Why Wave is my new go-to terminal app - how I use this powerful tool

2026-05-18 · Source: News and Advice on the World's Latest Innovations | ZDNET · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Wave Terminal is an open-source, AI-native terminal application designed to consolidate various developer tools into a single interface. Available for Linux, MacOS, and Windows, this beta application integrates functionalities such as system resource monitoring, process management, GitHub repository access, a standard command-line interface, and a built-in web browser. A key feature is its integrated AI, which can assist with command usage, answer queries, and interact with terminal output and files when its "Widget Context" is enabled. Users can configure various AI models, including Google Gemini Pro or local Ollama instances, using JSON settings. The application also supports multiple custom workspaces, allowing users to tailor their environment for different tasks, enhancing efficiency and streamlining workflows.

Key takeaway

For IT professionals and developers seeking to streamline their command-line workflows, Wave Terminal offers a compelling solution by integrating essential tools and AI capabilities. You should consider adopting this beta application to consolidate system monitoring, file management, web browsing, and AI-powered command assistance into a single, customizable interface. This integration can significantly boost your productivity and reduce context switching, despite its current beta status.

Key insights

Wave Terminal unifies diverse developer tools and AI assistance within a single, customizable terminal interface.

Principles

• Consolidate tools for efficiency
• AI integration enhances CLI utility

Method

Install Wave Terminal via platform-specific packages (Snap, .deb, .dmg, .exe). Configure AI models in JSON settings. Utilize workspaces to organize integrated tools like terminal, files, web, sysinfo, and processes.

In practice

• Manage remote machines and files
• Get AI assistance for CLI commands
• Create custom workspaces for tasks

Topics

• Wave Terminal
• AI-native Terminal
• Command Line Interface
• Workspace Management
• AI Model Configuration

Best for: Software Engineer, IT Professional, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by News and Advice on the World's Latest Innovations | ZDNET.