by dheerajcl · Agent Tool · ★ 77
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Shell Sage 🐚✨ Intelligent Terminal Companion | AI-Powered Terminal Assistant (Development Preview - v0.2.0) Features 🌟 Next-Gen Terminal Experience 🏠 Local AI Support (Ollama) & Cloud AI (Groq) 🔍 Context-aware error diagnosis 🪄 Natural language to command translation ⚡ Safe command execution workflows 🔧 Core Capabilities Error Diagnosis Natural Language to Commands ⚡ Interactive Workflows Confirm before executing generated commands Step-by-step complex operations Safety checks for destructive commands 🌐 Supported API Providers Groq OpenAI Anthropic Fireworks.ai OpenRouter Deepseek Switch providers with Installation Prerequisites Python 3.8+ (4GB+ recommended for local models) bash Clone & install Shell Sage git clone https://github.com/dheerajcl/Terminalassistant.git cd Terminalassistant ./install.sh Install Ollama for local AI curl -fsSL https://ollama.com/install.sh | sh Get base model (3.8GB) #for example ollama pull llama3:8b-instruct-q41 or API key (Currently supports Groq, OpenAI, Ant
| Stars | 77 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 37.3/100 |
| Last Updated | 2025-03-17 |
| Created | 2025-01-25 |
| Platforms | cli, python |
| Est. Tokens | ~85k |
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Shellsage is An intelligent CLI tool that intercepts terminal errors and provides instant, context-aware solutions using LLM's. Transform natural language into terminal commands and never get stuck on cryptic erro. It is categorized as a Agent Tool with 77 GitHub stars.
Shellsage is primarily written in Python. It covers topics such as bash, cli, clitools.
You can find installation instructions and usage details in the Shellsage GitHub repository at github.com/dheerajcl/Shellsage. The project has 77 stars and 7 forks, indicating an active community.
Shellsage is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Shellsage on Agent Skills Hub include hcom, agent-deck, gptree. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.