Numa vs Claude
Same models. A different kind of companion.
Ask Claude 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. If a comparison page tells you otherwise, it is comparing an old Claude, or it is selling.
So this page does not pretend Numa can do things Claude 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 can run Anthropic's models inside Numa, pick another lab's when it suits the task, and switch 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, with the same Anthropic model inside both, what Numa carried per message stayed about the same from the first week to the last, and it kept 90% of the small details we planted and asked for later. Claude Code, which re-reads the whole conversation until it has to summarise, cost 8.6 times more and kept 63%: between 90 and 97% in the two conversations where it summarised once or never, and between none and 68% where it summarised four times or came back cold after many breaks. On answer quality two blind judges from different labs split, one each way. 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
Claude Code can fan a task out to sub-agents and run many at once. Numa deliberately does not. 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, Claude has one; this is not that.
What Numa also brings
Everything Claude 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.
| Feature | Claude | Numa |
|---|---|---|
| Models you can run | Anthropic's | Your choice, Anthropic's included, switchable mid-conversation |
| Memory across chats | Yes | Yes, and measured: 90% of planted details kept after 340+ messages, same model inside both |
| Conversation length | Bounded by the model's window, then summarised | Not bounded by the window |
| Learns from your corrections | Partly | Built around it |
| Acts on your computer | Yes, in its own ways | On your real desktop, your apps, your logins |
| Learns a workflow by watching you | No | Yes, by recording |
| Runs on a schedule, watches for changes | Limited | Yes |
| Voice | Yes | Yes |
| Canvas | Yes | Yes |
| Parallel sub-agent swarms | Yes | No, by design |
Bottom line
Use whichever model you trust; Numa will run it. The question is what is around it. Claude gives you a strong model behind a chat and a capable coding agent. 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