Open the Google form and RSVP yes with your name",

            url="https://forms.google.com/your-form-url",

        )

print(response.answer)

```



# Session features



## Stealth



Stealth features include automatic CAPTCHA solving and proxy configuration to enhance automation reliability and anonymity.



```python

from notte_sdk import NotteClient

from notte_sdk.types import NotteProxy, ExternalProxy



client = NotteClient()



# Built-in proxies with CAPTCHA solving

with client.Session(

    solve_captchas=True,

    proxies=True,  # US-based proxy

    browser_type="firefox",

    open_viewer=True

) as session:

    agent = client.Agent(session=session, max_steps=5)

    response = agent.run(

        task="Try to solve the CAPTCHA using internal tools",

        url="https://www.google.com/recaptcha/api2/demo"

    )



# Custom proxy configuration

proxy_settings = ExternalProxy(

    server="http://your-proxy-server:port",

    username="your-username",

    password="your-password",

)



with client.Session(proxies=[proxy_settings]) as session:

    agent = client.Agent(session=session, max_steps=5)

    response = agent.run(task="Navigate to a website")

```



## File download / upload



File Storage allows you to upload files to a session and download files that agents retrieve during their work. Files are session-scoped and persist beyond the session lifecycle.



```python

from notte_sdk import NotteClient



client = NotteClient()

storage = client.FileStorage()



# Upload files before agent execution

storage.upload("/path/to/document.pdf")



# Create session with storage attached

with client.Session(storage=storage) as session:

    agent = client.Agent(session=session, max_steps=5)

    response = agent.run(

        task="Upload the PDF document to the website and download the cat picture",

        url="https://example.com/upload"

    )



# Download files that the agent downloaded

downloaded_files = storage.list(type="downloads")

for file_name in downloaded_files:

    storage.download(file_name=file_name, local_dir="./results")

```



## Cookies / Auth Sessions



Cookies provide a flexible way to authenticate your sessions. While we recommend using the secure vault for credential management, cookies offer an alternative approach for certain use cases.



```python

from notte_sdk import NotteClient

import json



client = NotteClient()



# Upload cookies for authentication

cookies = [

    {

        "name": "sb-db-auth-token",

        "value": "base64-cookie-value",

        "domain": "github.com",

        "path": "/",

        "expires": 9778363203.913704,

        "httpOnly": False,

        "secure": False,

        "sameSite": "Lax"

    }

]



with client.Session() as session:

    session.set_cookies(cookies=cookies)  # or cookie_file="path/to/cookies.json"

    

    agent = client.Agent(session=session, max_steps=5)

    response = agent.run(

        task="go to nottelabs/notte get repo info",

    )

    

    # Get cookies from the session

    cookies_resp = session.get_cookies()

    with open("cookies.json", "w") as f:

        json.dump(cookies_resp, f)

```



## CDP Browser compatibility



You can plug in any browser session provider you want and use our agent on top. Use external headless browser providers via CDP to benefit from Notte's agentic capabilities with any CDP-compatible browser.



```python

from notte_sdk import NotteClient



client = NotteClient()

cdp_url = "wss://your-external-cdp-url"



with client.Session(cdp_url=cdp_url) as session:

    agent = client.Agent(session=session)

    response = agent.run(task="extract pricing plans from https://www.notte.cc/")

```



# Workflows



Notte's close compatibility with Playwright allows you to mix web automation primitives with agents for specific parts that require reasoning and adaptability. This hybrid approach cuts LLM costs and is much faster by using scripting for deterministic parts and agents only when needed.



```python

from notte_sdk import NotteClient



client = NotteClient()



with client.Session(open_viewer=True, perception_type="fast") as session:

    # Script execution for deterministic navigation

    session.execute(type="goto", url="https://www.quince.com/women/organic-stretch-cotton-chino-short")

    session.observe()



    # Agent for reasoning-based selection

    agent = client.Agent(session=session)

    agent.run(task="just select the ivory color in size 6 option")



    # Script execution for deterministic actions

    session.execute(type="click", selector="internal:role=button[name=\"ADD TO CART\"i]")

    session.execute(type="click", selector="internal:role=button[name=\"CHECKOUT\"i]")

```



# Agent fallback for Workflows



Workflows are a powerful way to combine scripting and agents to reduce costs and improve reliability. However, deterministic parts of the workflow can still fail. To gracefully handle these failures with agents, you can use the `AgentFallback` class: 



```python

import notte



with notte.Session() as session:

    _ = session.execute(type="goto", url="https://shop.notte.cc/")

    _ = session.observe()



    with notte.AgentFallback(session, "Go to cart"):

        # Force execution failure -> trigger an agent fallback to gracefully fix the issue

        res = session.execute(type="click", id="INVALID_ACTION_ID")

```



# Scraping



For fast data extraction, we provide a dedicated scraping endpoint that automatically creates and manages sessions. You can pass custom instructions for structured outputs and enable stealth mode.



```python

from notte_sdk import NotteClient

from pydantic import BaseModel



client = NotteClient()



# Simple scraping

response = client.scrape(

    url="https://notte.cc",

    scrape_links=True,

    only_main_content=True

)



# Structured scraping with custom instructions

class Article(BaseModel):

    title: str

    content: str

    date: str



response = client.scrape(

    url="https://example.com/blog",

    response_format=Article,

    instructions="Extract only the title, date and content of the articles"

)

```



Or directly with cURL

```bash

curl -X POST 'https://api.notte.cc/scrape' \

  -H 'Authorization: Bearer ' \

  -H 'Content-Type: application/json' \

  -d '{

    "url": "https://notte.cc",

    "only_main_content": false,

  }'

```



**Search:** We've built a cool demo of an LLM leveraging the scraping endpoint in an MCP server to make real-time search in an LLM chatbot - works like a charm! Available here: [https://search.notte.cc/](https://search.notte.cc/)



# License



This project is licensed under the Server Side Public License v1.

See the [LICENSE](LICENSE) file for details.



# Citation



If you use notte in your research or project, please cite:



```bibtex

@software{notte2025,

  author = {Pinto, Andrea and Giordano, Lucas and {nottelabs-team}},

  title = {Notte: Software suite for internet-native agentic systems},

  url = {https://github.com/nottelabs/notte},

  year = {2025},

  publisher = {GitHub},

  license = {SSPL-1.0}

  version = {1.4.4},

}

```



Copyright © 2025 Notte Labs, Inc.