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How to add Cursor to a shared memory with Codex and Claude Code with Sno Station

Connect Cursor so its chats use the same memory, skills and review flow as your other agents.

Remote script. The install command downloads a script from sno.ai and runs it in your shell, so review it first if you do not trust the source.

Who it is forA developer on Linux or macOS who already uses Codex or Claude Code and also works in Cursor's agent chat or command line.

The problemCursor starts each chat without the context and skills that the other agents on the same machine already use.

The outcomeCursor reads the shared skills, its prompts are remembered, and it can take over or be reviewed like the other agents.

What you need first

  • A Linux or macOS computer with a terminal (Windows is not supported for Cursor, and the README does not describe Windows support for the rest)
  • At least two supported agents installed, such as Codex and Claude Code
  • A terminal or shell that can run the install command
  • Optional: a free sno.ai account to link the computer

Steps

  1. Run cursor-agent login once in a terminal.
  2. Run sh -c 'sno_installer_body=$(curl -fsSL https://sno.ai/install) && printf "%s\n" "$sno_installer_body" | sh' to install Sno and connect the agents it finds.
  3. If you installed another agent later, run sno setup again.
  4. Open a Cursor chat and send a prompt, then confirm it shows the shared brief for the repository.

Prompt for your agent

In the sno-station repository, start a Cursor chat on a Linux or macOS machine and ask it to summarise the shared memory for <placeholder>. Expected output: a short summary that reflects work done in another agent. Verify that the answer mentions context not visible in the Cursor chat alone.

Caveat. The README says Windows, the Cursor app on Linux and Cursor cloud agents are not supported, and in the Cursor app the brief arrives with the first prompt of a new window.

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