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AI command-line helper that turns plain English into Bash, Zsh or PowerShell commands; free for light daily use.
CLI-based personal AI that runs 15+ LLMs from your terminal and pairs with Markdown tools like Obsidian and VS Code.
Preview CLI copilot that translates plain-English requests into Linux shell commands.
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.
No public pricing
No public pricing
No public pricing
- ✦Natural-language to shell command suggestions
- ✦Models trained on Bash/Zsh commands
- ✦Optional StackOverflow search via -s flag
- ✦PowerShell support
- ✦Quick Bash script generation
- ✦Suggests but never auto-runs commands
- ✦Terminal/CLI interface for prompting LLMs
- ✦Access to 15 models across 7 providers
- ✦Markdown workflow integration (Obsidian, VS Code, MkDocs)
- ✦Situational web-app generation and local run
- ✦Web scraping/content extraction (gather)
- ✦Vision-model support for images
- ✦Configurable prompt templates and intents
- ✦Natural language to Linux command translation
- ✦Simple 'hey' prefix invocation
- ✦GitHub-based install
- ✦Early preview release
- ✦AI Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦Unified encrypted inference endpoint
- ✦Multi-agent parallel execution
- ✦CLI, IDE, and API access
- ✦App builder and remote coding agents
- ✦Chairman LLM output evaluation
- ✦35+ IDE integrations
- →Recalling forgotten shell syntax
- →Writing quick Bash one-liners
- →Learning terminal commands
- →Generating scripts from a description
- →Prompt and compare multiple LLMs from the terminal
- →Generate and run small web apps without setup
- →Automate Markdown document workflows
- →Extract structured content from text and webpages
- →Recall forgotten Linux commands
- →Speed up terminal work
- →Help beginners learn shell commands
- →Automating coding tasks with AI agents
- →Integrating external tools for enhanced functionality
- →Improving code accuracy with context-aware suggestions
- →Boosting coding speed with smart autocompletion
- →Building RAG apps without writing code
- →Automating refactors, tests, and migrations
- →Running competing AI coding agents
- →Building apps from prompts
- →Integrating agents into CI/CD