yomo
YoMo is a serverless AI agent framework supporting geographically distributed architectures.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.9k
- Source
- GitHub
- Added
- 2026-06-16
- Last verified
- 2026-06-16
- GitHub
- github.com/yomorun/yomo

Overview
YoMo is an open-source LLM function calling framework for building scalable and ultra-fast AI agents. It focuses on speed, reliability, and scalability by bringing AI inference and tools closer to users through a geographically distributed architecture, significantly improving response times and user experience. With YoMo, developers can easily deploy and manage LLM tools/skills, benefiting from enhanced security and simplified DevOps workflows. Ideal for developers building fast-response and high-performance AI applications.
Key features
- ▪Serverless LLM tools
- ▪Enhanced security
- ▪Simplified agent DevOps
- ▪Geographically distributed architecture
Use cases
Pros
- +Fast response time
- +High security
- +Easy deployment and management
- +Supports multiple LLM providers
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, YoMo is an open-source project and can be used freely.
Do I need scientific internet access?
No, but certain LLM providers may require access to specific APIs.
Does it support Chinese?
Documentation and examples are primarily in English, but it can process multilingual data.
Can it be used commercially?
Yes, but must comply with the relevant licensing agreements.
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