Tired of paying for OPENAI, PINECONE, GOOGLESEARCH APIs to try out the latest developments in the AI field? Perfect, this is the repository for you! 🎁

For any problem open an ISSUE 🚬, the project is very simple so any help is welcome💸.

Are you bored reading😴? Do you want to try our project now⏳? Open the notebook on Colab everything is ready!

RUN NOW ON COLAB😮 ⚠️ Abusing this tool is at your own risk

By the way, thank you so much for and all the support!!

Hello everyone 🥰 ,

I wanted to start by talking about how important it is to democratize AI. Unfortunately, most new applications or discoveries in this field end up enriching some big companies, leaving behind small businesses or simple projects. One striking example of this is Autogpt, an autonomous AI agent capable of performing tasks.

Autogpt and similar projects like BabyAGI only work with paid APIs, which is not fair. That's why I tried to recreate a simpler but very interesting and, above all, open-source version of Autogpt that does not require any API and does not need any particular hardware.

I believe that by providing free and open-source AI tools, we can give small businesses and individuals the opportunity to create new and innovative projects without the need for significant financial investment. This will allow for more equitable and diverse access to AI technology, which is essential for advancing society as a whole.

--

• HUGGINGFACE🤗 : Visit this simple official guide

• Now Running also with HuggingCHAT

• (OPTIONAL BUT BETTER RESULT) CHATGPT🖥 :

  1. Go to https://chat.openai.com/chat and open the developer tools by F12.
  2. Find the __Secure-next-auth.session-token cookie in Application > Storage > Cookies > https://chat.openai.com.
  3. Copy the value in the Cookie Value field.

• (OPTIONAL) Google Bard🖥 :
  1. Go toGo to https://bard.google.com/ and open the developer tools by F12.
  2. Find the __Secure-1PSID cookie in Application > Storage > Cookies
  3. Copy the value in the Cookie Value field.

• (OPTIONAL) Bing CHAT :
  1. Check if you have access to Bing Chat
  2. Install the cookie editor extension for Chrome or Firefox
  3. Go to bing.com
  4. Open the extension for cookie
  5. Click "Export" on the bottom right, then "Export as JSON" (This saves your cookies to clipboard)
  6. Paste your cookies into a file cookiesBing.json

Open the file called .env . If you dont see the file, open your file manger and check for Show hidden file .

Now add you Cookie and Token in .env file .

🚀Added the possibility to use Docker image using Dev Container in VSCode. How to run it :

• Install Docker Desktop
• Install Visual Studio Code
• Open Visual Studio and go to Extensions -> search for Dev Container -> install it
• Restart Visual Studio
• Go to the project folder, right click and "Open in Visual Studio Code"
• It will ask you to reopen in a Docker Container
• Click "Reopen" and wait for it to be complete (you need to have Docker Desktop opened)

RUN NOW ON COLAB😮 ⚠️ Abusing this tool is at your own risk

Or use Locally :

• Dowload the repository FREE AUTOGPT REPOSITORY
• install using Dev Container in VSCode or pip3 install -r requirements.txt
• insert the .env file yours Token
• if you dont see the .env file check "Show hidden file" in your file manger
• Usage: python BABYAGI.py

RUN NOW ON COLAB😮 ⚠️ Abusing this tool is at your own risk

Or use Locally :

• Dowload the repository FREE AUTOGPT REPOSITORY
• install using Dev Container in VSCode or pip3 install -r requirements.txt
• insert the .env file yours Token
• if you dont see the .env file check "Show hidden file" in your file manger
• Usage: python AUTOGPT.py

RUN NOW ON COLAB😮 ⚠️ Abusing this tool is at your own risk

Or use Locally :

• Dowload the repository FREE AUTOGPT REPOSITORY
• install using Dev Container in VSCode or pip3 install -r requirements.txt
• cd OtherAgent/
• Choose or develop your agent [ csvAgent.py ; pythonAgent.py ; customAgent.py ]
• Usage: python YourAgent.py

RUN NOW ON COLAB😮 ⚠️ Abusing this tool is at your own risk

Or use Locally :

• Dowload the repository FREE AUTOGPT REPOSITORY
• pip3 install -r requirements.txt
• streamlit run Camel.py

To create an open-source version of Autogpt that does not require paid APIs or specific hardware, we performed a reverse engineering process on ChatGPT, a language model developed by OpenAI. By doing so, we were able to use the agents and new technologies of langchain for free.

We then created a custom LLM wrapper with langchain, which can be used as a plug-and-play solution with any langchain function or tool 💡.

from FreeLLM import ChatGPTAPI 

# Instantiate a ChatGPT object with your token
llm = ChatGPTAPI.ChatGPT((token="YOURTOKEN")  #for start new chat

# or if if u would to start from an existing chat 
# llm = ChatGPTAPI.ChatGPT(token = "YOUR-TOKEN", conversation = "Add-XXXX-XXXX-Convesation-ID")


# Generate a response based on the given prompt
response = llm("Hello, how are you?")

# Print the response
print(response)

The code snippet provided above shows how to use our custom ChatGPT LLM class to interact with the language model. It requires a token from the ChatGPT API, which can be obtained from https://chat.openai.com/api/auth/session.

Please note that there is a limit of 50 requests per hour for each account on the ChatGPT API 💣. Therefore, we implemented a call counter in our ChatGPT class to prevent exceeding this limit.

from FreeLLM import HuggingChatAPI 

# Instantiate a ChatGPT object with your token
llm = HuggingChatAPI.HuggingChat()  #for start new chat

# Generate a response based on the given prompt
response = llm("Hello, how are you?")

# Print the response
print(response)

from FreeLLM import BingChatAPI 

# Instantiate a Bing CHAT object with your cookie path
llm=BingChatAPI.BingChat(cookiepath="cookie_path")  #for start new chat

llm=BingChatAPI.BingChat(cookiepath=cookie_path, conversation_style="creative") #conversation_style must be precise, creative or balanced

# Generate a response based on the given prompt
response = llm("Hello, how are you?")

# Print the response
print(response)

from FreeLLM import BardChatAPI 

# Instantiate a Bard CHAT object with your cookie path
llm=BardChatAPI.BardChat(cookie="cookie") #for start new chat

# Generate a response based on the given prompt
response = llm("Hello, how are you?")

# Print the response
print(response)

We believe that our open-source version of Autogpt will promote equitable and diverse access to AI technology and empower individuals and small businesses to create innovative AI projects without significant financial investment.

This is an example of CUSTOM agent, in less of 60 line of code and totally for free, with:

• Internet access
• Python code execution
• Wikipedia knowledge

from langchain.agents import initialize_agent #use for create new agent
from langchain.agents import Tool
from langchain.tools import BaseTool, DuckDuckGoSearchRun
from langchain.utilities import PythonREPL #tool for execute python script
from langchain.utilities import WikipediaAPIWrapper #tool get wiki info
from langchain.tools import DuckDuckGoSearchTool #tool get interet live info (langchain==0.0.150)

from FreeLLM import ChatGPTAPI # FREE CHATGPT API
#or
from FreeLLM import HuggingChatAPI 
from FreeLLM import BingChatAPI 
from FreeLLM import BardChatAPI 


# Instantiate a ChatGPT object with your token
llm = ChatGPTAPI.ChatGPT((token="YOURTOKEN")

# or use Bing CHAT
# llm = BingChatAPI.BingChat(cookiepath="cookie_path")

# or use Google BArd CHAT
# llm=BardChatAPI.BardChat(cookie="cookie") 

# or use HuggingChatAPI if u dont have CHATGPT, BING or Google account
# llm = HuggingChatAPI.HuggingChat() 


# Define the tools
wikipedia = WikipediaAPIWrapper()
python_repl = PythonREPL()
search = DuckDuckGoSearchTool()

tools = [
    Tool(
        name = "python repl",
        func=python_repl.run,
        description="useful for when you need to use python to answer a question. You should input python code"
    )
]

wikipedia_tool = Tool(
    name='wikipedia',
    func= wikipedia.run,
    description="Useful for when you need to look up a topic, country or person on wikipedia"
)

duckduckgo_tool = Tool(
    name='DuckDuckGo Search',
    func= search.run,
    description="Useful for when you need to do a search on the internet to find information that another tool can't find. be specific with your input."
)

tools.append(duckduckgo_tool)
tools.append(wikipedia_tool)


#Create the Agent
iteration = (int(input("Enter the number of iterations: ")) if input("Do you want to set the number of iterations? (y/n): ") == "y" else 3)

zero_shot_agent = initialize_agent(
    agent="zero-shot-react-description", 
    tools=tools, 
    llm=llm,
    verbose=True,
    max_iterations=iteration,
)

# Start your Custom Agent in loop
print(">> STRAT CUSTOM AGENT")
print("> Digit 'exit' for exit or 'your task or question' for start\n\n")
prompt = input("(Enter your task or question) >> ")
while prompt.toLowerCase() != "exit":
    zero_shot_agent.run(prompt)
    prompt = input("(Enter your task or question) >> ")
    
# SO ESASY :)

By the way, thank you so much for and all the support!!

• VIDEO DEMO
• FREE AUTOGPT REPOSITORY
• Camel project
• BABY AGI
• AutoGPT
• langchain for custom llm wrapper

• Create free LLM langchain wrapper based on Reverse Engineered ChatGPT API by OpenAI

• Create free LLM langchain wrapper based on Reverse Engineered HUGGING CHAT API by HuggingFace

• Create free LLM langchain wrapper based on Reverse Engineered Bing CHAT API by Microsoft

• Create free LLM langchain wrapper based on Reverse Engineered Bard CHAT API by Google

• Find a way to replace OpenAIEmbeddings() using HuggingFace Embeddings infeence API

• Create a simple versione of CAMEL based on Camel theory

• Create a simple version of BABYAGI based on Baby AGI

• Add web search Tool

• Add file writer Tool

• Add Wikipedia Tool

• Add QA web page Tool

• Finally AUTOGPT without paids API

• Make a Colab Notebook for make this repository accessible to anyone

• Local using with Dev Container in VSCode by @FlamingFury00

• Add other free Custom LLM wrapper Add this

• Add long term memory

• Find a way to replace PINECONE api

• Find a way to replace official Google API

• https://github.com/hwchase17/langchain
• https://github.com/terry3041/pyChatGPT
• https://github.com/Soulter/hugging-chat-api
• https://github.com/Significant-Gravitas/Auto-GPT