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What you can do with Sno Station

Sno Station is an open source tool that runs on your computer and lets Codex, Claude Code, Cursor, Hermes Agent and OpenClaw share one encrypted memory, hand work to each other, review each other's work, and run an overnight Self Learning step.

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sno-ai/sno-station on GitHub

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What do you want to do?

4 use cases

  • Hand off a half-finished task when one agent hits its limit

    Another agent picks up the same task from shared memory with context intact.

    View prompt
    In the sno-station repository, use `sno reach call` to hand the current task from the agent at <placeholder> to the other agent. Expected output: the receiving agent restates the task and the last completed step from shared memory. Verify it does not restart the task from the beginning.

  • Get a code review from a different agent

    Ask one agent to review another agent's work, so the reviewer does not share its habits.

    View prompt
    In the sno-station repository, ask the <placeholder> agent to peer-review the latest changes made by the other agent. Expected output: a review written by the reviewer, not the author. Verify that the reviewer names the specific files and lines it checked.

  • Review the skill changes Self Learning proposes each morning

    Read the nightly proposals and accept only the ones you want applied to your agents' skills.

    View prompt
    In the sno-station repository, review the proposals from the last Self Learning run and accept only the ones I approve using `sno rem-reflect accept`. Expected output: a list of accepted and rejected proposals. Verify that no skill changed for a proposal you did not accept.

  • Add Cursor to a shared memory with Codex and Claude Code

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

    View prompt
    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.

How to use Sno Station

  1. Check you have what it needs: 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.
  2. Open sno-ai/sno-station on GitHub and read the README and license.
  3. Run sh -c 'sno_installer_body=$(curl -fsSL https://sno.ai/install) && printf "%s\n" "$sno_installer_body" | sh' in a terminal.
  4. In any supported agent conversation, say Sno onboard and follow the walkthrough.
  5. When the first agent hits its cap, say sno reach call from the other agent.
  6. Confirm the second agent reports the task and the prior context from the shared memory.

These steps come from our top use case, Hand off a half-finished task when one agent hits its limit, which also has a copy-paste agent prompt.

Sno Station alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and power users who already run two or more AI coding agents side by side and want them to share context and check each other's work.
  • Why it is hot
  • LanguageTypeScript
  • Sourcegithub.com/sno-ai/sno-station · Back to Hot repos

Requirements

  • 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
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Questions about Sno Station

What is Sno Station?

Sno Station is an open source tool that runs on your computer and lets Codex, Claude Code, Cursor, Hermes Agent and OpenClaw share one encrypted memory, hand work to each other, review each other's work, and run an overnight Self Learning step. It is an open-source project on GitHub: https://github.com/sno-ai/sno-station.

Who is Sno Station for?

Developers and power users who already run two or more AI coding agents side by side and want them to share context and check each other's work.

What can I do with Sno Station?

4 use cases so far, for example: Hand off a half-finished task when one agent hits its limit; Get a code review from a different agent; Review the skill changes Self Learning proposes each morning. Each has steps and a copy-paste agent prompt.

What do I need to run Sno Station?

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.

What are alternatives to Sno Station?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Sno Station safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.