Ai Coder Scratch
What is Ai Coder Scratch
ai-coder-scratch is a lightweight chatbot framework built using pure Python and LLM (Large Language Model) without relying on MCP, Langchain, or Langraph.
Use cases
Use cases include developing interactive learning platforms, automating customer service responses, and creating personal chatbots for individual users.
How to use
To use ai-coder-scratch, create a virtual environment, install the required dependencies, set up your API key in a .env file or via command line, and then start the chatbot by running ‘python main.py’.
Key features
Key features include simplicity in setup, reliance solely on Python, and the ability to integrate with LLMs for chatbot functionalities.
Where to use
ai-coder-scratch can be used in various domains such as educational tools, customer support chatbots, and personal assistant applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ai Coder Scratch
ai-coder-scratch is a lightweight chatbot framework built using pure Python and LLM (Large Language Model) without relying on MCP, Langchain, or Langraph.
Use cases
Use cases include developing interactive learning platforms, automating customer service responses, and creating personal chatbots for individual users.
How to use
To use ai-coder-scratch, create a virtual environment, install the required dependencies, set up your API key in a .env file or via command line, and then start the chatbot by running ‘python main.py’.
Key features
Key features include simplicity in setup, reliance solely on Python, and the ability to integrate with LLMs for chatbot functionalities.
Where to use
ai-coder-scratch can be used in various domains such as educational tools, customer support chatbots, and personal assistant applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Installation
Create Virtual Environment
python -m venv venv
Install Dependencies
pip install -r requirements.txt
Setup API Key
Create an .env file and add the key in it as shown
GEMINI_API_KEY = "AI********"
or directly set the “GEMINI_API_KEY” in command line on the go
Start the Chatbot
python main.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
