Numa vs ChatGPT

Same models. A different kind of companion.

Ask ChatGPT or Numa to draft a letter, sort a folder or explain a contract, and both will do it. A power user can get the same task out of either.

So this page does not pretend Numa can do things ChatGPT cannot. It explains what Numa was built around, and why that matters more as the months go by.

The model is not the product

The intelligence comes from the model, and the models are the same for everyone. Numa does not hide this: you pick the model you want to run, from any of the major labs, and switch it when a better one appears. Everything above the model is the harness, and the harness decides what that intelligence becomes: how much it costs, how long it takes to answer, what it still knows about you in March that you told it in September, and whether it learns from being corrected.

That is where Animiste put its years. Not into another chat window, but into the primal building block that the model does not have on its own: memory.

Knowing you is the feature

A model's context has a limit. Every tool that re-reads the conversation reaches that limit and then has to summarise, and summaries forget. You feel this as a slow worry: will it still remember? Did it quietly drop the thing I said last week?

Numa's conversation is not bounded by the model's window, because Numa remembers instead of re-reading. In our five-conversation test, each 340 to 356 messages over months, what Numa carried per message stayed about the same from the first week to the last, and it kept 90 to 96% of the small details we planted and asked for later. The same conversations through OpenAI's own agent, Codex, set up the way a heavy user runs it, cost 12.2 times more and kept 93%; two blind judges preferred Numa's answers to Codex's. Full results: the 6 October note (/news/1.5.8).

The point is not the bill. The point is what that makes possible: a conversation that can last years, with an assistant that knows you better in the second year than in the first. You do not explain your goals to your mother every time you call. Numa is built so that, over time, you stop explaining.

An intern, not an oracle

Agents sound powerful: hand over the task, get the result. In practice the first result is rarely what you wanted, because the agent did not know what you like, why the last attempt was bad, or what you meant to do next.

Numa is built like a good intern. It asks when it should ask. It makes mistakes, and when you correct one it keeps the correction. It writes up what it did so you can see where it went wrong. The product gets better in your hands, not only in ours. This is slower on day one and much faster on day ninety.

One thing at a time

Numa does not try to run fifty sessions at once. A person is valuable when their attention is in one field; an assistant is the same. Numa is for scoped work done well, inside the apps and files you already use, with you in the loop. If you want a swarm, there are tools for that; this is not one of them.

What Numa also brings

Everything ChatGPT does well, Numa can do too, with the model of your choice. On top of that it lives on your desktop and can act there: your apps, your files, browser sessions you are already logged into, a workflow you recorded once, scheduled runs and watchers that work while you sleep, a canvas for thinking side by side, voice, and a phone app to follow what is running.

Side by side, honestly

As of October 2026; competitor features change often, check their pages.

Bottom line

Use whichever model you trust. The question is what is around it. ChatGPT gives you a strong model behind a chat. Numa gives you the same strong model behind an assistant that remembers you, learns from you, and works beside you on your own machine, one thing at a time.

Suggested internal links:

• /desktop-ai-agent
• /computer-use-ai
• /news/1.5.8
• /compare/manus