Mel – the agentic terminal
The AI terminal for teams.
Learn · superintelligent coding agent
What would a superintelligent coding agent be?
Updated
A superintelligent coding agent would be an AI that plans, builds and checks software better than a team of expert engineers. No coding tool is one today, and any product that says it is should be read with care.
Mel – the agentic terminal is building toward that goal in the open, one step at a time. Mel is not superintelligent. What it has today is a team of AI agents that plans, builds, tests and ships work inside your terminal, under approvals you set. This page explains what the word means, what would have to be true, and how to judge the claim when you see it.
What "superintelligent" would mean for code
The word is used loosely. For a coding agent it would mean more than writing code quickly:
- It understands the whole system, not only the file in front of it.
- It plans like a lead engineer: splits the work, orders it, and knows what can run in parallel.
- It proves its work. It runs the build and the tests, reads the real output, and does not call a task done until a check passes after its last change.
- It knows when to stop. It asks a person when a step cannot be undone or the request is unclear.
- It gets better from your project, remembering decisions so it does not repeat mistakes.
Speed and fluent answers are not on that list. A model that writes confident code that does not run is not more intelligent, only faster.
Why a single model is not enough
Most of what goes wrong in agent work is not a lack of raw model power. It is lost context on long tasks, work that is never checked, and changes nobody reviewed. That is why the path toward a much more capable coding agent runs through the system around the model: several agents with separate roles, real checks, memory of the project, and a person in charge of what ships.
What Mel is building, and what it has today
Today, Mel has:
- A team of agents. A lead plans and assigns, and workers build and test their parts in parallel, each in its own pane.
- Checks before "done". Mel re-reads, builds and tests until a change works, not just until it looks done.
- Shared project memory, so a decision one agent makes is visible to the others.
- Model choice. Claude, GPT, Gemini, DeepSeek, Qwen and more, with auto routing per task.
- Configurable approvals, so you decide which commands and edits need your yes.
The goal is an agent that can be trusted with bigger and bigger pieces of work. Each step toward it has to be measured on real tasks, not claimed.
How to judge a "superintelligent" claim
| Question to ask | A weak sign | A strong sign |
|---|---|---|
| Does it check its own work? | It summarises what it meant to do | It runs the tests and shows the output |
| Can you see every change? | A summary only | A diff you can read |
| Can you control what it runs? | All or nothing | Approvals you configure |
| Does it say what it could not do? | Always reports success | Says what failed and why |
| Is the claim measured? | Adjectives | Results on named tasks |
FAQ
Is there a superintelligent coding agent today? No. Today's best coding agents are strong on many tasks and still need a person to review their work.
Is Mel a superintelligent coding agent? No. Mel is an agentic terminal with a team of AI agents. Building a far more capable coding agent is the goal it works toward.
What is a superintelligent terminal? The phrase is used for terminals with AI built in. There is no product category behind it; ask what the tool actually does, such as running agents, checking their work and asking before risky steps.
How do I try Mel's agents? Download Mel for Mac, Windows or Linux. It is free with your own API key, and 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.