A command-line AI assistant for software engineering tasks with code generation, git integration, and repository management capabilities.
The AI Code Assistant provides the following core functionalities:
- Code generation and modification with context-awareness
- Git integration
- File management commands
- Repository indexing and refresh
- GitHub API interactions
- Project structure creation and validation
- AI PR reviews
- AI Repository summaries
Prerequisites: Python, Ollama
# Clone repo
git clone https://github.com/viditvidit/helios.git
# Run in development mode
pip install -e .
# Run this to use Helios
heliosGITHUB_TOKEN = <YOUR GIT TOKEN>
GITHUB_USERNAME = <YOUR GIT USERNAME>
OLLAMA_HOST = http://localhost:11434 # or your custom host linkMake changes in: models.yaml
# Change here
models:
gemma3: # Set custom name
name: 'gemma3:27b-it-q4_K_M' # Enter model name as seen in ollama
<<: *common_settings/help # For exploring all features of Helios/knight create a .NET console application named 'dotnet-weather-cli'. The app should take a city name as a command-line argument, make a GET request to a public weather API (like Open-Meteo), and print the current temperature for that city. Use the `HttpClient` class for the API call and `Newtonsoft.Json` to parse the response.Modify configuration settings in configs/models.yaml to customize:
- AI model parameters
- Agent instructions and principles
- Code generation guidelines
- Project structure templates
Other Git creations:















