The AI world is buzzing about agents. Pilots are easy to spin up, but getting them into production has proven challenging. Now, platform teams are facing a hard truth: Kubernetes was not built for agents, and cloud native alone can’t close the AI production gap.
That changes today.
We’re very excited to introduce kagent enterprise.
Born from one of the fastest-growing CNCF projects of 2025, kagent has already built a thriving community with 100+ contributors, 800+ members, and thousands of GitHub stars. It’s quickly become the open source framework for building and running agents on Kubernetes. With kagent enterprise, we’re taking that momentum and adding the enterprise-grade management, security, and observability that production AI demands.
“Navigating the path to production with AI agents is hard and requires critical gaps in the Kubernetes foundation to be filled to meet the unique requirements for agents, tools, and LLMs,” said Idit Levine, CEO and Founder of Solo.io. “Kagent enterprise fills these important gaps by effectively and securely transforming cloud native infrastructure into agentic infrastructure.”
Check out the demo video here:
Context awareness at every layer of agentic infrastructure
AI agents bring unique requirements around identity, cost transparency, observability, and governance. Until now, no single platform made it possible to build, debug, manage, and run agents across federated Kubernetes environments. Kagent enterprise allows teams to bridge the production gap by providing context awareness at every layer of an agentic infrastructure stack:
- Context-aware networking: kagent enterprise includes agentgateway, an agent-native data plane optimized for agentic AI connectivity with full support for MCP, A2A, and leading LLM provider protocols. Created by Solo.io and contributed to the Linux Foundation, agentgateway takes a more comprehensive approach to AI connectivity than any other AI gateway in the market, supporting LLM consumption, agent-to-agent, and agent-to-tool interactions across any tool server or agent framework.
- Context-aware runtime: kagent enterprise introduces a new runtime layer for agents and tools that extends Kubernetes to become context-aware. Unlike traditional cloud native runtimes that treat workloads as a black box, agentic runtimes require a new identity and policy model for agents acting on behalf of users, advanced failover and memory management for agents, and deeper observability instrumentation to explain and audit how agents and tools interact. Kagent enterprise has built-in support for creating and deploying agents and tools, but also integrates with alternative agentic frameworks (e.g. Agent Development Kit, Langchain) and any MCP-compliant tool server implementation. Launched in March 2025 and quickly adopted as a CNCF project, kagent has quickly grown to 800+ community members and 100+ contributors as the community-backed foundation for agentic infrastructure.
- Context-aware platform: kagent enterprise brings context-aware connectivity and runtime together with a centralized management plane to provide AgentOps - a unified platform for managing and securing agentic infrastructure. The AgentOps dashboard gives teams centralized visibility with an agent graph and end-to-end tracing of user, agent, tool, and LLM interactions. Policy and lifecycle management are built in, with declarative APIs and UI controls to create, deploy, update, and retire agents. An agent registry makes it easy to discover available agents and tools, while human-in-the-loop and human-on-the-loop controls provide the safeguards enterprises need to scale agentic applications with confidence.
The next step in AI infrastructure: Powered by open source, hardened for the enterprise
We’re building the future of agentic infrastructure with kagent, a collaborative open-source project backed by contributors from the world's leading technology companies. Kagent enterprise unifies three open source innovations:
- kagent – the CNCF project redefining how engineers build and run AI agents on Kubernetes
- kmcp – a toolkit for deploying and managing Model Context Protocol (MCP) servers
- agentgateway – the open source data plane for secure, observable agent-to-agent and agent-to-tool communication, contributed by Solo.io to the Linux Foundation
Together, they form the backbone of the industry’s first enterprise-ready agentic infrastructure platform.
Open source laid the groundwork. Now, kagent enterprise builds on it with the controls, visibility, and security enterprises need to run agentic AI in production.
With kagent enterprise, platform teams can finally move to production without compromising on security, governance, or scale. It’s the missing piece for enterprises ready to operationalize AI agents, not just experiment with them.
The future of agentic infrastructure is here - and it’s enterprise-ready. Get started today:
- Follow our getting started guide to experiment with AI agents in your Kubernetes cluster.
- Get involved by contributing your own agents and tools to extend the cloud native AI ecosystem.
- Join the discussion in the #kagent channel on CNCF Slack.
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