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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

TraceRoot.AI serves as an open-source, AI-driven observability and debugging platform that aims to assist engineering teams in swiftly addressing production challenges. By merging telemetry data into a unified correlated execution tree, it offers essential causal insights into failures. AI agents leverage this structured representation to summarize problems, identify probable root causes, and even propose actionable solutions or generate GitHub issues and pull requests. Users can engage in interactive trace exploration, featuring zoomable log clusters and detailed views on spans and latency, complemented by insights linked to the code itself. Additionally, lightweight SDKs for Python and TypeScript facilitate effortless instrumentation via OpenTelemetry, accommodating both self-hosted and cloud-based deployments. A key aspect of the platform is its human-in-the-loop interaction, which allows developers to influence the reasoning process by selecting relevant spans or logs, enabling them to validate the agent's reasoning with traceable context. This collaborative approach not only enhances debugging efficiency but also empowers teams with greater control over the issue resolution process.

Description

Vivgrid serves as a comprehensive development platform tailored for AI agents, focusing on critical aspects such as observability, debugging, safety, and a robust global deployment framework. It provides complete transparency into agent activities by logging prompts, memory retrievals, tool interactions, and reasoning processes, allowing developers to identify and address any points of failure or unexpected behavior. Furthermore, it enables the testing and enforcement of safety protocols, including refusal rules and filters, while facilitating human-in-the-loop oversight prior to deployment. Vivgrid also manages the orchestration of multi-agent systems equipped with stateful memory, dynamically assigning tasks across various agent workflows. On the deployment front, it utilizes a globally distributed inference network to guarantee low-latency execution, achieving response times under 50 milliseconds, and offers real-time metrics on latency, costs, and usage. By integrating debugging, evaluation, safety, and deployment into a single coherent framework, Vivgrid aims to streamline the process of delivering resilient AI systems without the need for disparate components in observability, infrastructure, and orchestration, ultimately enhancing efficiency for developers. This holistic approach empowers teams to focus on innovation rather than the complexities of system integration.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CAMEL-AI
Cerebras
ChatGPT
Claude
Cursor
DeepSeek R1
DeepSeek-V3
GPT-4.1
Gemini 2.5 Flash
Gemini 3 Deep Think
Gemini 3 Pro
Gemini 3.1 Flash-Lite
GitHub Copilot
Groq
JavaScript
Notion
OWL
OpenTelemetry
Slack
TypeScript

Integrations

CAMEL-AI
Cerebras
ChatGPT
Claude
Cursor
DeepSeek R1
DeepSeek-V3
GPT-4.1
Gemini 2.5 Flash
Gemini 3 Deep Think
Gemini 3 Pro
Gemini 3.1 Flash-Lite
GitHub Copilot
Groq
JavaScript
Notion
OWL
OpenTelemetry
Slack
TypeScript

Pricing Details

$49 per month
Free Trial
Free Version

Pricing Details

$25 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

TraceRoot.AI

Founded

2025

Country

United States

Website

traceroot.ai/

Vendor Details

Company Name

Vivgrid

Country

United States

Website

www.vivgrid.com

Product Features

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