signal-aichat VS Auto-GPT-Plugins

Compare signal-aichat vs Auto-GPT-Plugins and see what are their differences.

signal-aichat

An AI chatbot for Signal powered by Google Bard, Bing Chat, ChatGPT, HuggingChat, and llama.cpp (by cycneuramus)

Auto-GPT-Plugins

Plugins for Auto-GPT (by Significant-Gravitas)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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signal-aichat Auto-GPT-Plugins
6 6
72 3,885
- 0.4%
7.3 6.8
25 days ago 18 days ago
Python Python
GNU Affero General Public License v3.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

signal-aichat

Posts with mentions or reviews of signal-aichat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.

Auto-GPT-Plugins

Posts with mentions or reviews of Auto-GPT-Plugins. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.
  • AI Applications/tools with OpenAI API support? [Examples]
    7 projects | /r/selfhosted | 6 Jun 2023
    github plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins
  • AutoGPT Plugin Directory
    1 project | /r/autogptplugins | 1 May 2023
  • Part 1
    1 project | /r/AAAilikeydonutsAAA | 1 May 2023
    Debug Mode: ENABLED GPT4 Only Mode: ENABLED NEWS: ::UPDATED:: Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here. If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag # INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins ## Changes to Docker configuration The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly. Welcome to Auto-GPT! run with '--help' for more information. Create an AI-Assistant: Enter the name of your AI and its role below. Entering nothing will load defaults. Name your AI: For example, 'Entrepreneur-GPT' AI Name: Python Coder GPT Python Coder GPT here! I am at your service. Describe your AI's role: For example, 'an AI designed to autonomously develop and run businesses with the sole goal of increasing your net worth.' Python Coder GPT is: an AI designed to assist users in writing Python code by providing suggestions, completing code, and even writing entire programs from scratch. Python Coder GPT saves the generated code to a file that the user can open within its workspace, allowing them to review and modify the code as needed. Its role is to be a helpful tool for people who don't like programming, leaving the difficult tasks to the AI. Enter up to 5 goals for your AI: For example: Increase net worth, Grow Twitter Account, Develop and manage multiple businesses autonomously' Enter nothing to load defaults, enter nothing when finished. Goal 1: Create a proper directory within C:\Users\hazen\Desktop\TcNo-TCHT\PowerShell\AI\Auto-GPT\auto_gpt_workspace that will enable front-end and back-end development for creating a new application. Goal 2: Begin outlining ideas for developing an app with a nice GUI that can create, organize, delete, create shortcuts for, and save snapshots of all virtual environments designated by the user. Save the outline to a file, and remember it Goal 3: Begin working on the app, referencing the first section of the outline to remember details, and write the code to a text or json file, labeled Section 1. Remember the code by saving section 1 to your memory as well. Goal 4: Reread your outline, and reference section 1, in order to begin development on Section 2. Save all progress made to your memory, and append the code for section 2 into the file created for section 1, while recording all non-code related comments into a separate file. Remember your progress, save to memory, and prepare for section 3. Goal 5: Reread your outline again, and reference section 1 and 2, in order to begin development on Section 3. Save all progress made to your memory, and append the code for section 3 into the file created for section 1 and 2, while recording all non-code related comments into a separate file. Remember your progress, save to memory, and enable future development by saving a file reporting your goal, progress, and future tasks you'll need to complete to finish or polish this project. If you aren't finished, leave it open open for further improvement so that when I come back to you, we can leave where we left off. Using memory of type: LocalCache Using Browser: chrome Token limit: 4000 Memory Stats: (0, (0, 1536)) Token limit: 4000 Send Token Count: 1383 Tokens remaining for response: 2617 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:27:06 2023 System: This reminds you of these events from your past: User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ---------------- Creating chat completion with model gpt-4, temperature 0.0, max_tokens 2617 The JSON object is valid. THOUGHTS: I need to create a directory for the new application and start outlining the app. REASONING: Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development. PLAN: - Create a directory - Outline the app - Save the outline to a file - Begin working on the app CRITICISM: I should ensure that the directory is created in the correct location and that the outline is comprehensive.NEXT ACTION: COMMAND = execute_shell ARGUMENTS = {'command_line': 'mkdir C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app'} Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ... Input:y -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= Executing command 'mkdir C:\Users\hazen\Desktop\TcNo-TCHT\PowerShell\AI\Auto-GPT\auto_gpt_workspace\new_app' in working directory '/home/appuser/auto_gpt_workspace' SYSTEM: Command execute_shell returned: STDOUT: b'' STDERR: b'' Token limit: 4000 Memory Stats: (1, (1, 1536)) Token limit: 4000 Send Token Count: 1888 Tokens remaining for response: 2112 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:27:49 2023 System: This reminds you of these events from your past: ['Assistant Reply: {\n "thoughts": {\n "text": "I need to create a directory for the new application and start outlining the app.",\n "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.",\n "plan": "- Create a directory\\n- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.",\n "speak": "I will create a directory for the new application and start outlining the app."\n },\n "command": {\n "name": "execute_shell",\n "args": {\n "command_line": "mkdir C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app"\n }\n }\n} \nResult: Command execute_shell returned: STDOUT:\nb\'\'\nSTDERR:\nb\'\' \nHuman Feedback: GENERATE NEXT COMMAND JSON '] User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to create a directory for the new application and start outlining the app.", "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.", "plan": "- Create a directory\n- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.", "speak": "I will create a directory for the new application and start outlining the app." }, "command": { "name": "execute_shell", "args": { "command_line": "mkdir C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app" } } } System: Command execute_shell returned: STDOUT: b'' STDERR: b'' User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ---------------- Creating chat completion with model gpt-4, temperature 0.0, max_tokens 2112 The JSON object is valid. THOUGHTS: Now that the directory is created, I need to outline the app. REASONING: Outlining the app will provide a clear plan for development. PLAN: - Outline the app - Save the outline to a file - Begin working on the app CRITICISM: I should ensure that the outline is comprehensive and covers all the necessary features. NEXT ACTION: COMMAND = do_nothing ARGUMENTS = {} Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ... Input:y -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= SYSTEM: Command do_nothing returned: No action performed. Token limit: 4000 Memory Stats: (2, (2, 1536)) Token limit: 4000 Send Token Count: 2236 Tokens remaining for response: 1764 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:28:32 2023 System: This reminds you of these events from your past: ['Assistant Reply: {\n "thoughts": {\n "text": "I need to create a directory for the new application and start outlining the app.",\n "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.",\n "plan": "- Create a directory\\n- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.",\n "speak": "I will create a directory for the new application and start outlining the app."\n },\n "command": {\n "name": "execute_shell",\n "args": {\n "command_line": "mkdir C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app"\n }\n }\n} \nResult: Command execute_shell returned: STDOUT:\nb\'\'\nSTDERR:\nb\'\' \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "Now that the directory is created, I need to outline the app.",\n "reasoning": "Outlining the app will provide a clear plan for development.",\n "plan": "- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.",\n "speak": "I will now outline the app."\n },\n "command": {\n "name": "do_nothing",\n "args": {}\n }\n} \nResult: Command do_nothing returned: No action performed. \nHuman Feedback: GENERATE NEXT COMMAND JSON '] User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to create a directory for the new application and start outlining the app.", "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.", "plan": "- Create a directory\n- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.", "speak": "I will create a directory for the new application and start outlining the app." }, "command": { "name": "execute_shell", "args": { "command_line": "mkdir C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app" } } } System: Command execute_shell returned: STDOUT: b'' STDERR: b'' User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "Now that the directory is created, I need to outline the app.", "reasoning": "Outlining the app will provide a clear plan for development.", "plan": "- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.", "speak": "I will now outline the app." }, "command": { "name": "do_nothing", "args": {} } } System: Command do_nothing returned: No action performed. User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ---------------- Creating chat completion with model gpt-4, temperature 0.0, max_tokens 1764 The JSON object is valid. THOUGHTS: I need to outline the app and save it to a file. REASONING: Outlining the app will provide a clear plan for development, and saving it to a file will allow for easy reference. PLAN: - Outline the app - Save the outline to a file - Begin working on the app CRITICISM: I should ensure that the outline is comprehensive and covers all the necessary features. NEXT ACTION: COMMAND = write_to_file ARGUMENTS = {'file': 'C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app\\app_outline.txt', 'text': 'App Outline:\n1. Create a GUI for managing virtual environments\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\n3. Implement functionality to save snapshots of virtual environments\n4. Ensure the app is user-friendly and easy to navigate'} Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ... Input:y -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= SYSTEM: Command write_to_file returned: File written to successfully. Token limit: 4000 Memory Stats: (3, (3, 1536)) Token limit: 4000 Send Token Count: 2836 Tokens remaining for response: 1164 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:29:29 2023 System: This reminds you of these events from your past: ['Assistant Reply: {\n "thoughts": {\n "text": "I need to create a directory for the new application and start outlining the app.",\n "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.",\n "plan": "- Create a directory\\n- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.",\n "speak": "I will create a directory for the new application and start outlining the app."\n },\n "command": {\n "name": "execute_shell",\n "args": {\n "command_line": "mkdir C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app"\n }\n }\n} \nResult: Command execute_shell returned: STDOUT:\nb\'\'\nSTDERR:\nb\'\' \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "Now that the directory is created, I need to outline the app.",\n "reasoning": "Outlining the app will provide a clear plan for development.",\n "plan": "- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.",\n "speak": "I will now outline the app."\n },\n "command": {\n "name": "do_nothing",\n "args": {}\n }\n} \nResult: Command do_nothing returned: No action performed. \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "I need to outline the app and save it to a file.",\n "reasoning": "Outlining the app will provide a clear plan for development, and saving it to a file will allow for easy reference.",\n "plan": "- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.",\n "speak": "I will outline the app and save it to a file."\n },\n "command": {\n "name": "write_to_file",\n "args": {\n "file": "C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app\\\\app_outline.txt",\n "text": "App Outline:\\n1. Create a GUI for managing virtual environments\\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\\n3. Implement functionality to save snapshots of virtual environments\\n4. Ensure the app is user-friendly and easy to navigate"\n }\n }\n} \nResult: Command write_to_file returned: File written to successfully. \nHuman Feedback: GENERATE NEXT COMMAND JSON '] User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to create a directory for the new application and start outlining the app.", "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.", "plan": "- Create a directory\n- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.", "speak": "I will create a directory for the new application and start outlining the app." }, "command": { "name": "execute_shell", "args": { "command_line": "mkdir C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app" } } } System: Command execute_shell returned: STDOUT: b'' STDERR: b'' User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "Now that the directory is created, I need to outline the app.", "reasoning": "Outlining the app will provide a clear plan for development.", "plan": "- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.", "speak": "I will now outline the app." }, "command": { "name": "do_nothing", "args": {} } } System: Command do_nothing returned: No action performed. User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to outline the app and save it to a file.", "reasoning": "Outlining the app will provide a clear plan for development, and saving it to a file will allow for easy reference.", "plan": "- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.", "speak": "I will outline the app and save it to a file." }, "command": { "name": "write_to_file", "args": { "file": "C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app\\app_outline.txt", "text": "App Outline:\n1. Create a GUI for managing virtual environments\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\n3. Implement functionality to save snapshots of virtual environments\n4. Ensure the app is user-friendly and easy to navigate" } } } System: Command write_to_file returned: File written to successfully. User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ---------------- Creating chat completion with model gpt-4, temperature 0.0, max_tokens 1164 The JSON object is valid. THOUGHTS: I need to start working on the app by referencing the first section of the outline. REASONING: Following the outline will help me develop the app in a structured manner. PLAN: - Read the outline - Begin working on Section 1 - Save the code to a file - Remember the code CRITICISM: I should ensure that I understand the requirements of Section 1 before starting development. NEXT ACTION: COMMAND = read_file ARGUMENTS = {'file': 'C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app\\app_outline.txt'} Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ... Input:y -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= SYSTEM: Command read_file returned: App Outline: 1. Create a GUI for managing virtual environments 2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments 3. Implement functionality to save snapshots of virtual environments 4. Ensure the app is user-friendly and easy to navigate Token limit: 4000 Memory Stats: (4, (4, 1536)) Token limit: 4000 Send Token Count: 2995 Tokens remaining for response: 1005 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:30:05 2023 System: This reminds you of these events from your past: ['Assistant Reply: {\n "thoughts": {\n "text": "Now that the directory is created, I need to outline the app.",\n "reasoning": "Outlining the app will provide a clear plan for development.",\n "plan": "- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.",\n "speak": "I will now outline the app."\n },\n "command": {\n "name": "do_nothing",\n "args": {}\n }\n} \nResult: Command do_nothing returned: No action performed. \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "I need to start working on the app by referencing the first section of the outline.",\n "reasoning": "Following the outline will help me develop the app in a structured manner.",\n "plan": "- Read the outline\\n- Begin working on Section 1\\n- Save the code to a file\\n- Remember the code",\n "criticism": "I should ensure that I understand the requirements of Section 1 before starting development.",\n "speak": "I will start working on the app by referencing the first section of the outline."\n },\n "command": {\n "name": "read_file",\n "args": {\n "file": "C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app\\\\app_outline.txt"\n }\n }\n} \nResult: Command read_file returned: App Outline:\n1. Create a GUI for managing virtual environments\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\n3. Implement functionality to save snapshots of virtual environments\n4. Ensure the app is user-friendly and easy to navigate \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "I need to create a directory for the new application and start outlining the app.",\n "reasoning": "Creating a directory will help organize the project files, and outlining the app will provide a clear plan for development.",\n "plan": "- Create a directory\\n- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the directory is created in the correct location and that the outline is comprehensive.",\n "speak": "I will create a directory for the new application and start outlining the app."\n },\n "command": {\n "name": "execute_shell",\n "args": {\n "command_line": "mkdir C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app"\n }\n }\n} \nResult: Command execute_shell returned: STDOUT:\nb\'\'\nSTDERR:\nb\'\' \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "I need to outline the app and save it to a file.",\n "reasoning": "Outlining the app will provide a clear plan for development, and saving it to a file will allow for easy reference.",\n "plan": "- Outline the app\\n- Save the outline to a file\\n- Begin working on the app",\n "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.",\n "speak": "I will outline the app and save it to a file."\n },\n "command": {\n "name": "write_to_file",\n "args": {\n "file": "C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app\\\\app_outline.txt",\n "text": "App Outline:\\n1. Create a GUI for managing virtual environments\\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\\n3. Implement functionality to save snapshots of virtual environments\\n4. Ensure the app is user-friendly and easy to navigate"\n }\n }\n} \nResult: Command write_to_file returned: File written to successfully. \nHuman Feedback: GENERATE NEXT COMMAND JSON '] User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to outline the app and save it to a file.", "reasoning": "Outlining the app will provide a clear plan for development, and saving it to a file will allow for easy reference.", "plan": "- Outline the app\n- Save the outline to a file\n- Begin working on the app", "criticism": "I should ensure that the outline is comprehensive and covers all the necessary features.", "speak": "I will outline the app and save it to a file." }, "command": { "name": "write_to_file", "args": { "file": "C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app\\app_outline.txt", "text": "App Outline:\n1. Create a GUI for managing virtual environments\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\n3. Implement functionality to save snapshots of virtual environments\n4. Ensure the app is user-friendly and easy to navigate" } } } System: Command write_to_file returned: File written to successfully. User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to start working on the app by referencing the first section of the outline.", "reasoning": "Following the outline will help me develop the app in a structured manner.", "plan": "- Read the outline\n- Begin working on Section 1\n- Save the code to a file\n- Remember the code", "criticism": "I should ensure that I understand the requirements of Section 1 before starting development.", "speak": "I will start working on the app by referencing the first section of the outline." }, "command": { "name": "read_file", "args": { "file": "C:\\Users\\hazen\\Desktop\\TcNo-TCHT\\PowerShell\\AI\\Auto-GPT\\auto_gpt_workspace\\new_app\\app_outline.txt" } } } System: Command read_file returned: App Outline: 1. Create a GUI for managing virtual environments 2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments 3. Implement functionality to save snapshots of virtual environments 4. Ensure the app is user-friendly and easy to navigate User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ---------------- Creating chat completion with model gpt-4, temperature 0.0, max_tokens 1005 The JSON object is valid. THOUGHTS: I need to begin working on Section 1 of the app, which is creating a GUI for managing virtual environments. REASONING: Starting with the GUI will provide a foundation for the rest of the app's functionality. PLAN: - Develop the GUI for managing virtual environments - Save the code to a file - Remember the code CRITICISM: I should ensure that the GUI is user-friendly and easy to navigate. NEXT ACTION: COMMAND = start_agent ARGUMENTS = {'name': 'GUI_Developer', 'task': 'Develop GUI for managing virtual environments', 'prompt': 'Develop a Python code snippet for creating a basic GUI for managing virtual environments using tkinter. The GUI should have a main window with a title, a menu bar, and a status bar.'} Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ... Input:y -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= Creating chat completion with model gpt-3.5-turbo, temperature 0.0, max_tokens None Creating chat completion with model gpt-3.5-turbo, temperature 0.0, max_tokens None SYSTEM: Command start_agent returned: Agent GUI_Developer created with key 0. First response: Here's a Python code snippet for creating a basic GUI for managing virtual environments using tkinter: ```python import tkinter as tk # Create the main window root = tk.Tk() root.title("Virtual Environment Manager") # Create the menu bar menu_bar = tk.Menu(root) root.config(menu=menu_bar) # Create the File menu file_menu = tk.Menu(menu_bar, tearoff=0) file_menu.add_command(label="New Virtual Environment") file_menu.add_command(label="Open Virtual Environment") file_menu.add_separator() file_menu.add_command(label="Exit", command=root.quit) menu_bar.add_cascade(label="File", menu=file_menu) # Create the Help menu help_menu = tk.Menu(menu_bar, tearoff=0) help_menu.add_command(label="About") menu_bar.add_cascade(label="Help", menu=help_menu) # Create the status bar status_bar = tk.Label(root, text="Ready", bd=1, relief=tk.SUNKEN, anchor=tk.W) status_bar.pack(side=tk.BOTTOM, fill=tk.X) # Run the GUI root.mainloop() ``` This code creates a main window with a title "Virtual Environment Manager", a menu bar with "File" and "Help" menus, and a status bar at the bottom of the window. The "File" menu has options for creating a new virtual environment, opening an existing virtual environment, and exiting the application. The "Help" menu has an "About" option. The status bar displays the text "Ready". Token limit: 4000 Memory Stats: (5, (5, 1536)) Token limit: 4000 Send Token Count: 2955 Tokens remaining for response: 1045 ------------ CONTEXT SENT TO AI --------------- System: The current time and date is Mon May 1 13:34:20 2023 System: This reminds you of these events from your past: ['Assistant Reply: {\n "thoughts": {\n "text": "I need to begin working on Section 1 of the app, which is creating a GUI for managing virtual environments.",\n "reasoning": "Starting with the GUI will provide a foundation for the rest of the app\'s functionality.",\n "plan": "- Develop the GUI for managing virtual environments\\n- Save the code to a file\\n- Remember the code",\n "criticism": "I should ensure that the GUI is user-friendly and easy to navigate.",\n "speak": "I will begin working on Section 1 of the app, which is creating a GUI for managing virtual environments."\n },\n "command": {\n "name": "start_agent",\n "args": {\n "name": "GUI_Developer",\n "task": "Develop GUI for managing virtual environments",\n "prompt": "Develop a Python code snippet for creating a basic GUI for managing virtual environments using tkinter. The GUI should have a main window with a title, a menu bar, and a status bar."\n }\n }\n} \nResult: Command start_agent returned: Agent GUI_Developer created with key 0. First response: Here\'s a Python code snippet for creating a basic GUI for managing virtual environments using tkinter:\n\n```python\nimport tkinter as tk\n\n# Create the main window\nroot = tk.Tk()\nroot.title("Virtual Environment Manager")\n\n# Create the menu bar\nmenu_bar = tk.Menu(root)\nroot.config(menu=menu_bar)\n\n# Create the File menu\nfile_menu = tk.Menu(menu_bar, tearoff=0)\nfile_menu.add_command(label="New Virtual Environment")\nfile_menu.add_command(label="Open Virtual Environment")\nfile_menu.add_separator()\nfile_menu.add_command(label="Exit", command=root.quit)\nmenu_bar.add_cascade(label="File", menu=file_menu)\n\n# Create the Help menu\nhelp_menu = tk.Menu(menu_bar, tearoff=0)\nhelp_menu.add_command(label="About")\nmenu_bar.add_cascade(label="Help", menu=help_menu)\n\n# Create the status bar\nstatus_bar = tk.Label(root, text="Ready", bd=1, relief=tk.SUNKEN, anchor=tk.W)\nstatus_bar.pack(side=tk.BOTTOM, fill=tk.X)\n\n# Run the GUI\nroot.mainloop()\n```\n\nThis code creates a main window with a title "Virtual Environment Manager", a menu bar with "File" and "Help" menus, and a status bar at the bottom of the window. The "File" menu has options for creating a new virtual environment, opening an existing virtual environment, and exiting the application. The "Help" menu has an "About" option. The status bar displays the text "Ready". \nHuman Feedback: GENERATE NEXT COMMAND JSON ', 'Assistant Reply: {\n "thoughts": {\n "text": "I need to start working on the app by referencing the first section of the outline.",\n "reasoning": "Following the outline will help me develop the app in a structured manner.",\n "plan": "- Read the outline\\n- Begin working on Section 1\\n- Save the code to a file\\n- Remember the code",\n "criticism": "I should ensure that I understand the requirements of Section 1 before starting development.",\n "speak": "I will start working on the app by referencing the first section of the outline."\n },\n "command": {\n "name": "read_file",\n "args": {\n "file": "C:\\\\Users\\\\hazen\\\\Desktop\\\\TcNo-TCHT\\\\PowerShell\\\\AI\\\\Auto-GPT\\\\auto_gpt_workspace\\\\new_app\\\\app_outline.txt"\n }\n }\n} \nResult: Command read_file returned: App Outline:\n1. Create a GUI for managing virtual environments\n2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments\n3. Implement functionality to save snapshots of virtual environments\n4. Ensure the app is user-friendly and easy to navigate \nHuman Feedback: GENERATE NEXT COMMAND JSON '] System: Command read_file returned: App Outline: 1. Create a GUI for managing virtual environments 2. Implement functionality to create, organize, delete, and create shortcuts for virtual environments 3. Implement functionality to save snapshots of virtual environments 4. Ensure the app is user-friendly and easy to navigate User: Determine which next command to use, and respond using the format specified above: Assistant: { "thoughts": { "text": "I need to begin working on Section 1 of the app, which is creating a GUI for managing virtual environments.", "reasoning": "Starting with the GUI will provide a foundation for the rest of the app's functionality.", "plan": "- Develop the GUI for managing virtual environments\n- Save the code to a file\n- Remember the code", "criticism": "I should ensure that the GUI is user-friendly and easy to navigate.", "speak": "I will begin working on Section 1 of the app, which is creating a GUI for managing virtual environments." }, "command": { "name": "start_agent", "args": { "name": "GUI_Developer", "task": "Develop GUI for managing virtual environments", "prompt": "Develop a Python code snippet for creating a basic GUI for managing virtual environments using tkinter. The GUI should have a main window with a title, a menu bar, and a status bar." } } } System: Command start_agent returned: Agent GUI_Developer created with key 0. First response: Here's a Python code snippet for creating a basic GUI for managing virtual environments using tkinter: ```python import tkinter as tk # Create the main window root = tk.Tk() root.title("Virtual Environment Manager") # Create the menu bar menu_bar = tk.Menu(root) root.config(menu=menu_bar) # Create the File menu file_menu = tk.Menu(menu_bar, tearoff=0) file_menu.add_command(label="New Virtual Environment") file_menu.add_command(label="Open Virtual Environment") file_menu.add_separator() file_menu.add_command(label="Exit", command=root.quit) menu_bar.add_cascade(label="File", menu=file_menu) # Create the Help menu help_menu = tk.Menu(menu_bar, tearoff=0) help_menu.add_command(label="About") menu_bar.add_cascade(label="Help", menu=help_menu) # Create the status bar status_bar = tk.Label(root, text="Ready", bd=1, relief=tk.SUNKEN, anchor=tk.W) status_bar.pack(side=tk.BOTTOM, fill=tk.X) # Run the GUI root.mainloop() ``` This code creates a main window with a title "Virtual Environment Manager", a menu bar with "File" and "Help" menus, and a status bar at the bottom of the window. The "File" menu has options for creating a new virtual environment, opening an existing virtual environment, and exiting the application. The "Help" menu has an "About" option. The status bar displays the text "Ready". User: Determine which next command to use, and respond using the format specified above: ----------- END OF CONTEXT ----------------
  • What are auto GPT plugins? Have me hearing abt them everywhere. Can someone explain it me like a 8 year old?
    2 projects | /r/AutoGPT | 30 Apr 2023
    Next, you will need the Auto GPT plugins. To get them, you or your parents can visit this website https://github.com/Significant-Gravitas/Auto-GPT-Plugins and click on the green button that says "Code". Then click on "Download ZIP" and save the file on your computer.
  • How to add API keys of different search engines to Auto-GPT?
    1 project | /r/AutoGPT | 30 Apr 2023
    You'd probably need to use a plugin or write one yourself.
  • Daily General Discussion - April 27, 2023
    2 projects | /r/ethfinance | 27 Apr 2023
    As a first goal, I asked it to find tweets about Ethereum or Ether, and analyse their sentiments. It found a few tweets by googling. Now I found that there is a twitter plugin in the plugins repo: https://github.com/Significant-Gravitas/Auto-GPT-Plugins

What are some alternatives?

When comparing signal-aichat and Auto-GPT-Plugins you can also consider the following projects:

yal-discord-bot - Yet Another LLaMA/ALPACA Discord Bot

lighthouse-metrics - A docker-compose with Grafana + Prometheus for monitoring Lighthouse

chat-llama-discord-bot - A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.

autogpt-package - It's like Auto-GPT met Brew. The easiest and fastest way to get started with AutoGPT with any backend of your choice & whatever plugins you may need

promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.

AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

nsfw-prompt-detection-sd - NSFW Prompt Detection for Stable Diffusion

LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.

realtime-bakllava - llama.cpp with BakLLaVA model describes what does it see

AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

shap-e - Generate 3D objects conditioned on text or images

model-galleryc