sno-station
Turn the agents you already use into a squad. Codex, Claude Code, Cursor, Hermes Agent and OpenClaw use one encrypted memory, pass work to each other, review each other's work, and dream every night to wake up a little better. Open source. Runs on your computer.
No outside reports on file
The main risk is that multiple AI agents sharing memory and control could amplify mistakes or accidents—if one agent is fooled or compromised, it might influence the others.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (sno-ai/sno-station)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/sno-ai/sno-station ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Sno Station
Sno-station lets multiple AI agents work together as a team by sharing encrypted memory and passing tasks between each other. The agents can review each other's work and learn from their experiences over time. It runs locally on your computer and works with tools like Claude, Cursor, and others.
Who it’s for
Developers and teams who use multiple AI coding assistants and want them to collaborate and remember past work. People who want AI agents running on their own machine rather than relying on external services.
Alternatives
- OpenAI Swarm (Python framework for multi-agent systems with clear control flow)
- LangGraph (tool to build and run multiple connected AI agents with defined workflows)
- AutoGen (Microsoft framework for agents that talk to each other with human oversight)
- CrewAI (agent framework focused on role-based teams with specific job descriptions)
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub for installation and configuration instructions. The project is open source, so setup steps may vary based on which agents you want to connect.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.1k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Shared encrypted memory could be accessed if someone gains local computer access or finds encryption keys
- Agent coordination means if one agent is tricked into doing something bad, it might teach other agents the same mistake
- Local file access: Agents working together might read or modify files more broadly than you intended
- No clear audit trail: With multiple agents passing work around, it may be hard to track who did what
- Third-party agent vulnerabilities: Security depends on each connected AI tool (Claude, Cursor, etc.) being trustworthy
How to lower the risk
Least-privilege permissions
- Only connect agents that truly need to collaborate
- Limit file system access to specific project folders, not your whole computer
Network isolation
- Run on a machine with a firewall or isolated network when possible
- Keep agents offline unless they need external API calls
Monitoring
- Regularly check logs to see what tasks agents are passing between each other
- Review any files or code that agents have modified
Red flags to watch for
- One agent suddenly doing things outside its normal role
- Encrypted memory growing unusually large or quickly
- Agents creating new files or modifying system settings
Questions
How do I install Sno Station?
Sno Station does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/sno-ai/sno-station.
Are there security reports about Sno Station?
No reports found for this package in our research (last checked 2026-10-30). Sno Station currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include shared encrypted memory, agent coordination, local file access.
Is Sno Station actively maintained?
Sno Station has 1.1k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/sno-ai/sno-station before pinning it in production.
What are alternatives to Sno Station?
Notable alternatives to Sno Station include OpenAI Swarm, LangGraph, AutoGen, CrewAI. You can also compare Sno Station side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Sno Station? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/sno-ai-sno-station)HTML embed:
<a href="https://agentarmorhq.com/skills/sno-ai-sno-station"><img src="https://agentarmorhq.com/api/badge/sno-ai-sno-station" alt="AgentArmorHQ Risk Grade for Sno Station" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "sno-ai-sno-station"Share with your security lead
Need sign-off to use sno-station? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: sno-station
- **Listing URL:** https://agentarmorhq.com/skills/sno-ai-sno-station
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.1k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (sno-ai/sno-station)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/sno-ai/sno-station
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- sno-ai
- Source code
- github.com/sno-ai/sno-station
- Est. context load
- ~92 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 1.1k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-24
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