yomorun
Vivgrid provides the managed infrastructure and observability tools needed to build, deploy, and monitor production-ready AI agents at scale.
At a Glance
- AI Developers
- Enterprise Software Teams
- Startups building agentic AI
- DevOps and Infrastructure Engineers
AI Tools by yomorun
(1)
YoMo
Serverless Edge AI Agent Framework
Discussions
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Latest News
Vivgrid Integrates with Microsoft Marketplace to provide AI Agent observability solutions.
Launch of Vivgrid v1.1.1 featuring enhanced evaluation tools for agentic workflows.
Vivgrid introduces 'AI Agent CCTV' for real-time monitoring of autonomous agents.
Vivgrid officially emerges from stealth as the managed infrastructure for YoMo-based AI agents.
Products & Services
Open-source serverless AI agent framework designed for building geo-distributed, low-latency streaming applications.
Managed skills platform for AI agents providing serverless LLM function calling, observability, and evaluation tools.
Real-time monitoring and observability tool for tracking AI agent actions, tool calls, and state transitions.
Market Position
Vivgrid positions itself as a specialized infrastructure layer for AI agents, competing with general-purpose observability tools like LangSmith by offering lower-latency geo-distributed streaming and 'CCTV' style monitoring.
Leadership
Founders
Yona Cao
Co-Founder at Vivgrid (Allegro Mesh Inc.). Experienced in product strategy, engineering, and marketing. Previously led the development of the YoMo open-source framework.
C.C. Fan (Fan Weixiao)
Co-Founder of Vivgrid and Maintainer of the open-source project YoMo. Over 10 years of experience in web development and 6 years in .NET and Windows programming. Focuses on low-latency streaming and AI infrastructure.
Executive Team
Yona Cao
Co-Founder
Product strategy and engineering lead. Founder of Allegro Mesh Inc.
C.C. Fan
Co-Founder & CTO
Technical lead and maintainer of YoMo framework. Expert in low-latency systems.
Founding Story
YoMo was started in 2019 by Yona Cao and C.C. Fan to address the need for low-latency, geo-distributed serverless computing at the edge. With the rise of Large Language Models, the team pivoted/expanded to build Vivgrid, focusing on the infrastructure and observability requirements of AI agents.
Business Model
Revenue Model
SaaS subscriptions (monthly/annual) and usage-based pricing for API calls and inference.
Pricing Tiers
Includes access to core observability features and limited AI agent calls (e.g., 1,000+ prompts).
Expanded usage limits, advanced debugging tools, and priority support for professionals and small teams.
Usage-based pricing for high-volume enterprise needs, including private cloud deployment options and dedicated support.
Target Markets
- AI Developers
- Enterprise Software Teams
- Startups building agentic AI
- DevOps and Infrastructure Engineers
- Enterprise customer support agents
- Multi-agent workflow orchestration
- Low-latency edge AI applications
- AI agent observability and debugging
- WasmEdge community
- Independent AI developers