llamashell is a powerful shell that's powered by a locally running LLM. We have tested it with Llama 3.2, Qwen 2.5, and Gemma 3.

• Interactive Shell: Execute standard shell commands like cd, ls, and more, with support for pipes (|), input redirection (<), and output redirection (> or >>).
• LLM Integration: Interact with an LLM (default: meta-llama/Llama-3.2-1B-Instruct) for assistance using the -- prefix (e.g., -- write me an inspirational quote).
• Command History: Persistent command history stored in ~/.llamashell_history.
• Chat Log Management: Save and view LLM conversation logs with commands like --save-chat-logs and --view-chat-logs.
• File Operations: Read files into the LLM context with --read <filename> and save individual LLM responses with --save <filename>.
• Auto-Completion: Basic command and file auto-completion for a smoother user experience.
• Cross-Platform: Supports GPU acceleration (CUDA/MPS) and CPU fallback for broad compatibility.

pip3 install llamashell

• Python 3.11+
• Linux or MacOS

llamashell

You can provide any instruct LLM you can find on hugging face. For example:

llamashell --model "Qwen/Qwen2.5-0.5B-Instruct"

or

llamashell --model "google/gemma-3-1b-it"

• -- <message>: Send a message to the LLM.
• --save-chat-logs: Save the entire LLM conversation to a file.
• --save [filename]: Save the last LLM response to a file.
• --view-chat-logs: Display the LLM conversation history.
• --read <filename>: Read a file and add its contents to the LLM context.
• --clear: Reset the LLM chat session.
• history: Show the shell command history.
• exit, quit, bye: Exit the shell.