arvis

A terminal agent that shows its work.

It holds a conversation, runs tools with your permission, and writes every turn to a journal on your machine. One process — no daemon between the prompt and the model.

curl -fsSL https://arvis.different.productions/install.sh | bash

macOS 26 or newer · any OpenAI-compatible endpoint

  you
  add a --json flag to the status command and cover it with a test

  arvis
  I'll find the command first, then add the flag and a test.

  - Explored 3 files, ran 1 command

  - Ran swift test --filter StatusCommandTests                     4.1s

  arvis
  Added `--json` and a test asserting the encoded shape. Both pass.



  --------------------------------------------------------------------
  > _
  --------------------------------------------------------------------
  Qwen3.5-9B-8bit | 118.6K used | n/a | 2 comp | 15m

The conversation scrolls. The composer and status bar do not.

What you get

Nothing runs without you saying so

When the model wants to run a command, it appears above your composer with the command in full. The menu is built from what that tool permits — a tool that refuses to be permanently trusted never offers the key that would do it.

  ? shell
      rm -rf .build/release
      [Enter] run once  [c] full command  [Esc] deny  [text] deny with a reason

Type a sentence instead of pressing a key and that becomes the reason the model is given — so it can take a different route rather than retrying the same one blind.

It asks your endpoint what it serves

/model lists the models your endpoint actually has loaded and marks the one you're on. No identifiers to look up, and nothing to guess at install time.

Your conversation is yours

Every message, every stream event and every turn's token usage is journaled to ~/.arvis/arvis.sqlite as it happens. The transcript you read is read back out of that journal, not kept beside it — so what you saw and what was recorded cannot drift.

Point it anywhere

Any server speaking the OpenAI API: an Exo cluster on your own machines, mlx_lm.server, LM Studio, or a hosted provider. Set the host once; arvis works out the rest.

Install

curl -fsSL https://arvis.different.productions/install.sh | bash

checksummed before it installs · nothing runs until you say so

Then run arvis. It writes no configuration file you have to go and correct.