I honestly feel that if you’re still using GUI tools for most things, you’re voluntarily wasting time. In 2026, you can easily use CLI agents for many tasks on your computer and save a lot of time spent traversing file trees and searching for buttons. These tools can turn the terminal into a fast, efficient workspace where you can get real work done without having to switch between windows and menus.
I can just describe what I want and let the agent do the heavy lifting. It can read the entire repository, make changes to multiple files, perform builds, and fix bugs with very little input from me. That way, I can spend less time managing the environment and more time on the actual problem I want to solve.
The terminal also eliminates many small interruptions that add up over time. There are fewer distractions, fewer context switches, and fewer layers between me and the system. The workflow is faster because every action starts from the keyboard and stays there.
CLI agents are not limited to information
These agents have access to more information than most people realize
CLI agents now have access to almost all types of data, including data stored in Google Workspace. Since the advent of tools like OpenClaw, both community and official developers have created plugins that integrate GUI applications with CLI agents.
For example, agents such as Claude Code, Codex and Aider can act as a central hub for your workstation. They can replace many manual clicks with executable actions supported by reasoning loops. You can also customize these agents to work with the data and tools you use every day. For example, you can connect the agent to the Google Workspace CLIallowing him to manage your Drive, Gmail, Calendar and Docs directly from the terminal.
I find it more efficient because it takes time to open a Google Sheet and manually update columns, formulas and rules. Instead, you can instruct the agent at the terminal in natural language and it can make these changes for you.
It doesn’t stop there. If you want your agent to access data from other applications such as Notion, Obsidian, or countless other tools, you can use MCPs, short for Model Context Protocol. This standardized interface allows agents to communicate with external tools, databases, APIs, and web services, effectively replacing the traditional GUI plugin architecture.
One argument that often comes up is access to current information from the Internet. There are also CLI tools for this. For example, Firecrawl can give your agent access to the web, allowing it to search, crawl, and research without requiring a graphical browser session.
You can easily link GUI programs with CLI alternatives
There are many options available
The key is to identify the applications you use every day and then look for terminal-based alternatives that the AI agent can interact with. For example, instead of relying on a traditional email client, you can use NeoMutt alongside tools like notmuch and mbsync. In this setup, mbsync periodically syncs your IMAP mailboxes to Maildir folders, most of which index and organize that data for quick retrieval. This gives AI agents direct access to a structured native email database without requiring a graphical interface.
One of the most Useful terminal tools to replace GUI workflows are Scripta terminal-based file manager. I find the default file explorers on both Windows and macOS to be cluttered and inefficient, and I often struggle to find what I’m looking for. File navigation with Yazi is significantly faster. You can combine it with tools like Zoxide, which learns your most visited folders and lets you switch between them with simple commands.
Now you’re looking at a workflow built around asynchronous operations, non-blocking previews, and fast file navigation. Instead of clicking folders and waiting for windows to load, both you and your AI agent can move between files and folders using structured commands that are easy to automate and justify.
Your chat app can become a command center
You can use Discord, Telegram and even WhatsApp
If you don’t want to live in a terminal all day, you can make a chat app like Discord or Telegram for your agent. Both platforms now support bot-style interactions. Discord bots connect via the Discord API, respond to events, and can be controlled with slash commands and message interactions. Telegram’s Bot API is an HTTP-based interface built for bots, and Telegram messages can be used to implement commands, keyboards, and buttons.
You can talk to an agent on Discord or Telegram and let them access behind-the-scenes tools instead of opening 10 different apps. After connecting enough services through MCP, your agent behaves like a real executive assistant.
This means that you can ask for something in plain language and have the agent fetch data from one service, update another, notify someone in the chat, and continue the whole process without having to switch between browser tabs. The point is that the chat application becomes the control layer and the GUI becomes something you only open when you need to look at the result.
GUI applications are still sometimes required
I’m not arguing that GUI apps are going away. There are still many tasks where a visual interface makes sense. If I need to edit a photo, watch a video, or work with something that’s inherently visual, I’ll happily use the GUI.
But I no longer think of GUI programs as the default way to interact with my computer. Most of my work revolves around data, files, documents, code, research and communication. These are all things that AI agents can handle surprisingly well through command-line tools and APIs.
