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YOMO
Serverless AI agent framework with edge infrastructure
Apache-2.0
ABOUT
Building real-time AI agents that respond to streaming data — sensor feeds, market events, user interactions — typically requires connecting LLM function calling to complex event pipelines with high latency. YoMo solves this by providing a serverless streaming runtime purpose-built for AI agents: developers write simple function-calling patterns that the framework connects to geo-distributed edge infrastructure for sub-millisecond data access. Agents can react to real-world events, process streaming data, and trigger actions across distributed locations without managing Kafka, Flink, or other stream-processing infrastructure.
INSTALL
curl -fsSL https://get.yomo.run | shINTEGRATION GUIDE
1. Build real-time AI agents that react to live data streams (market prices, IoT sensors, user events)
2. Deploy geo-distributed AI inference at edge locations for sub-millisecond response times
3. Create streaming LLM function-calling pipelines that process and respond to continuous data
4. Connect AI agents to real-time data sources without managing Kafka or stream-processing infrastructure
5. Build location-aware AI applications that process data and make decisions at the network edge
TAGS
agentsserverlessedgestreamingfunction-callingllmrustreal-time