Create Once,Teach Personally.

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• Personalized explanation engine — Generates learning paths and tone based on learner background, goals, and level.
• Interactive Q&A & probing — Decomposes questions, asks clarifiers, and suggests next actions during sessions.
• Rapid course assembly — Author with high-level frameworks and intent; AI-Shifu elaborates into lessons, activities, and assessments.
• Reduced production & delivery overhead — Minimizes repetitive prep and support; every learner gets a dedicated “AI tutor.”
• Multi-channel integration — Embeddable in websites, course platforms, and enterprise training portals.

• Course creators — Hand a single lesson framework to AI-Shifu; learners receive personalized explanations and real-time interaction.
• Enterprise training — Input training content once; employees get role- and background-specific learning paths.
• Educators — Provide a syllabus to generate personalized coaching content plus a Q&A assistant.

• Writing AI agent for rapid script generation and maintenance
• Knowledge base
• Speech input and output

AI-Shifu.com is an education platform powered by AI-Shifu. You can try it and learn the AI-guided courses developed by human experts.

For source code installation, please refer to the Installation Manual

Make sure your machine has installed Docker and Docker Compose.

git clone https://github.com/ai-shifu/ai-shifu.git
cd ai-shifu/docker

# For minimal setup (only required variables):
cp .env.example.minimal .env

# Or for full configuration options:
cp .env.example.full .env

# Edit .env and configure the required variables:
# - SQLALCHEMY_DATABASE_URI: Database connection
# - SECRET_KEY: JWT signing key (generate with: python -c "import secrets; print(secrets.token_urlsafe(32))")
# - UNIVERSAL_VERIFICATION_CODE: Test verification code
# - At least one LLM API key (OPENAI_API_KEY, ERNIE_API_KEY, etc.)

docker compose up -d

git clone https://github.com/ai-shifu/ai-shifu.git
cd ai-shifu/docker

# Choose configuration template:
cp .env.example.minimal .env  # For minimal setup
# OR
cp .env.example.full .env      # For full configuration

# Configure the required variables in .env file
# See .env.example.minimal for required variables
# See .env.example.full for all available options

./dev_in_docker.sh

After Docker starts:

1. Open http://localhost:8080 in your browser to access the user interface
2. Open http://localhost:8081 in your browser to access the script editor
3. Use any phone number for login; the default universal verification code is 1024 (for demo/testing only — change or disable in production)