{"repo":"smadgulkar/spren-ai-terminal-assistant-rust","free":true,"listed":false,"github":"https://github.com/smadgulkar/spren-ai-terminal-assistant-rust","clone":"git clone https://github.com/smadgulkar/spren-ai-terminal-assistant-rust.git","description":"Smart AI terminal assistant (Rust) that translates natural language commands into accurate Bash, PowerShell, or CMD shell commands for Linux, macOS, and Windows. Features command preview, safe execution, and AI-powered error analysis. Boost your command-line productivity. #cli #ai #rust #devtool #nlp","language":"Rust","stars":20,"topics":["ai","assistant","bash","cli","cmd","commad-line","command-generator","cross-platform","developer-tools","linux"],"license":"AGPL-3.0","category":"cli-tools","readme_excerpt":"Spren Natural language to shell commands. Runs locally. No API keys needed. Why Spren? - 100% Local - Runs entirely on your CPU. No cloud, no API keys, no internet required - Zero Config - Download, install, run. That's it - Fast - 5 second inference on modern CPUs - Private - Your commands never leave your machine - Smart - Context-aware: understands your current directory and git status - Self-Healing - Auto-suggests fixes when commands fail - Cross-Platform - Linux, macOS, Windows (Bash, Zsh, PowerShell, CMD) Installation Linux (Recommended) Or install to user directory (no sudo): macOS Windows 1. Download spren-windows-amd64.zip from releases 2. Extract to a folder (e.g., C:\\Program Files\\Spren ) 3. Add that folder to your PATH environment variable 4. Open a new terminal and run spren Usage Basic Mode (REPL) Interactive TUI Mode Features: command editing, history navigation, visual interface Single Query Mode Examples Features Context-Aware Commands Spren understands your environment: Auto-Fix Failed Commands When a command fails, Spren automatically suggests a fix: Interactive TUI Run spren --tui for a full terminal interface: - Edit commands before execution (Tab) - Navigate history (Up/Down arrows) - Visual feedback for dangerous commands How It Works Spren uses a fine-tuned Qwen2.5-0.5B model, quantized to 4-bit (Q4 K M) for efficient CPU inference. The model was trained on 20,000+ shell command examples covering: - File operations (ls, find, cp, mv, rm) - Process man","default_branch":null,"files":null,"tree":[],"storefront":"/r/smadgulkar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/smadgulkar/spren-ai-terminal-assistant-rust/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}