yomorun/yomo
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
What it solves
YoMo is designed to build scalable, ultra-fast AI agents by providing a framework for LLM function calling. It specifically addresses the latency issues associated with centralized data centers by enabling a geo-distributed architecture that brings AI inference and tools closer to theend user.
How it works
YoMo operates as a serverless framework for LLM tools and skills. It allows developers to initialize, deploy, and manage these tools seamlessly via a CLI. The system supports integration with LLM providers like Ollama and uses TLS v1.3 encryption for secure data transmission across its distributed network.
Who it’s for
It is intended for developers building AI agents that require high responsiveness, global scalability, and robust security for customer-facing AI interactions.
Highlights
- Geo-Distributed Architecture: Reduces response times by distributing AI inference and tools globally.
- Serverless LLM Tools: Simplifies the deployment and management of agent skills.
- Agent DevOps: Streamlines the tool lifecycle from development to deployment to reduce operational overhead.
- Enhanced Security: Implements TLS v1.3 encryption by design for all data packets.
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