Sentient Agent : This AI Agent can DO ANYTHING & CONTROL YOUR BROWSER (Generate Apps, Code, RAG,etc)
TLDRDiscover Sentient Agent, an open-source browser control tool that operates with just three lines of code. It harnesses Chrome Dev mode and can be integrated with OpenAI or local models for tasks like web searches, checking stock prices, and booking flights. This innovative tool offers privacy by avoiding screenshots and uses AI to interact with web elements, promising to streamline complex browser tasks efficiently.
Takeaways
- 😀 The video introduces 'Sentient Agent', an open-source project that can control a web browser with just three lines of code.
- 🔍 It uses Chrome Dev mode for browser control, avoiding the need for screenshots and focusing on page code analysis.
- 💻 To get started, viewers are guided to install Sentient Agent via pip and set up a Chrome Dev instance with specific commands for different operating systems.
- 🔑 The script requires an OpenAI API key for functionality, which the user needs to export before running the script.
- 🛠️ It demonstrates the agent's ability to perform tasks like searching for 'AI Code King' on YouTube and fetching the current stock price of Apple.
- 📈 The video shows how to customize instructions for the agent, such as directly searching through YouTube instead of going through Google search first.
- 🔗 The agent is capable of more complex tasks like searching for the cheapest flights between Chicago and Los Angeles.
- 🌐 The script can be adapted to work with different AI providers, including Together AI and LLM models, showcasing flexibility.
- 📝 The video provides a step-by-step guide on how to configure the script to use different AI models and providers.
- 🎥 The presenter encourages viewers to integrate Sentient Agent into their workflows for dynamic web page tasks and anticipates future support for more browsers.
Q & A
What is Sentient Agent?
-Sentient Agent is an open-source project that allows users to run a browser-controlling agent with just three lines of code.
How does Sentient Agent control the browser?
-Sentient Agent uses Chrome Dev mode to control the browser. It fetches the code of the page and then queries the LLM on what to do next, clicking the elements as needed.
What are the system requirements to run Sentient Agent?
-To run Sentient Agent, you need to run an instance of Chrome Dev based on your operating system and have an open AI API key set up.
Can Sentient Agent work with local models?
-Yes, Sentient Agent can work with local models as well as open-source models, making it flexible for different use cases.
How is privacy handled with Sentient Agent?
-Unlike some other tools that take screenshots, Sentient Agent does not use screenshots, which can be a privacy concern. It operates by fetching and interacting with the page code directly.
What is the process to install and use Sentient Agent?
-First, install Sentient with pip install sentient. Then, run a Chrome Dev instance and set up your open AI API key. After that, run the python script with your task.
Can Sentient Agent be used for complex tasks like finding stock prices?
-Yes, Sentient Agent can be used for complex tasks. The script demonstrates it being used to find the current stock price of Apple, showing its capability to handle such tasks.
How does Sentient Agent handle tasks that require custom instructions?
-Sentient Agent allows for adding custom instructions to the task. For example, if a task involves playing a video on YouTube, you can add a custom instruction to search directly on YouTube.
Can Sentient Agent be integrated with other AI services like Together AI?
-Yes, Sentient Agent can be integrated with other AI services. The script shows how to change the provider to Together AI and use it with different models.
What are some potential use cases for Sentient Agent?
-Sentient Agent can be used for a variety of tasks such as form filling, searching for information, and automating repetitive browser-based tasks.
How does the Sentient Agent compare to other browser automation tools?
-Sentient Agent differentiates itself by being fully automated and not relying on screenshots, which can be slower and pose privacy risks. It also integrates with various AI models for more dynamic task handling.
Outlines
🌐 Introducing Sentient: Browser Automation with AI
The video begins with an introduction to Sentient, an open-source project that enables users to control their browser with just three lines of code. The host explains how Sentient operates differently from OpenAI's interpreter by using Chrome Dev mode to fetch web page code and query an AI model for actions, avoiding the use of screenshots and addressing potential privacy concerns. The setup process is outlined, including installing Sentient, running Chrome Dev, and configuring the OpenAI API key. A demonstration is provided where the host instructs Sentient to search for 'AI code King' on YouTube, showcasing its ability to generate and execute a plan to complete the task.
🔍 Advanced Use Cases and Custom Instructions with Sentient
This paragraph delves into more complex tasks that Sentient can perform, such as searching for the current stock price of Apple. The host also discusses the ability to add custom instructions to streamline tasks, like directly searching through YouTube instead of going through Google search. Examples of use cases include form filling and similar repetitive tasks. The video then demonstrates how to use Sentient to find the cheapest flights between Chicago and Los Angeles, emphasizing the tool's potential for practical applications in various scenarios.
🤖 Integrating Sentient with Together AI and LLM
The final paragraph focuses on integrating Sentient with other AI platforms like Together AI and LLM. The host guides viewers through the process of signing up for Together AI, obtaining an API key, and modifying the script to use the platform. A simple task of searching for the host's channel on Google is demonstrated. The video also covers how to use Sentient with a local model, specifically LLM, by installing the model, configuring the script, and running the script to perform a search on YouTube. The host concludes by expressing optimism about the potential integration with Google's AI and encourages viewers to share their thoughts, support the channel, and look forward to future videos.
Mindmap
Keywords
💡Sentient Agent
💡Open Interpreter
💡OS Mode
💡Chrome Dev Mode
💡API Key
💡Local Models
💡Together AI
💡Alama
💡Task
💡Custom Instructions
💡Form Filling
Highlights
Sentient Agent is an open-source project that can control your entire browser with just three lines of code.
It uses Chrome Dev mode to operate without the need for screenshots, ensuring privacy.
The agent fetches the page code and queries the LLM to decide the next actions, automating tasks similar to Selenium.
Sentient Agent works with local models and OpenAI, offering flexibility in AI model usage.
Installation of Sentient Agent is straightforward, requiring only 'pip install sentient'.
A Chrome Dev instance must be running to use Sentient Agent, with specific commands based on the operating system.
The agent can perform tasks like searching for 'AI code King' on YouTube, showcasing its capability.
It can also fetch complex information, such as the current stock price of Apple, with high accuracy.
Custom instructions can be added for more specific tasks, like directly searching through YouTube.
The agent can handle complex tasks like searching for the cheapest flights between two cities.
Integration with Together AI and Alama is possible, expanding the range of AI models that can be used.
Using Alama requires downloading the model and configuring the script to use it as the AI provider.
The agent's ability to navigate to YouTube and search for specific channels demonstrates its practical utility.
Sentient Agent has potential for integration into workflows for dynamic web page tasks, increasing efficiency.
The video creator anticipates future support for Google Chrome, which could significantly improve performance.
