AgentGPT browser setup and deployment are pretty straightforward. Here’s a compiled list of steps for you to go through in the process of establishing your very own customizable autonomous AI agent on the web – GPT Agent.
With a browser version of AgentGPT, you can effortlessly create your own AI agent by assigning it a name and specific goal to complete. Once set up, observe your AI agent as it embarks on a thrilling quest to achieve the designated objective. You can also create multiple AI agents and get them to do your tasks for you.
In the next paragraph, before we dig into how to use AgentGPT in your browser, we will talk about 3 pre-set AgentGPT modes and how you can use them to enhance your life.
3 Preset modes of AgentGPT – PlatformerGPT, TravelGPT and ResearchGPT (AgentGPT Browser Deploy)
Table of Contents
- 1 3 Preset modes of AgentGPT – PlatformerGPT, TravelGPT and ResearchGPT (AgentGPT Browser Deploy)
- 1.1 PlatformerGPT (AgentGPT mode 1)
- 1.2 TravelGPT – Second powerful AgentGPT mode
- 1.3 ResearchGPT – Third research-oriented AgentGPT mode
- 2 How to Use AgentGPT from Your Browser (AgentGPT Browser Deploy)
- 2.1 Step 1. Create your AgentGPT account
- 2.2 Step 2. Create your first AgentGPT AI agent
- 2.3 Deploying your browser AgentGPT Goal
- 2.4 Observe your AgentGPT Reasoning
- 2.5 Save or Export your AgentGPT outputs
- 2.6 Browser AgentGPT Settings (for a successful AgentGPT Browser Deploy)
- 3 AgentGPT Web Search Feature also available in AgentGPT Browser Deploy Version
- 4 Web AgentGPT Pause Feature
- 5 Stay tuned for more updates about the AgentGPT Browser version
- 5.1 1. What is AgentGPT Browser Deploy?
- 5.2 2. How can I create an AI agent in my browser with AgentGPT?
- 5.3 3. What are the 3 preset AgentGPT modes?
- 5.4 4. What is PlatformerGPT?
- 5.5 5. What is TravelGPT?
- 5.6 6. What is ResearchGPT?
- 5.7 7. How can I use these preset modes?
- 5.8 8. What are the advantages of deploying AgentGPT in the browser?
- 5.9 9. Where can I access these preset AgentGPT modes?
- 5.10 10. Can I customize AgentGPT preset modes?
- 5.11 11. What is PlatformerGPT?
- 5.12 12. How does PlatformerGPT work?
- 5.13 13. What is TravelGPT?
- 5.14 14. How does TravelGPT work?
- 5.15 15. What is ResearchGPT?
- 5.16 16. How does ResearchGPT work?
- 5.17 17. How user-friendly are these AgentGPT modes?
- 5.18 18. What is AgentGPT and how can I use it in my browser?
- 5.19 19. How do I create an AgentGPT account?
- 5.20 20. How can I create my first AgentGPT AI agent?
- 5.21 21. How do I define a goal for my AI Agent?
- 5.22 22. How can I monitor my AgentGPT’s performance?
- 5.23 23. How does AgentGPT solve tasks?
- 5.24 24. Can AgentGPT learn and adapt?
- 5.25 25. How can I save or export my AgentGPT outputs?
- 5.26 26. How can I share my AgentGPT outputs?
- 5.27 27. What settings can I adjust for AgentGPT from my browser?
- 5.28 28. What does ‘Temperature’ mean in the settings of AgentGPT?
- 5.29 29. What does ‘Loop’ mean in the settings of AgentGPT?
- 5.30 30. What does ‘Token usage’ mean in the settings of AgentGPT?
- 5.31 31. Does AgentGPT have a web search feature?
Reworkd team has created 3 preset AgentGPT types – PlatformerGPT, TravelGPT, and ResearchGPT. This new upgrade enables AgentGPT to offer a versatile suite of AI-driven automated solutions designed to cater to a variety of needs, featuring three distinct preset modes: PlatformerGPT, TravelGPT, and ResearchGPT.
PlatformerGPT is a specialized mode for programming platform games, seamlessly translating user inputs into engaging and dynamic gaming experiences.
TravelGPT revolutionizes how we plan our travels, providing personalized recommendations and expertly curated itineraries tailored to individual preferences.
ResearchGPT, on the other hand, streamlines the process of creating comprehensive reports by synthesizing vast amounts of data and presenting the findings in an accessible and easily digestible format. Together, these three modes showcase the versatility and potential of AgentGPT to transform diverse domains through AI-powered solutions.
Try preset AgentGPT modes:
PlatformerGPT (AgentGPT mode 1)
PlatformerGPT is an innovative AI Agent designed, a preset mode in AgentGPT built to facilitate the creation of platform games. It relies on the power of natural language processing and advanced machine learning techniques. This specialized AgentGPT mode streamlines the game development process by effortlessly converting user inputs into interactive and immersive gaming experiences.
At its core, PlatformerGPT employs a pre-trained language model that has been fine-tuned to understand the context and semantics of platform game design. You can provide high-level descriptions, game mechanics, level layouts, or specific design elements using natural language. The AI AgentGPT then interprets these inputs, translating them into code and visual assets that form the basis of the platform game.
To ensure seamless integration, PlatformerGPT incorporates a deep understanding of popular game development engines, frameworks, and libraries, such as Unity, Unreal Engine, and Phaser. As a result, it can generate code and assets that are compatible with these platforms, making it easier for developers to integrate AI-generated content into their projects.
Furthermore, PlatformerGPT is designed with an automated iterative feedback mechanism, allowing users to provide real-time feedback and make adjustments to the generated game elements. This enables a rapid prototyping process where developers can experiment with different design ideas and refine them until the desired outcome is achieved.
PlatformerGPT is an automated GPT AI Agent that revolutionizes the process of programming platform games by converting user inputs into engaging gaming experiences. Its ability to understand natural language, generate code and assets, and integrate with popular game development platforms makes it a powerful tool for both experienced developers and novice game designers. Set it a task, and see it build you a platform game.
PlatformerGPT AgentGPT test outputs to build a platform game
We asked PlatformerGPT to do a test run and create a platform-based game. This is what we got following the PlatformerGPT Development Process.
The team recently put PlatformerGPT to the test by tasking the AI agent with creating a platform game. During the development process, AgentGPT’s PlatformerGPT mode accomplished several tasks to ensure a successful outcome:
Understanding Key Factors in Platformer Games
First, the AI agent investigated popular platformer game designs and mechanics to understand the key factors contributing to an engaging and enjoyable gaming experience.
Developing and Refining the Game Prototype
Next, it developed a prototype of the platformer game, incorporating basic movement mechanics, level design, and character mechanics. The prototype was then tested and refined based on user feedback, ensuring the game was challenging yet achievable.
Creating the Design Document
PlatformerGPT also produced a comprehensive design document outlining core gameplay mechanics, level design, character development, and visual and audio elements. This document detailed a plan for testing and revising the game prototype based on user feedback.
User Testing and Feedback
The AI agent utilized research on popular platformer game designs and mechanics to inform the development of the design document and established a plan for user testing and feedback gathering to facilitate the revision process of the platformer game prototype.
Balancing Game Difficulty
Additionally, PlatformerGPT researched and implemented best practices for balancing platformer game difficulty. As needed, it adjusted aspects like enemy AI, level design, and power-up placement. Testing and revisions were conducted based on user feedback.
Refining the Design Document
Finally, the AI agent gathered information on successful platformer game development methods, which included studying top games in the genre, analyzing player feedback, and exploring innovative gameplay mechanics. This information was used to refine the design document, ensuring the final product met the highest quality standards.
The PlatformerGPT outcome summarized:
The development of a platformer game involved a series of tasks, which have been successfully executed by the AI agent PlatformerGPT. The initial stages focused on researching popular platformer game designs and mechanics and creating a prototype with basic movement mechanics, level design, and character mechanics. The prototype was then tested and revised based on user feedback, ensuring that the game remained challenging yet enjoyable for players.
The AI agent further developed a comprehensive design document that incorporated research findings and outlined core gameplay mechanics, level design, character development, and visual and audio elements. A plan for user testing and feedback gathering was also established to facilitate the revision process of the platformer game prototype.
Additionally, PlatformerGPT researched and implemented best practices for balancing platformer game difficulty, adjusting aspects like enemy AI, level design, and power-up placement based on user feedback.
Finally, the AI agent PlatformerGPT has demonstrated its effectiveness in guiding the development of a platformer game. By following a systematic approach and incorporating user feedback, the final product is expected to meet high-quality standards and provide an engaging gaming experience.
As the development process continues, the AI agent will continue to refine the design document, ensuring that the platformer game incorporates successful game development methods and innovative gameplay mechanics.
TravelGPT – Second powerful AgentGPT mode
TravelGPT is an autonomous AI agent built upon AgentGPT, specifically designed to revolutionize the way we plan and organize our travels. As one of the specialized modes of AgentGPT, TravelGPT combines natural language processing, machine learning, and domain-specific knowledge to provide personalized travel recommendations and expertly curated itineraries.
Here’s how TravelGPT works:
Understanding user preferences: TravelGPT begins by gathering information about the user’s travel preferences, interests, and requirements. Users can provide these details using natural language, making the process intuitive and user-friendly. TravelGPT agent then interprets this information to tailor its suggestions accordingly.
Data sourcing and processing: TravelGPT leverages vast repositories of travel-related data, including points of interest, accommodations, transportation options, local events, and more. It processes this data using advanced machine learning algorithms to identify relevant suggestions and generate personalized travel plans.
Generating TravelGPT recommendations: Based on the user’s input and processed data, TravelGPT creates customized recommendations for destinations, attractions, accommodations, dining options, and other travel-related activities. These recommendations are ranked based on factors such as user preferences, budget, travel duration, and location-specific parameters.
Curating itineraries: TravelGPT goes beyond mere recommendations by creating detailed itineraries, outlining day-by-day activities and optimal routes. The AI agent considers factors like travel times, opening hours, and geographical proximity when organizing these itineraries, ensuring a seamless and enjoyable travel experience.
Dynamic TravelGPT adjustments and real-time updates: TravelGPT incorporates real-time data, such as weather updates, transportation schedules, and local events, to make necessary adjustments to travel plans. Users can also provide feedback or request changes, and TravelGPT will respond accordingly, ensuring the final itinerary meets their expectations.
Integration with booking platforms: TravelGPT can also be integrated with various booking platforms, enabling users to conveniently book accommodations, transportation, and activities directly from the AI-generated itinerary.
TravelGPT by AgentGPT is an autonomous AI agent that transforms the way we plan our travels by providing personalized recommendations, curated itineraries, and real-time updates. Its ability to understand natural language, process vast amounts of data, and adapt to user preferences makes it an invaluable tool for modern-day travellers.
TravelGPT AgentGPT test outputs for a Hawaii trip
We asked TravelGPT to plan a trip to Hawaii. These are the takes that AgentGPT (TravelGPT) created:
Itinerary and Accommodations
TravelGPT was tasked with planning a trip to Hawaii, and it began by researching and creating a detailed itinerary that included various activities and accommodations. The itinerary was tailored to the preferences of the travellers, ensuring a personalized and enjoyable experience.
Best Time to Visit
To optimize the travel experience, TravelGPT determined the best time of year to visit Hawaii by considering factors such as weather and peak tourist season. This allowed the travellers to enjoy the beauty of the islands without facing extreme weather conditions or overcrowding.
TravelGPT researched various transportation options, booking flights and rental cars as necessary. This ensured a hassle-free travel experience, allowing the travellers to focus on enjoying their Hawaiian adventure.
Top Locations and Attractions
The AI agent analyzed the best locations to visit in Hawaii based on the travellers’ interests and preferences, including beaches, hiking trails, cultural attractions, and scenic spots. This tailored approach provided a unique and memorable experience for travellers.
Local Expert Consultation
TravelGPT consulted with local travel experts and Hawaii-based travel agencies to obtain insider information and recommendations on the most unique and authentic experiences in Hawaii. This step added an extra layer of depth and excitement to the trip.
A comprehensive budget plan was developed by TravelGPT, accounting for costs associated with transportation, lodging, food, activities, and souvenirs. This allowed the traveller to manage their expenses efficiently during their vacation.
The AI agent coordinated with airlines, hotels, car rental agencies, and other vendors to ensure seamless travel arrangements and confirm all reservations. This level of organization helped minimize potential issues during the trip.
Packing List and Travel Checklist
TravelGPT prepared a detailed packing list and travel checklist for the traveller, including essential items such as sunscreen, insect repellent, comfortable shoes, and appropriate clothing for various activities and weather conditions. This ensured that the travellers were well-prepared for their journey.
Finally, TravelGPT researched and compared lodging options on the chosen islands, considering factors like preferred locations, amenities, and budget constraints. This step helped the travellers secure the most suitable accommodations for their stay.
TravelGPT’s thought process and summary
TravelGPT is a highly capable AI agent designed to plan a detailed and unforgettable trip to Hawaii. It begins by identifying the traveller’s preferences and interests, conducting extensive research, and creating a tailored itinerary that includes activities, accommodations, and transportation.
With its ability to analyze a variety of factors such as the best time of year to visit, the top locations to explore, and the most suitable lodging options, TravelGPT ensures a personalized and enjoyable travel experience.
Furthermore, TravelGPT’s advanced AI capabilities allow it to consult with local travel experts, develop comprehensive budget plans, coordinate with various vendors, and prepare detailed packing lists and travel checklists.
Its versatility and attention to detail make it an invaluable tool for planning a trip to Hawaii or any other destination. By trusting TravelGPT with your travel plans, you can look forward to a well-organized, memorable, and stress-free vacation that aligns with your unique preferences and interests.
ResearchGPT – Third research-oriented AgentGPT mode
ResearchGPT is a specialized mode built within AgentGPT. It is an autonomous AI agent designed to conduct in-depth research and create comprehensive reports on a wide range of subjects. It leverages the power of natural language processing, advanced machine learning techniques, and vast knowledge databases to synthesize information, analyze data, and present findings in a coherent and accessible format.
The process begins with users providing the AI agent ResearchGPT with a research topic or a specific set of questions. ResearchGPT then conducts a systematic search through its extensive knowledge base, which includes a wealth of information from various sources such as articles, academic papers, and databases, to gather relevant data and insights.
To ensure a thorough and unbiased analysis, ResearchGPT employs advanced algorithms that evaluate the credibility of sources, identify key concepts, and extract the most pertinent information. This allows the ResearchGPT AI agent to consider multiple perspectives and synthesize a well-rounded understanding of the subject matter.
Once the research phase is complete, ResearchGPT moves on to generate a detailed report. It structures the content into a logical and coherent format, complete with sections, headings, and subheadings, providing a clear and organized presentation of the findings. The ResearchGPT AI agent also incorporates appropriate citations and references to ensure the credibility of the information presented.
ResearchGPT is designed with an iterative feedback mechanism, allowing it to self-review the generated reports and provide real-time feedback for improvements.
AgentGPT mode ResearchGPT is an autonomous AI agent that revolutionizes the research and reporting process by conducting extensive research, analyzing data, and generating comprehensive reports on various subjects. Its ability to understand natural language, access a vast knowledge base, and respond to user feedback makes it an invaluable tool for researchers, students, and professionals alike.
ResearchGPT (AgentGPT) research outputs (Nike company report)
To test ResearchGPT and its capabilities, we asked it to fulfil a task “Nike Company Report: An Overview“. This was its task process:
1. Company History and Milestones
AgentGPT’s ResearchGPT was tasked with investigating the history of Nike since its founding in 1964. The report compiled major milestones and notable product releases, providing a comprehensive understanding of the company’s journey and evolution over time.
2. Market Position and Analysis
The research included an analysis of Nike’s current market position, examining its competitors, customer base, and growth potential. This provided insights into the competitive landscape and the company’s standing within the industry.
3. Financial Performance and Projections
The report featured a detailed examination of Nike’s financial data, including revenue, profit margin, and stock performance. It also analyzed trends and future projections to assess the company’s financial health and growth prospects.
4. Brand Image and Reputation
ResearchGPT delved into Nike’s brand image and reputation, exploring past controversies or issues that may have affected the company’s standing. This provided a well-rounded perspective on the company’s public perception and potential impact on its market position.
5. Marketing and Advertising Strategies
The analysis identified and evaluated Nike’s key marketing and advertising strategies, focusing on their use of celebrity endorsements and social media campaigns. This offered an understanding of how the company engages with its target audience and drives brand awareness.
6. SWOT Analysis
A comprehensive SWOT analysis of Nike was conducted, examining the company’s strengths, weaknesses, opportunities, and threats in the current market. This evaluation helped identify areas of growth and potential challenges for the company.
7. Supply Chain and Manufacturing
The report examined Nike’s supply chain and manufacturing processes, including the company’s efforts towards sustainability and ethical production practices. This analysis provided insights into the company’s commitment to social responsibility and environmental stewardship.
8. Expansion Plans in Emerging Markets
Finally, the research investigated Nike’s expansion plans in emerging markets and analyzed their potential impact on the company’s growth trajectory. This offered a glimpse into the company’s future direction and potential for continued success in new markets.
ResearchGPT’s thought process and output summary
The test of the AI autonomous agent “ResearchGPT” demonstrated its ability to create a comprehensive report on the Nike company, covering various aspects such as company history, market position, financial performance, brand image, reputation, and more. The AI agent efficiently generated detailed analyses on each sub-task, showcasing its capability to gather information, synthesize knowledge, and present findings in an organized and coherent manner.
Throughout the test, ResearchGPT added and completed several tasks, demonstrating its potential as a powerful tool for research and report creation. The AI agent proved to be effective in providing well-rounded perspectives on Nike’s brand image and reputation, including its past controversies, marketing strategies, and sustainability initiatives.
ResearchGPT offers users a valuable resource for conducting in-depth research, compiling information from various sources, and generating comprehensive reports on a wide range of topics. Its autonomous nature, natural language understanding, and vast knowledge base make it an invaluable tool for researchers, students, and professionals alike.
How to Use AgentGPT from Your Browser (AgentGPT Browser Deploy)
Access AgentGPT from your browser. Here’s a detailed guide about using GPT AI Agents directly from your browser. It works in Chrome, Edge, Firefox, Brave and all other popular web browsers.
Step 1. Create your AgentGPT account
Go to https://agentgpt.reworkd.ai/
To set up AI Agent GPT in your browser, first, you need to sign in or create your own AgentGPT account.
The developers have made it super simple, so you can use your own Google SSO account access via the AgentGPT sign-in page.
Click on the “Sign in” option, and then choose between:
- Sign in to AgentGPT with Google
- Sign in to Agent GPT with GitHub
- Sign in to AgentGPT with Discord
Once you have signed up for AgentGPT or logged into your AgentGPT account, you will be able to create your own AI agent, or chose one of 3 pre-set modes mentioned earlier in the text. Let’s dig into how to create your own browser-based AI GPT Agent.
Step 2. Create your first AgentGPT AI agent
You need to create and save your first agent before anything shows up in your AgentGPT dashboard. You can also choose from 3 pre-set AgentGPT personas – PlatformerGPT, TravelGPT or ResearchGPT.
If you prefer to create your own AI Agent, start by giving your AI agent a Name.
Once you have given your AgentGPT a name, assign it a task or a goal.
When defining a goal for your AI Agent, make sure that you are as clear (and ethical) as possible. Here are a few tips on how to create a proper goal for AgentGPT so you don’t burn your API key credits.
Defining a proper goal for your AI agent is crucial to ensure that it performs tasks effectively and aligns with your desired outcomes. Here are some steps to help you define a suitable goal. Before getting AutoGPT to run it, think about the following AI goal-setting aspects:
- Identify the problem or task:
Clearly outline the problem you want your AI agent to solve or the task you want it to perform. This could be anything from image recognition to natural language processing, depending on your requirements.
- Specify objectives:
Break down the problem or task into smaller, measurable objectives. Each objective should contribute to the overall goal and be clear enough for the AI agent to understand.
- Set performance metrics:
Define quantifiable metrics that will be used to evaluate the AI agent’s performance. These metrics should be relevant to the objectives and enable you to track progress over time.
- Define constraints and boundaries:
Establish any limitations or constraints that the AI agent should adhere to, such as ethical considerations, computational resources, or time limitations.
- Ensure alignment with human values:
It’s essential to ensure that the AI agent’s goals align with human values and don’t cause unintended consequences. This might involve incorporating feedback loops or adjusting the agent’s reward function.
- Make the goal adaptable:
As your AI agent learns and evolves, its goals may need to be adjusted. Ensure that the goal-setting process is flexible and can be updated based on new information or changing circumstances.
- Test and iterate:
Finally, test your AI agent’s performance against the defined goal and use the results to refine and improve the goal definition. This process of testing and iteration can help you achieve a more effective AI agent over time.
Deploying your browser AgentGPT Goal
Deploy AgentGPT directly from your browser.
For the sake of this exercise, we have defined it the following AI goal: "Develop an AI customer support chatbot to handle user inquiries and provide accurate and timely responses."
Once you have set a goal for your AgentGPT – hit Deploy Agent.
Observe your AgentGPT Reasoning
In the central dashboard, you will see how your GPT Agent is reasoning and approaching each task. It is embarking on an AI journey to reach the goal you have set it. It is applying critical thinking, and self-learning during the process.
As it is reaching the set AI goal, on your right, you can observe which tasks have been created and completed. In the background, what is actually happening is – that AgentGPT is communicating with ChatGPT via Open AI API key. It creates prompts for itself, and it is solving them. When it reaches a prompt (a task) which requires some adjustments, it applies meta-thinking and auto-corrects its own prompt.
In this example, this is what AgentGPT produced as an output of its assigned goal.
AgentGPT has created 3 Tasks.
AgentGPT started to solve the first task. As AgentGPT embarked on its mission to tackle the first task, it employed its sophisticated algorithms and vast knowledge base to generate an effective solution.
By analyzing the task’s requirements and utilizing relevant information, the AI worked diligently to address the problem at hand. This initial step in AgentGPT’s workflow demonstrated its ability to quickly engage with diverse challenges and showcased the AI’s capacity to adapt to various scenarios, setting the stage for a highly productive and efficient problem-solving process.
Upon successful completion, it moved on to the next AI task. Upon successful completion of a given task, AgentGPT seamlessly transitioned to the next AI challenge in its queue. This smooth progression from one task to another exemplifies the AI’s ability to efficiently manage multiple assignments, ensuring that all objectives are addressed in a timely manner.
As the AI works through its list of tasks, it continuously adapts and learns, applying knowledge acquired from previous experiences to enhance its performance on subsequent assignments.
This dynamic approach demonstrates the powerful capabilities of AgentGPT, offering users a versatile and intelligent tool capable of handling diverse and complex tasks with ease, ultimately streamlining their workflow and enhancing productivity.
GPT Agent then continued to self-learn and adapt, creating new sub-tasks to complete its goal. The GPT AI Agent demonstrated remarkable capabilities as it continued its self-learning process and adaptation, identifying the necessary steps to achieve its objectives.
By generating new sub-tasks, the agent systematically broke down the overarching goal into smaller, manageable components. This approach allowed the AI to effectively address each aspect of the project, ensuring a comprehensive understanding and analysis of the topic at hand.
As the AgentGPT learned and adapted, its ability to autonomously create and complete sub-tasks showcased the power and flexibility of artificial intelligence in tackling complex challenges and streamlining the problem-solving process.
Pretty powerful stuff, ei? We will stop the AgentGPT demo here, and move on to other features.
Save or Export your AgentGPT outputs
Agent GPT interface provides you with the option to save your AI agent outputs, similar to how ChatGPT records your chat history. On your left, you can access your AgentGPT logs. On your right, clicking the “Export” button will enable you to save your AI agent outputs as an image, as a text copy or as a pdf.
Clicking on AgentGPT history will enable you to access a fullscreen version of your AI agent outputs. You can also hit the Share button, and you will get a direct link to your outputs, which can be shared as a publicly accessible link.
Browser AgentGPT Settings (for a successful AgentGPT Browser Deploy)
To get the most out of your AgentGPT experience, you can fine-tune its settings directly from your browser. You can use your own Open AI API key, or add your credit card details to AgentGPT Settings. Keep in mind, doing this will incur charges on your card.
The AgentGPT interface offers users a variety of settings to customize their AI experience. Within these settings, several key parameters can be adjusted to tailor the AI’s performance to the user’s specific needs. One such parameter is the Key, which is used to authenticate the user and enable access to the AI’s capabilities. Another important parameter is the Language, which allows users to select their preferred language for AI-generated content.
In addition to these basic settings, users can also choose the Model, which determines the version of the AI model being used. This ensures that users can select the most suitable model for their tasks. Furthermore, the Mode option enables users to pick from various preset modes, such as PlatformerGPT, TravelGPT, and ResearchGPT, optimizing the AI’s performance for specific applications.
For those who wish to fine-tune the AI’s behaviour even further, the Advanced Settings provide options to adjust parameters like temperature, loop, and token usage. These comprehensive customization options empower users to create an AI experience that is tailored to their unique requirements and preferences, making the AgentGPT interface a versatile and user-friendly tool for a wide range of applications.
Further in Settings of your AgentGPT interface, you can find the following parameters:
- Advanced Settings.
Under Advanced Settings, you can fine-tune your browser AgentGPT and tweak its Temperature, Loop and Token usage.
When setting up AI AgentGPT, the terms “Temperature,” “Loop,” and “Token usage” refer to different aspects that control the agent’s behaviour during text generation.
Let’s break them down individually:
Setting up Agent GPT’s Temperature
Temperature is a hyperparameter that controls the randomness of the AI agent’s output. It affects the probability distribution of the generated tokens (words or characters).
A high temperature (e.g., 1.0) will make the output more random, diverse, and creative, while a low temperature (e.g., 0.1) will make the output more deterministic, focused, and conservative.
In practice, using a higher temperature value will result in more unexpected or unique responses, while a lower temperature value will lead to more predictable or coherent responses. Fine-tuning the temperature is essential for achieving the desired balance between creativity and consistency in the AI agent’s output.
AgentGPT Loop settings
In the context of AI agents, a loop usually refers to the iterative process of generating text by repeatedly sampling tokens from the model’s probability distribution.
Each iteration or “step” in the loop corresponds to generating a new token (word or character) in the output sequence. Loops can be set up to run for a fixed number of iterations, or until a specific condition is met, such as generating a specific keyword or reaching a maximum token limit.
The loop’s behaviour can be controlled by adjusting parameters like the context (input text), maximum token length, and temperature to influence the AI agent’s output.
Agent GPT Token usage
Token usage refers to the number of tokens consumed by the AI agent during text generation. In language models like GPT, tokens are the smallest units of text that the model can process, typically corresponding to words or characters.
Token usage can impact the quality, length, and complexity of the generated text. Generally, there is a maximum token limit for each AI model, which determines the maximum length of text that can be generated in one run.
When setting up the AI agent, you can specify a maximum token limit to constrain the output length. Additionally, controlling token usage is crucial for managing computational resources, as more tokens require more processing power and time.
By adjusting these settings, you can fine-tune the AI agent’s behaviour, balancing creativity, coherence, and resource usage to meet your specific needs.
AgentGPT Web Search Feature also available in AgentGPT Browser Deploy Version
AgentGPT has access to the internet, and it works autonomously within users’ browsers. Although it currently lacks direct web browsing capabilities, the developers have made progress towards implementing a basic version that performs and summarizes Google searches via the SERP API.
Unfortunately, due to cost concerns, this feature has been temporarily disabled. However, the team behind AgentGPT is dedicated to addressing the issue and anticipates having the web browsing functionality up and running permanently within the week.
As part of their ongoing development efforts, the AgentGPT reworkd team is working on expanding its capabilities by enabling the AI tool AgentGPT to visit and parse websites directly. Once this feature is in place, AgentGPT will be able to access the internet and gather real-time information, further enhancing its usefulness and versatility as an AI-driven autonomous browser assistant.
For now, toggling AgentGPT’s Web Search this button will lead to the following message:
Web AgentGPT Pause Feature
You can now Pause your AI GPT Agents and observe their tasks.
This feature is useful when you want to observe and adjust the heading your AgentGPT is going.
Stay tuned for more updates about the AgentGPT Browser version
More updates will follow here as the team works on new features. Check out our other AgentGPT materials. Try setting AgentGPT to run as an autonomous AI agent on your device, using this guide. Or, follow the main project page for more news.
1. What is AgentGPT Browser Deploy?
AgentGPT Browser Deploy is a way to set up and use AgentGPT directly in your web browser. This setup allows you to create your own AI agents with specific goals and observe them as they work towards achieving those objectives.
2. How can I create an AI agent in my browser with AgentGPT?
With the browser version of AgentGPT, you can easily create an AI agent by giving it a name and setting a specific goal for it. The agent will then embark on a quest to achieve this goal. You can even create multiple AI agents to perform various tasks.
3. What are the 3 preset AgentGPT modes?
Reworkd team has created three preset AgentGPT types: PlatformerGPT, TravelGPT, and ResearchGPT. These modes provide AI-driven solutions tailored to cater to a variety of needs.
4. What is PlatformerGPT?
PlatformerGPT is a mode that specializes in programming platform games. It translates user inputs into engaging and dynamic gaming experiences.
5. What is TravelGPT?
TravelGPT revolutionizes how we plan our travels. It offers personalized recommendations and curated itineraries tailored to individual preferences, significantly enhancing the process of travel planning.
6. What is ResearchGPT?
ResearchGPT is designed to streamline the process of creating comprehensive reports. It synthesizes vast amounts of data and presents the findings in an accessible and easily digestible format.
7. How can I use these preset modes?
You can select the desired preset mode in the browser version of AgentGPT, assign it a specific task, and watch as it uses its AI capabilities to accomplish the goal.
8. What are the advantages of deploying AgentGPT in the browser?
Deploying AgentGPT in the browser provides the flexibility to use the AI model directly from your web browser, without needing to install or set up anything on your local machine. You can also create, modify, and monitor your AI agents conveniently from the browser. It also offers the possibility of running multiple AI agents simultaneously to accomplish different tasks.
9. Where can I access these preset AgentGPT modes?
You can access these preset modes directly from the AgentGPT interface when you deploy it in your web browser.
10. Can I customize AgentGPT preset modes?
The customization possibilities depend on the capabilities of the AgentGPT software and its current version. Generally, you can set specific tasks and goals within the scope of each preset mode, but further customization may require additional setup or programming knowledge. Always refer to the official AgentGPT documentation or community for detailed instructions and limitations.
11. What is PlatformerGPT?
PlatformerGPT is a preset mode in AgentGPT designed to aid in creating platform games. It translates user inputs into code and visual assets that form the basis of a platform game. It understands popular game development engines and allows for an automated iterative feedback mechanism for real-time adjustments.
12. How does PlatformerGPT work?
You provide high-level descriptions, game mechanics, level layouts, or specific design elements using natural language. PlatformerGPT interprets these inputs, translating them into code and visual assets for the platform game. It also enables a rapid prototyping process where developers can experiment with different design ideas.
13. What is TravelGPT?
TravelGPT is an AI agent built upon AgentGPT, designed to revolutionize the way we plan and organize our travels. It offers personalized travel recommendations and expertly curated itineraries based on user inputs.
14. How does TravelGPT work?
TravelGPT begins by gathering information about the user’s travel preferences, interests, and requirements. It then processes this data and creates customized recommendations for destinations, attractions, accommodations, dining options, and other travel-related activities. It also creates detailed itineraries, adjusts plans based on real-time data, and can be integrated with booking platforms.
15. What is ResearchGPT?
ResearchGPT is a specialized mode built within AgentGPT, designed to conduct in-depth research and create comprehensive reports on a wide range of subjects. It synthesizes information, analyzes data, and presents findings in a coherent and accessible format.
16. How does ResearchGPT work?
You provide ResearchGPT with a research topic or a set of questions. ResearchGPT then conducts a systematic search through its extensive knowledge base to gather relevant data and insights. Once the research phase is complete, ResearchGPT generates a detailed report and uses an iterative feedback mechanism for self-review and real-time feedback for improvements.
17. How user-friendly are these AgentGPT modes?
AgentGPT is designed with user-friendliness in mind. It accepts input in natural language and presents its outputs in an organized and understandable format. However, for complex tasks, some basic understanding of the subject matter might be needed to fully utilize these modes.
18. What is AgentGPT and how can I use it in my browser?
AgentGPT is an AI tool that can be used directly from your browser to help you solve tasks or achieve specific goals. It works in popular web browsers such as Chrome, Edge, Firefox, and Brave.
19. How do I create an AgentGPT account?
You can create an AgentGPT account by visiting https://agentgpt.reworkd.ai/ and signing in with your Google, GitHub, or Discord account.
20. How can I create my first AgentGPT AI agent?
Once logged in, you can create your first AI agent by naming it and assigning it a specific task or goal. You can also choose from 3 pre-set AgentGPT personas: PlatformerGPT, TravelGPT or ResearchGPT.
21. How do I define a goal for my AI Agent?
When defining a goal for your AI Agent, ensure it is clear and aligns with the task you want your AI to accomplish. This could involve identifying the problem, setting objectives, performance metrics, and boundaries, ensuring alignment with human values, making the goal adaptable, and testing and iterating the goal.
22. How can I monitor my AgentGPT’s performance?
AgentGPT provides a central dashboard where you can observe how your AI agent reasons and approaches each task. The dashboard also shows which tasks have been created and completed.
23. How does AgentGPT solve tasks?
AgentGPT employs sophisticated algorithms and a vast knowledge base to generate effective solutions to assigned tasks. It can also create sub-tasks to break down complex goals into smaller, manageable components.
24. Can AgentGPT learn and adapt?
Yes, AgentGPT learns and evolves as it works through tasks. It applies knowledge acquired from previous experiences to enhance its performance on subsequent assignments, making it a flexible and powerful tool.
25. How can I save or export my AgentGPT outputs?
Agent GPT interface provides the option to save your AI agent outputs. This can be done by accessing your AgentGPT logs or clicking the “Export” button to save your AI agent outputs as an image, text copy, or PDF.
Clicking on AgentGPT history will enable you to access a fullscreen version of your AI agent outputs. You can also hit the Share button to get a direct link to your outputs, which can be shared as a publicly accessible link.
27. What settings can I adjust for AgentGPT from my browser?
You can fine-tune AgentGPT settings directly from your browser. These include the Key, Language, Model, and Mode. Advanced Settings can be adjusted as well to fine-tune parameters like temperature, loop, and token usage.
28. What does ‘Temperature’ mean in the settings of AgentGPT?
Temperature is a hyperparameter that controls the randomness of the AI agent’s output. It affects the probability distribution of the generated tokens (words or characters). A higher temperature value results in more unexpected or unique responses, while a lower temperature value leads to more predictable or coherent responses.
29. What does ‘Loop’ mean in the settings of AgentGPT?
In the context of AI agents, a loop usually refers to the iterative process of generating text by repeatedly sampling tokens from the model’s probability distribution. Each iteration or “step” in the loop corresponds to generating a new token (word or character) in the output sequence.
30. What does ‘Token usage’ mean in the settings of AgentGPT?
Token usage refers to the number of tokens consumed by the AI agent during text generation. Token usage can impact the quality, length, and complexity of the generated text. Controlling token usage is crucial for managing computational resources, as more tokens require more processing power and time.
31. Does AgentGPT have a web search feature?
Yes, AgentGPT has access to the internet, and a basic version that performs and summarizes Google searches via the SERP API is being implemented. However, due to cost concerns, this feature has been temporarily disabled but should be up and running permanently soon.