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yomo

YoMo is a serverless AI agent framework supporting geographically distributed architectures.

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Platforms: WebAPI
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.9k
Source
GitHub
Added
2026-06-16
Last verified
2026-06-16
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

Weather information retrievalCustomer service chatbotsReal-time data analysisEdge computing applications

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

DevelopersEnterprise teamsAI researchers

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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