sno-station
Integrate multiple AI agents into a unified team that shares memory and collaborates seamlessly.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Views
- 4
- Source
- GitHub
- Added
- 2026-10-30
- Last verified
- 2026-10-30
Overview
Sno Station is an open-source tool that unifies your existing AI agents—such as Codex, Claude Code, Cursor, Hermes Agent, and OpenClaw—into a cohesive team. These agents share an encrypted memory pool, pass tasks among themselves, review each other's work, and perform self-improvement through nightly learning cycles. It runs entirely on your local machine, requiring no additional servers or background processes. After installation, you can continue using your current workflow—simply type `Sno onboard` in any supported agent to get started.
Key features
- ▪Multi-agent collaboration
- ▪Shared encrypted memory pool
- ▪Automatic task handoff and review
- ▪Nightly self-learning
Use cases
Pros
- ＋Boosts productivity
- ＋Reduces redundant work
- ＋Enhances agent capabilities
- ＋Protects data privacy
Limitations / notes
- －Requires internet connection
- －Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, Sno Station is open-source and free.
Does it support Chinese?
Yes, documentation is available in Chinese.
Do I need scientific internet access?
No, it runs locally on your computer.
Can it be used commercially?
Yes, the open-source license allows commercial use.
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