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ai-agent

ai-shifu: AI Teaching Helper

Get AI to teach and answer questions. For founders in education and AI.
309 stars119 forksPythonHealth Score 8/10Updated 8/12/2026100% free · open source
What it does

Ai-shifu is an AI-powered tool that allows users to interact with it through text-based conversations, enabling it to teach and answer questions on various topics.

Install / run
git clone https://github.com/ai-shifu/ai-shifu.git && cd ai-shifu
When to use it
  • You need to create interactive educational content for students
  • You want to develop an AI-powered chatbot for customer support
  • You need to generate automated responses for frequently asked questions
Quick start
  1. 1Run the command `pip install -r requirements.txt` to install the necessary dependencies
  2. 2Configure the `config.json` file to specify the AI model and other settings
  3. 3Train the AI model using the `train.py` script and a dataset of your choice
  4. 4Interact with the AI model using the `chat.py` script and start asking questions
  5. 5Customize the AI model by modifying the `models.py` file and re-training the model
Ready-to-paste prompt
python chat.py --model-path=models/my_model --question='What is the capital of France?'
Heads up: You need to have Python 3.8 or later installed, as well as the necessary dependencies specified in the `requirements.txt` file, to run ai-shifu successfully
Saves to your device

Topics

agent
ai
education
llm
teaching-assistant
How ai-shifu: AI Teaching Helper works
Codeflow
Free to inspect

Ai-shifu: AI Teaching Helper is a very large Python project (~341k lines across 1226 code files, plus 378 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~341k lines · 1226 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Docker
No API keys detected
Python 64%TypeScript 35%SCSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/api/app.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic2094 files
docs/Documentation104 files
scripts/Helper scripts41 files
docker/Deployment / infrastructure17 files
.github/CI / automation (GitHub Actions)32 files
.cursor/Editor / agent settings12 files
.claude/Editor / agent settings4 files
assets/Images & static assets3 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
ai-shifu
Language
Python
Category
ai-agent
Published
7/23/2024

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