Your Python AI Coder
Project description
Nemo Agent
Nemo Agent is your Python AI Coder!
https://github.com/user-attachments/assets/51cf6ad1-196c-44ab-99ba-0035365f1bbd
Features
- Runs blazing fast
- Generates Python project structures automatically using
poetry
- Writes Python code based on task descriptions
- Executes development tasks using AI-generated commands
- Utilizes the
mistral-nemo
language models for intelligent code generation - Implements best practices in Python development automatically
- Writes and runs passing tests using
pytest
up to 80%+ test coverage - Automatically fixes and styles code using
pylint
up to 7+/10 - Calculates and improves the complexity score using
complexipy
to be under 15 - Auto-formats the code with
autopep8
- Utilizes
git
to commit and track changes
Coding Ability
- Some leetcode hards (app works - tests pass)
fastapi
orflask
APIs (app works - tests pass)flask
web apps (app works - tests pass)streamlit
apps (app works - tests fail)tkinter
apps (app works - tests fail)
Install
Local Install
Requirements
- Python 3.9 or higher
- git
- curl
- Ollama running
mistral-nemo
- Mac or Linux
- Linux Test Box: Ubuntu 24.04 with RTX 4070
- Mac Test Box: Mac Mini M2 Pro with 16GB
- May run on less powerful systems
Requirements Installation
- Ollama install instructions:
curl -fsSL https://ollama.com/install.sh | sh
ollama pull mistral-nemo
pip install nemo-agent
- You are ready to use
nemo-agent
OR
Cloud Install
Requirements
- RunPod account setup with your SSH and billing information
RunPod Setup
- Make sure you have setup your SSH keys
- Select a
4090
pod - Select the
RunPod Pytorch 2.1.1
template - Edit the template:
- Set
Container Disk
to 60 GB - Set
Expose HTTP Ports
to8888, 11434
- Add
environment variables
withOLLAMA_HOST
key and0.0.0.0
value
- Set
- Deploy your pod
- After deploying then login via SSH
- Run on the pod:
(curl -fsSL https://ollama.com/install.sh | sh && ollama serve > ollama.log 2>&1) &
and then press CTRL+C to exit - Run on the pod:
ollama pull mistral-nemo
- Run on the pod:
pip install nemo-agent
- You are ready to use
nemo-agent
Usage
nemo-agent "create a fizzbuzz script"
Contributing
Contributions to Nemo Agent are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Disclaimer
Nemo Agent generates code using an LLM. Every run is different as the LLM generated code is different. While it strives for accuracy and best practices, the generated code should be reviewed and tested before being used in a production environment.
Project details
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