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Vivgrid

The confident path for AI agents.

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October 3, 2025

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Vivgridv1

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The confident path for AI agents.

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Overview Discussion 1

Overview

Vivgrid is an AI infrastructure platform designed to assist developers and startups in creating, testing, and deploying AI agents. The tool has several distinctive features including AI observability, debugging, testing, and evaluation capabilities.

It also boasts a global GPU network for AI deployment, giving developers the opportunity to track latency, cost, and other vital metrics in real time.

This robust infrastructure allows global delivery with low latency and reliable scale. Another core component of Vivgrid is it assists users to observe and debug AI agents by providing comprehensive visibility into prompts, API calls, memory fetches, and tool usage.

Developers can also track agent reasoning chains to better comprehend why the AI agents are succeeding or failing, enabling faster debugging of errors.

Vivgrid automates performance scoring and quality checks and provides the ability to conduct human-in-the-loop evaluations before production. Safety mechanism like refusal rules and content filters can also be enforced as part of Vivgrid's features.

The tool also incorporates provisions for orchestrating multi-agent workflows and adding context-aware memory retrieval. In essence, Vivgrid seeks to streamline the process from prototype to production, aiming for developers to build resilient AI systems.

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Vivgridv1

VivgridInitial

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Vivgrid v1

Oct 3, 2025

Eleanor

wrote:

A new tracing feature has been released to help you observe and analyze AI agents’ responses.

Initial release

September 26, 2025

Eleanor

wrote:

Initial release of Vivgrid.

Eleanor

@eleanor94

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2karma

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Joined: September 2025

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Comments(1)

xiansheng shi

🙏 12 karma

Sep 28, 2025

@ initial release

Rated it

@Vivgrid

Really smooth experience with Vivgrid, makes taking agents to production way easier.

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Pros and Cons

Pros

Real-time debugging

Global GPU network

Latency tracking

Cost tracking

Real-time metrics

Low latency global delivery

Reliable scale

Visibility into prompts

Visibility into API calls

Visibility into memory fetches

Visibility into tool usage

Agent reasoning chains tracking

Faster debugging of errors

Automated performance scoring

Automated quality checks

Human-in-the-loop evaluations

Enforceable safety mechanisms

Content filters

Multi-agent workflows orchestration

Context-aware memory retrieval

Supports prototype to production

Inference under 50ms

Monitor live agent behavior

Compose smart agents

Stateful memory for agents

Intelligent systems designer

Dynamic task routing

$200 free credits offer

Built for developers

Suitable for startups

No infra expertise required

View 26 more pros

Cons

Not open-source

May have high latency

Limited multi-agent orchestration

No prominent Infrastructure expertise

Lacks certain safety mechanisms

Limited context-aware memory retrieval

Dependent on global GPU network

No offline debugging options

Console only login

Undisclosed cost structure

View 5 more cons

Q&A

What is Vivgrid?

Vivgrid is an AI infrastructure platform that assists developers and startups in creating, testing, and deploying AI agents.

What distinctive features does Vivgrid offer?

Vivgrid offers distinctive features such as AI observability, debugging, testing, evaluation capabilities, global GPU network for AI deployment, tracking of latency, cost, and other vital metrics, and a suite of features for developers to observe and debug AI agents. Additionally, Vivgrid automates performance scoring and quality checks, provides the ability to conduct human-in-the-loop evaluations before production, and enforces safety mechanisms like refusal rules and content filters.

What benefits does the global GPU network on Vivgrid provide for developers?

The global GPU network on Vivgrid allows developers to deploy AI agents globally with low latency, track latency, cost, and other vital metrics in real time, and monitor live agent behavior with confidence.

How does Vivgrid assist in observing and debugging AI agents?

Vivgrid assists users to observe and debug AI agents by providing comprehensive visibility into prompts, API calls, memory fetches, and tool usage. It also enables developers to track agent reasoning chains to better comprehend why the AI agents are succeeding or failing, enabling faster debugging of errors.

Can developers track agent reasoning chains with Vivgrid?

Yes, developers can track agent reasoning chains with Vivgrid to understand why the AI agents are succeeding or failing.

Does Vivgrid have any provisions for automating performance scoring and quality checks?

Yes, Vivgrid automates performance scoring and quality checks to ensure that the AI agents meet the required standards.

+ Show 14 more

How does Vivgrid facilitate human-in-the-loop evaluations?

Vivgrid provides the ability to conduct human-in-the-loop evaluations before production. This ensures that the AI agents function as expected when they interact with humans.

Are there any safety mechanisms like refusal rules and content filters on Vivgrid?

Yes, Vivgrid enforces safety mechanisms like refusal rules and content filters to ensure that the AI agents operate within safe and acceptable parameters.

Does Vivgrid provide any features for workflow orchestration?

Yes, Vivgrid provides features for orchestrating multi-agent workflows. This allows developers to design intelligent systems that can route tasks dynamically.

How does Vivgrid help in context-aware memory retrieval?

Vivgrid assists in context-aware memory retrieval by allowing developers to add this feature to the AI agents. This enables the AI agents to remember and reason.

How does Vivgrid streamline the process from prototype to production?

Vivgrid streamlines the process from prototype to production by providing comprehensive features for observing, debugging, testing, evaluating, and deploying AI agents. It also provides the infrastructure for a global GPU network, performance scoring, quality checks, and other capabilities.

How does Vivgrid help developers build resilient AI systems?

Vivgrid helps developers build resilient AI systems by providing an exhaustive suite of features such as AI observability, debugging, testing, and evaluation capabilities. It also assists developers in tracking agent reasoning chains, automates performance scoring and quality checks, and provides a global GPU network for AI deployment.

What kind of real-time metrics can developers track with Vivgrid?

Developers can track real-time metrics such as latency, cost, and usage on Vivgrid's global GPU network.

How does Vivgrid achieve low latency and reliable scale in its global delivery?

Vivgrid achieves low latency and reliable scale in its global delivery by using a global GPU network to deploy AI agents. This robust infrastructure allows global delivery with less than 50 ms inference.

Is Vivgrid suitable for startups?

Yes, Vivgrid is suitable for startups as it provides a comprehensive infrastructure and set of features to assist in the creation, testing, and deployment of AI agents.

How can Vivgrid be used for orchestrating multi-agent workflows?

Vivgrid can be used for orchestrating multi-agent workflows by offering features that enable developers to design intelligent systems that can dynamically route tasks.

Does Vivgrid offer any features to understand why AI agents are succeeding or failing?

Yes, Vivgrid offers features that allow developers to track agent reasoning chains to uncover why agents succeed or fail.

What kind of visibility does Vivgrid provide into prompts, API calls, memory fetches, and tool usage?

Vivgrid provides comprehensive visibility into prompts, API calls, memory fetches, and tool usage, offering developers a clear understanding of how their AI agents are functioning.

How does Vivgrid deal with latency tracking and cost tracking?

Vivgrid deals with latency tracking and cost tracking by providing real-time metrics on its global GPU network, enabling developers to keep tab on latency, cost and usage metrics.

Can Vivgrid be useful in building, testing, and deploying AI agents?

Yes, Vivgrid is useful for building, testing, and deploying AI agents as it offers a multitude of features including AI observability, debugging, testing, evaluation capabilities, and a global GPU network for AI deployment.

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