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18 changes: 17 additions & 1 deletion README.md
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Expand Up @@ -24,11 +24,27 @@ Modern development involves constantly switching between terminals and browsers
- Flexible drag & drop interface to organize terminal blocks, editors, web browsers, and AI assistants
- Built-in editor for seamlessly editing remote files with syntax highlighting and modern editor features
- Rich file preview system for remote files (markdown, images, video, PDFs, CSVs, directories)
- Integrated AI chat with support for multiple models (OpenAI, Claude, Azure, Perplexity, Ollama)
- Quick full-screen toggle for any block - expand terminals, editors, and previews for better visibility, then instantly return to multi-block view
- Wave AI - Context-aware terminal assistant that reads your terminal output, analyzes widgets, and performs file operations
- AI chat widget with support for multiple models (OpenAI, Claude, Azure, Perplexity, Ollama)
- Command Blocks for isolating and monitoring individual commands with auto-close options
- One-click remote connections with full terminal and file system access
- Secure secret storage using native system backends - store API keys and credentials locally, access them across SSH sessions
- Rich customization including tab themes, terminal styles, and background images
- Powerful `wsh` command system for managing your workspace from the CLI and sharing data between terminal sessions
- Connected file management with `wsh file` - seamlessly copy and sync files between local, remote SSH hosts, Wave filesystem, and S3

## Wave AI

Wave AI is your context-aware terminal assistant with access to your workspace:

- **Terminal Context**: Reads terminal output and scrollback for debugging and analysis
- **File Operations**: Read, write, and edit files with automatic backups and user approval
- **CLI Integration**: Use `wsh ai` to pipe output or attach files directly from the command line
- **Free Beta**: Included AI credits while we refine the experience
- **Coming Soon**: Command execution (with approval), local model support, and alternate AI providers (BYOK)

Learn more in our [Wave AI documentation](https://docs.waveterm.dev/waveai).

## Installation

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