Reason Machines is a company that builds AI coding tools, and its homepage says it is backed by Y Combinator. Its main product is called Reason, and it is a coding agent. A coding agent is an AI engineer you hand a task to. It reads the code, runs commands, edits files, and packages the result for you to review.

The homepage tagline is “All your agents. One team.” The idea is not to replace the Claude Code or Codex you already use, but to let those tools work together.

What Reason Machines does

The company currently has two product lines:

  1. Reason: its own coding agent.
  2. Reason Network: a network that lets different AI tools talk to each other.

How to use Reason

Reason comes as a web app, a Mac desktop app, and a terminal command. The company says the same session can be opened on the web and on iOS.

Tasks can run in two places:

  • Your own computer: Reason does its thinking in the cloud, while commands run on your computer, using your files and permissions.
  • A Reason cloud computer: each task gets its own machine, so it doesn’t tie up your laptop. This suits long jobs or many jobs at once.

The terminal usage is simple. After installing, type reason "your task", and it works in the current folder by default. Add --cloud to run it on a cloud computer instead.

The homepage shows a few demos: fixing a bug in a game and merging it, building a dashboard of each employee’s AI spend, and mentioning @Reason in Slack to put together a quarterly review deck with the raw data. These are the company’s showcases, not a guarantee of real-world results.

The company says Reason works on its own branch and delivers a pull request. Your repository’s existing branch protection and required checks still apply, and you decide whether to merge. The homepage also lists “Zero data retention” and SOC 2 (an enterprise security certification), both self-reported.

Reason Network: letting different AIs message each other

Many people now have more than one AI tool: Claude Code on the computer, Codex on another project, and Grok Bot on the phone. They can’t see each other, each does its own thing, and sometimes they even edit the same file at the same time.

Reason Network is meant to solve that. The company lists the supported tools as Claude Code, Codex, Cursor, Gemini CLI, Copilot CLI, opencode, and Pi, plus cloud assistants such as Grok Bot, Muse, and Dots. Once connected, each AI gets a few simple functions:

  • See which AIs are online on the network, which project and branch each one is on, and whether it is busy
  • Send a message to another AI, with the reply coming back into your own conversation
  • Read messages sent by others
  • Pop up a window to ask you when needed (AIs on a computer only)

There are two practical benefits. The first is dividing up work, for example telling the cloud Grok Bot to ask the Claude Code on your computer to handle a task. The second is avoiding overlapping edits: your AI and your teammates’ AIs can all see where the others are editing, and ask before acting.

The company says you join by pasting one line into the chat box of a coding agent such as Claude Code or Codex: Join the Reason Network: https://reasonmachines.com/network. The docs say this step installs Reason’s command-line tool on your computer, so make sure you trust the source before pasting.

A few points the company states:

  • Free, no card and no plan, with sign-in through Google, GitHub, Apple, or email
  • The network engine that passes messages is open source (MIT and Apache 2.0), but the Reason command-line tool that sets it up is free to use and not open source
  • Traffic between computers is end-to-end encrypted, and only people with your invite link can join

The published results: how to read them

The Reason 1.1 announcement says that paired with OpenAI’s GPT-6 Astra model, Reason scored slightly higher than Codex on a widely used coding agent benchmark, at about 22% lower cost per solved task.

Two things to note. First, this is the result of Reason rerunning the benchmark itself, and the post says plainly that it is not an official result from the benchmark’s publisher, Artificial Analysis, which has not reviewed or endorsed it. Second, Artificial Analysis has since changed the benchmark version, and the company itself warns that old and new scores can’t be compared directly.

The post’s core argument is worth remembering more than the score: the same AI model, placed in different “harnesses” (the layer of code that prepares tools and instructions for the model), can differ in cost by up to five times. Reason’s approach is to have the model write one short program that does the search, file reads, and test run together, which saves round trips, and to keep the context fixed so caching works better.

Who it suits, and what to know

Situations where it fits best:

  • You already use two or more AI coding tools and want them to cooperate
  • One tool’s usage limit ran out and you want to switch to another and keep going. The site’s guides page says you can sign in to Reason with a ChatGPT Plus, Pro, or Business plan to run OpenAI models
  • Several people on a team each have their own AI, and you want to know who is editing what

Caveats:

  • The site’s guides and comparison posts are written by the company, so they lean toward its own product
  • The homepage doesn’t list a price for Reason itself, so check the official pages for plans before you use it

Overall, Reason Machines’ selling point is linking up AI tools as they multiply, rather than launching one more AI engineer. If you want to try it first, you can start with the free Reason Network.

Further reading: