kagentAn open-source framework enabling AI agents to automate Kubernetes operations.

4.6 (5)

Reviewed by Daniel Nikulshyn·Updated June 2026

Open Source Kubernetes AI Agents DevOps Automation Cloud Native Framework

Overview

Kagent enables AI agents to automate Kubernetes operations. It allows agents to be deployed, observed, and governed using familiar Kubernetes tools. kagent makes agents a first-class workload on Kubernetes, allowing them to be versioned as Kubernetes Custom Resource Definitions (CRDs) and reviewed in pull requests. This approach enables the use of existing Kubernetes tools to manage agents. The framework is open-source and built by the founders of Istio. It supports a variety of language and framework combinations, including Go and Python, and allows for the use of any large language model (LLM) provider. kagent provides robust security and observability features, including OpenTelemetry tracing, Prometheus metrics, and structured logs. It also supports multi-runtime support, agent-to-agent communication, and the ability to load knowledge from Git repositories. Overall, kagent provides a powerful and flexible framework for automating Kubernetes operations with AI agents.

Key features

Agent Substrate for fast startup and efficient resource usage
Zero-trust ready with mTLS and fine-grained RBAC
Persistent vector-backed memory for long-term memory
Human-in-the-loop tool approval gates and agent-initiated questions
Agent-to-agent (A2A) delegation for composing multi-agent workflows

Pricing

Model: Free
Category: AI Agent Development Frameworks
Rating: 4.6 / 5 (5)

Use cases

Automate Kubernetes Cluster Operations

Use AI agents to handle routine Kubernetes tasks such as scaling, monitoring, and configuration management, reducing manual DevOps overhead.

Troubleshoot Cluster Issues

Deploy AI agents to diagnose and resolve common Kubernetes issues like failing pods or misconfigurations through automated investigation workflows.

Build Custom K8s AI Workflows

Leverage the open-source framework to develop tailored AI agents that automate organization-specific Kubernetes operational procedures.

Pros & Cons

Pros

Declarative agents can be defined as Kubernetes CRDs
Supports a variety of language and framework combinations
Robust security and observability features
Multi-runtime support
Agent-to-agent communication

Cons

Steep learning curve for setting up and configuring
Requires significant infrastructure and resource investment
Limited support for non-Kubernetes environments
Dependence on LLM providers for model selection

Reviews

4.6

Average from 5 ratings.

Ahmed Saleh

May 8, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and it saves real time caught me off guard. The mobile experience lags is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Esther Adeyemi

Apr 30, 2026

Use it every day

Honestly didn't expect to like it this much. The dashboard is exactly what I needed, and support is responsive. but I reach for it almost every day now and it just clicks.

Nadia Petrova

Jan 8, 2026

Use it every day

Honestly didn't expect to like it this much. The core workflow is exactly what I needed, and it is genuinely easy to set up. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Diego Fernández

Oct 31, 2025

Solid for our team

We rolled this out across the team last quarter and it saves real time. The onboarding fits neatly into how we already work, and the API removed a step we used to do by hand. but it has held up under daily use.

Elena Rossi

Aug 23, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and the value for money is strong. Where it lags: the docs could be deeper. On balance the feature set — especially the dashboard — justifies the 4 stars for our use case.

Q&A

What is kagent and what does it do?

kagent is an open-source framework that enables AI agents to automate Kubernetes operations, helping teams streamline cluster management and routine DevOps tasks through AI-driven workflows.

Is kagent free to use?

Yes, kagent is open-source, so it can be used without licensing fees. However, you may still incur costs for the underlying infrastructure, Kubernetes clusters, and any AI models the agents rely on.

Who is kagent best suited for?

kagent is best suited for DevOps engineers, SREs, and platform teams who manage Kubernetes environments and want to leverage AI agents to automate operational tasks and reduce manual cluster maintenance.