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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Ambient Mesh is a modern service mesh architecture designed to eliminate the complexity of traditional sidecar-based approaches. It secures, observes, and connects cloud-native workloads with minimal intrusion and resource consumption. Ambient Mesh delivers zero-trust security using workload identity, encryption, and automated certificate management. Teams gain deep visibility into traffic flows through distributed tracing, logs, and performance metrics. Advanced traffic control features support safe deployments, intelligent routing, and seamless failover. The platform improves resilience with circuit breaking, zone-aware load balancing, and retry policies. Ambient Mesh enables organizations to migrate existing sidecar workloads with zero downtime. A free migration tool provides automated analysis and step-by-step guidance. This approach reduces operational risk while maintaining compliance and control. Ambient Mesh simplifies service mesh adoption while lowering infrastructure costs.

Description

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Kubernetes Yes 
Solo Enterprise Yes 
Amazon EKS Yes 
Azure Kubernetes Service (AKS) Yes 
Cilium Yes 
Claude No 
Envoy Yes 
Google Cloud Platform Yes 
Google Kubernetes Engine (GKE) Yes 
Grafana Cloud No 
GraphQL Yes 
Helm No 
Hubble Yes 
Istio Yes 
Microsoft Azure Yes 
Midjourney No 
Model Context Protocol (MCP) No 
Prometheus No 
Splunk APM Yes 
kgateway Yes 

Integrations

Kubernetes Yes 
Solo Enterprise Yes 
Amazon EKS No 
Azure Kubernetes Service (AKS) No 
Cilium No 
Claude Yes 
Envoy No 
Google Cloud Platform No 
Google Kubernetes Engine (GKE) No 
Grafana Cloud Yes 
GraphQL No 
Helm Yes 
Hubble No 
Istio No 
Microsoft Azure No 
Midjourney Yes 
Model Context Protocol (MCP) Yes 
Prometheus Yes 
Splunk APM No 
kgateway No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Ambient Mesh

Founded

2017

Country

United States

Website

ambientmesh.io

Vendor Details

Company Name

kagent

Country

United States

Website

kagent.dev/

Product Features

Product Features

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Alternatives

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