Agents vv1.1.1 2026 Rank: #1526

Vivgrid ✓

The confident path for AI agents.

Source rating 5.0 (4) 2.8k views 20 saves 1 comments Freemium
More categories (4)

Free + from $25/mo

Verdict

A quick read before you dig into the full page.

Best if
The confident path for AI agents
Skip if
Limited context-aware memory retrieval
Pick this when
Real-time debugging

Considering Younet instead? Compare side by side

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.

Vivgrid website

Access & connections

Where you can use Vivgrid.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular

Output

  • Tabular
  • API

Pros & cons

Pros

  • Real-time debugging
  • Global GPU network
  • Latency tracking
  • Cost tracking
  • Real-time metrics
  • Low latency global delivery
  • Reliable scale
  • Visibility into prompts
Show 23 more
  • 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

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
Show 2 more
  • Console only login
  • Undisclosed cost structure

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Releases 3

Vivgrid v1.1.1 Jan 29, 2026 Current

Clawdbot is taking the internet by storm. Here is free LLM API for clawdbot agents.
If you’re still struggling with high token usage, Vivgrid is worth a look.
The latest version of Vivgrid offers free LLM API access for Clawdbot developers,
with support for models like GPT-5.2 and Gemini 3 Pro — so you can build and experiment without worrying about costs.
https://vivgrid.com/docs/tutorial/clawdbot

Vivgrid v1 Oct 3, 2025

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

Initial release September 26, 2025
Initial release of Vivgrid.

Imported reviews 1

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xiansheng shi Sep 28, 2025 v@ initial release

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

FAQ 12

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.
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.
Vivgrid Free + from $25/mo