Skip to main content

Your Python AI Coder

Project description

Nemo Agent

PyPI - Version Python 3.10+ PyPI - Downloads License: MIT Libraries.io dependency status for GitHub repo

Nemo Agent

Features

  • Runs blazing fast
  • Generates Python project structures automatically using uv
  • Writes Python code based on task descriptions
  • Executes development tasks using AI-generated commands
  • Utilizes the OpenAI or Gemini language models for intelligent code generation
  • Ability to import reference documents to guide the task implementation
  • Allows importing existing code projects in multiple languages to serve as a reference for the task
  • Enables the importation of csv data files to populate databases or graphs
  • 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
  • Shows the token count used for the responses
  • Run via UV (uvx)

Coding Ability

  • leetcode hards
  • fastapi or flask APIs
  • flask web apps
  • streamlit apps
  • tkinter apps
  • jupyter notebook

Install

Requirements

  • Python 3.10 or higher
  • OpenAI or Gemini API key
  • Mac or Linux
  • No GPU requirement

Requirements Installation

  • Install OpenAI or Gemini for zsh shell
    • echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.zshrc or
    • echo 'export GEMINI_API_KEY="YOUR_API_KEY"' >> ~/.zshrc
  • pip install uv
  • uvx nemo-agent - to run nemo-agent

Usage

Providers

  • openai: uvx nemo-agent (default)
  • gemini: uvx nemo-agent --provider gemini

Supported Models

  • openai is gpt-4.1 (default), o4-mini, and o3 (requires organization verification)
  • gemini is gemini-2.5-pro-preview-05-06(default) and gemini-2.5-flash-preview-04-17

Calling Non-Default Models

  • uvx nemo-agent --model o4-mini

Import Reference Documentation Into Prompt

  • Documentation files must be either: .md (Markdown) or .txt (Text) and be located in a folder
  • uvx nemo-agent --docs example_folder

Import Existing Code Projects Into Prompt

  • Code files must be either: .py (Python), .php (PHP), .rs (Rust), .js (JavaScript), .ts (TypeScript), .toml (TOML), .json (JSON), .rb (Ruby), or .yaml (YAML) and be located in a folder
  • uvx nemo-agent --code example_folder

Import Data Into Prompt

  • Data files must be .csv (CSV) and be located in a folder
  • uvx nemo-agent --data example_folder

Prompting

CLI

  • uvx nemo-agent "create a fizzbuzz script"

OR

File Prompt

  • Prompt file must be markdown (.md) or text files (.txt)
  • uvx nemo-agent --file example.md or
  • uvx nemo-agent --file example.txt

Run Generated Program

  • cd generated_project_folder
  • source .venv/bin/activate
  • python main.py

Tests

Tests are automatically created and run.

Skipping Tests

You many want to skip tests especially if you are generating a UI application.

  • uvx nemo-agent "create a fizzbuzz script" --tests False

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


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nemo_agent-5.0.0.tar.gz (13.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nemo_agent-5.0.0-py3-none-any.whl (12.9 kB view details)

Uploaded Python 3

File details

Details for the file nemo_agent-5.0.0.tar.gz.

File metadata

  • Download URL: nemo_agent-5.0.0.tar.gz
  • Upload date:
  • Size: 13.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for nemo_agent-5.0.0.tar.gz
Algorithm Hash digest
SHA256 cc1cf020b6339c56f94837d803c64ae504e50959bb94348b709077408c8d212d
MD5 76dcdd989898e65e76f520242eddc68d
BLAKE2b-256 b6f0295a00325768692b3bb93464d17bfedd9d8c2a7f3b7e6a360675decdfe91

See more details on using hashes here.

File details

Details for the file nemo_agent-5.0.0-py3-none-any.whl.

File metadata

  • Download URL: nemo_agent-5.0.0-py3-none-any.whl
  • Upload date:
  • Size: 12.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for nemo_agent-5.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 68d8ac5986b3b649b50e50d87da41c8747886b34c478140a1c9cfc038c38dc31
MD5 fc40cbce148564efff18f5f05beb0e73
BLAKE2b-256 ac69f845519c45c91dd48b59413e980e35bc519c23faf7b8e70db7cb9c3a6be0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page