Vivgrid
AI agent build and deployBuild and ship AI agents safely
Highlights
What you can do with it
- Developers build and debug a customer service AI agent
- Startups deploy a multi agent collaboration system
- Researchers track and analyze agent reasoning chains
How to use it
- 1 Sign up for early access on the Vivgrid site to get the free credit
- 2 Log in to the console and choose an LLM such as the OpenAI or Claude API
- 3 Build your agent and use observation and debugging to tune it
- 4 Run evaluation and safety checks before going live
- 5 Deploy on the global GPU network and monitor latency and cost
Who it is for
Pros
- Covers observing, debugging, evaluating, and deploying in one place
- Global GPU network targets low latency and reliable scaling
- Early access includes a free credit to lower the starting cost
Limitations
- Early access stage, so features and availability may still change
- The free credit is limited and later use likely requires payment
- Building agents still requires real engineering and AI knowledge
What Vivgrid is
Vivgrid is an AI agent infrastructure platform designed for developers and startups. It addresses the gap between a working prototype and a production system by giving you tools to observe, debug, evaluate, test, and deploy AI agents. You can see the full reasoning chain, including prompts, API calls, memory retrieval, and tool usage, which makes errors easier to find. The platform runs on a globally distributed GPU network built for low latency and reliable scaling, so agents can handle real traffic. Early access is open with a free credit of $200 so teams can try it before committing.
What you can do with it
- Observe prompts, API calls, memory retrieval, and tool usage
- Debug agents step by step and track the reasoning chain
- Evaluate performance and apply safety rules before production
- Orchestrate multi agent workflows with context aware memory
- Deploy on a global GPU network and monitor latency and cost
Who it is for
- Developers who need observability and debugging for agents
- Startups that want a single path from prototype to production
- AI researchers who study agent decision making
- Teams that need low latency, globally deployed agents
What to watch out for
Vivgrid is in early access, so the feature set and availability can change as the platform matures. The $200 free credit is a starting allowance and ongoing use will likely require a paid plan, with pricing not fully spelled out in the source. Building and operating agents still demands real engineering and AI knowledge, so this is not a no code tool. Teams should confirm current terms, limits, and model support on the official site before planning production work.
FAQ
What is Vivgrid for?
It is infrastructure for building, observing, evaluating, and deploying AI agents, aimed at developers and startups.
Is there a free option?
Vivgrid offers early access with a free credit of $200. After that, use likely moves to a paid plan.
Which models can I use?
The platform supports LLMs such as the OpenAI API, Anthropic Claude API, xAI API, and Google Gemini API.
Why it is free
What the official page says： 免费额度免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
