NARADA AI Logo.

Computer Use for Agentic Process Automation!

The official Narada Python SDK that helps you launch browsers and run tasks with Narada UI agents.

Installation

pip install narada

Quick Start

Important: The first time Narada opens the automated browser, you will need to manually install the Narada Enterprise extension and log in to your Narada account.

After installation and login, create a Narada API Key (see this link for instructions) and set the following environment variable:

export NARADA_API_KEY=<YOUR KEY>

That's it. Now you can run the following code to create a browser environment and ask an agent to download a file for you from arxiv:

import asyncio

from narada import Agent, AgentKind, BrowserEnvironment


async def main() -> None:
    # Create the browser environment. It initializes lazily on the first action.
    env = BrowserEnvironment()
    agent = Agent(environment=env)
    mini_agent = Agent(environment=env, kind=AgentKind.OPERATOR_MINI)

    try:
        # Run a task in this browser environment.
        response = await agent.run(
            prompt='Search for "LLM Compiler" on Google and open the first arXiv paper on the results page, then open the PDF. Then download the PDF of the paper.',
            # Optionally generate a GIF of the agent's actions.
            generate_gif=True,
        )

        print("Response:", response.model_dump_json(indent=2))

        # Use the product's lower-cost tier when appropriate.
        mini_response = await mini_agent.run(prompt="Summarize the completed task.")
        print("Mini response:", mini_response.model_dump_json(indent=2))
    finally:
        await env.close()


if __name__ == "__main__":
    asyncio.run(main())

AgentKind.OPERATOR_MINI selects the lower-cost Operator Mini product agent. Named Agent Studio workflows continue to use their persisted Agent steps.

This would then result in the following trajectory:

You can use the SDK to launch browsers and run automated tasks using natural language instructions. For more examples and code samples, please explore the examples/ folder in this repository.

Migration note

This version introduces a non-backward-compatible, agent-centered API:

Create an execution target with an environment, such as BrowserEnvironment, CloudBrowserEnvironment, RemoteBrowserEnvironment, or LambdaEnvironment.
Create an Agent(environment=env, kind=...) and call await agent.run(prompt=...).
Browser actions such as go_to_url, agentic_selector, and sheet operations are now methods on Agent.
Environments keep lifecycle/bookkeeping APIs such as start(), close(), browser_window_id, and cloud_browser_session_id.

Features

Natural Language Control: Send instructions in plain English to control browser actions
Parallel Execution: Run multiple browser tasks simultaneously across different windows
Error Handling: Built-in timeout handling and retry mechanisms
Action Recording: Generate GIFs of agent actions for debugging and documentation
Async Support: Full async/await support for efficient operations

Key Capabilities

Web Search & Navigation: Automatically search, click links, and navigate websites
Data Extraction: Extract information from web pages using AI understanding
Form Interaction: Fill out forms and interact with web elements
File Operations: Download files and handle web-based documents
Multi-window Management: Coordinate tasks across multiple browser instances

License

This project is licensed under the Apache 2.0 License.

Support

For questions, issues, or support, please contact: support@narada.ai

Citation

We appreciate it if you could cite Narada if you found it useful for your project.

@software{narada_ai2025,
  author = {Narada AI},
  title = {Narada AI: Agentic Process Automation for Enterprise},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/NaradaAI/narada-python-sdk}
}

Made with ❤️ in Berkeley, CA.

Metadata

Release files for narada 0.2.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for narada 0.2.10
File	Size	Uploaded
narada-0.2.10.tar.gz	47.8 kB	Aug 17, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for narada 0.2.10
File	Interpreter	ABI	Platform	Reset
narada-0.2.10-py3-none-any.whl 32.0 kB Aug 17, 2026	Python 3	none	any	Details

Total release size: 79.8 kB

Release files / narada-0.2.10.tar.gz

Download URL	narada-0.2.10.tar.gz
Size	47.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`56e935061b6eced1584b12401c9d86cf507ef3af97829dedc1cf8f3aefe77923`
BLAKE2b-256 checksum How to use checksums	`492aa0ab05237fe283e74293fad3696e66999cfee41a653b3e525df898aeacb4`
Upload date	Aug 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`

Release files / narada-0.2.10-py3-none-any.whl

Download URL	narada-0.2.10-py3-none-any.whl
Size	32.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cdcc9f8d2e5b1c1efe0aa9eddb1eca8ac540aea68a772c51035364c6ac9c1b20`
BLAKE2b-256 checksum How to use checksums	`c06fa6744afe86a36b9648d43278f7325d3cda4f6a476b1accc4ddfa9ee55512`
Upload date	Aug 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`