Learn · agentic terminal
What is an agentic terminal?
By Lalla Asmaa Alaoui, founder of Mel · Updated
An agentic terminal is a terminal where AI agents plan a task, run commands, edit files and test the result. You stay in charge of which commands and edits they may run.
A normal terminal waits for you to type every command. An AI chat answers questions but leaves the doing to you: you copy the code, run it, read the error and paste it back. An agentic terminal closes that loop. You describe the outcome you want, and the agents take the steps inside your real project, in the same window where you already run your shell.
What makes a terminal "agentic"?
Four things separate an agentic terminal from a terminal with a chat box added on:
- It acts, not only answers. The agent reads files, runs commands and edits code, then reads what happened and decides the next step.
- It works in your real environment. Your repo, your tools, your shell, your branch. Nothing has to be pasted in or out.
- It checks its own work. A good agent runs the tests or the build and reads the output before it calls a task done.
- It keeps you in charge. Approvals decide which commands and edits need your yes.
A useful test: if the tool cannot run a command and react to the result, it is an assistant, not an agent.
The agentic terminal as an agentic coding workspace
An agentic coding workspace is the whole setting where agents work on your code with you: your project, the tools that build and test it, the agents that act on it, and the controls that decide what they may do. Most tools that use the phrase start from a code editor. An agentic terminal is the terminal-based kind: the agents work where builds, tests, git and deploy scripts already run, so they see the same errors you see. Many developers keep both open, an editor for reading code and a terminal for running and shipping it.
How Mel does it
- Your normal terminal first. Run commands as usual on Mac, Windows or Linux.
- Hand over a task and a team of agents plans, builds, tests and ships it in the same window.
- You set the rules. Configurable approvals decide which commands and edits run.
- Other CLI agents fit in. Claude Code or Aider run inside Mel like any program.
How the options compare
| Classic terminal | AI chat in a browser | Terminal coding agent | Mel (agentic terminal) | |
|---|---|---|---|---|
| Runs your commands | You type them | No | Yes | Yes |
| Edits files in your project | You do | No, you paste | Yes | Yes |
| Checks its work with tests | You do | No | Usually | Yes |
| Several agents on one task | No | No | Varies by tool | Yes, a team of agents |
| Choice of model | n/a | One company | Often one company | Claude, GPT, Gemini, DeepSeek, Qwen |
| Control | Full, manual | Full, manual | Approval settings vary | Configurable approvals |
| Non-code work (PDFs, files, research) | Scripts only | Yes, without your files | Rarely | Yes |
From prompt to production in an agentic terminal
"Prompt to production" means going from a plain-English request to code that is built, tested and ready to ship. Turning a prompt into code is easy now. Turning it into code you would put in front of real users is harder, because production means tested, reviewed and deployable. The steps in between are: understand the request, plan, build, test, review and ship. An agentic terminal helps with all six, and a person stays in charge of the review. Production-ready code is code a person has read.
A prompt that gets closer to production names the place, the limits, the tests and the finish line: "Add email and password login to the app in server/. Add tests for a correct password, a wrong password and a missing user. Done means npm test passes."
When should you use an agentic terminal?
Use one when a task has many steps: a feature across several files, a refactor, a dependency upgrade, a bug you need to reproduce before you fix it, or a folder of documents to sort and summarise. For a one-line question, a chat is still faster. Start small, keep approvals on, and read the diff before you commit.
FAQ
What is an agentic terminal? A terminal where AI agents plan a task, run commands, edit files and test the result, under approvals you set.
Is an agentic terminal an agentic coding workspace? Yes, the terminal-based kind. The agents work where your builds, tests and git already run, and Mel adds a VS Code extension for the editor side.
Can an agentic terminal take a prompt to production? It can take most of the steps: plan, build, test and ship. A person should still review the change and decide when it ships.
Will the agents change files without my permission? That depends on the approvals you set. In Mel you configure which commands and edits need your yes.
Which AI models does Mel use? Claude, GPT, Gemini, DeepSeek and Qwen. Bring your own API key, or use the hosted credits on Pro or Max.
Is Mel free? Yes, with your own API key, on Mac, Windows and Linux. Pro and Max add hosted credits.
Mel – the agentic terminal · openmel.dev. A multi-agent, multi-model AI terminal for Mac, Windows, Linux and VS Code. Free with your own API key.
Lalla is a hands-on tech founder, agentic infrastructure architect and the vision behind Mel.
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