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Solo.io today announced support for NemoClaw within kagent, the production-grade agentic runtime trusted by leading retail, financial services, and telecommunications enterprises. With this integration, always-on assistants join programmatic and declarative agents as fully supported patterns, giving enterprise platform teams a single agentic runtime for every major agent pattern they deploy today.
Solo.io integrates NemoClaw (NVIDIA's OpenClaw reference implementation) into kagent production runtime for Kubernetes.
Kagent has attracted more than 300 contributors from Microsoft, Amazon, Oracle, Amdocs, and Orange as CNCF Sandbox project.
Kagent supports programmatic agents (Google ADK, LangGraph, CrewAI) and declarative agents with uniform end-to-end auditability.
NemoClaw enables always-on assistants that run persistently, retain context across days or weeks, and take long-running action.
Added capabilities include security isolation with on-behalf-of authorization, end-to-end observability, and multi-cluster federation.
Solo.io agentic stack includes kagent, Agentgateway (Linux Foundation), Agentregistry (CNCF), and Agentevals.
“At GTC, Jensen Huang put it perfectly: ‘Mac and Windows are the operating systems for the personal computer. OpenClaw is the operating system for personal AI,’” said Idit Levine, founder and CEO of Solo.io. “Our customers and the kagent community have been driving us to the natural next step: extending that operating system beyond the personal device into the distributed Kubernetes infrastructure where their business actually runs. With NemoClaw in kagent, that's exactly what we're delivering.”
Kagent has become the leading agent-native runtime for Kubernetes by giving AI development teams the flexibility to build in any framework and pattern, while providing AI platform teams the runtime governance, identity, policy enforcement, observability, and lifecycle management they need to operate agents in production. Programmatic agents built with frameworks like Google ADK, LangGraph, and CrewAI run side-by-side with no-code declarative agents on a kagent runtime providing consistent and uniform end-to-end auditability, on-behalf-of policy enforcement, and human-in-the-loop controls.
While programmatic and declarative agents cover most enterprise agentic use cases today, a third pattern is rapidly emerging as the next mode for any production agent runtime: the OpenClaw-style always-on assistant. These agents run persistently, retain context across days or weeks, and take long-running action on behalf of their users. NVIDIA's NemoClaw, built on the open source OpenClaw project, has emerged as the reference implementation of this pattern, with a sandbox-first foundation providing safety and isolation controls for assistant agent runtimes.
Kagent complements and extends NemoClaw to deliver an enterprise governance layer for always-on assistants with capabilities that platform teams need to operate fleets of assistants in production, including:
Security and isolation: Assistants act under each user's identity and policies with on-behalf-of authorization, allowing the scope and authority of an agent to be constrained by context and use case.
End-to-end observability: Built-in telemetry and tracing show each step in the agentic loop of an assistant, showing exactly what and when an agent takes action.
Multi-cluster and federation: A central, multi-cluster control plane governs assistants running across regions and clusters, while providing the ability to schedule and execute agents in specific environments.
Governance and lifecycle: Declarative config, GitOps workflows, and progressive rollouts let teams ship and update assistant blueprints across many clusters using the same process they use for application code.
The Solo.io agentic stack provides everything teams need to develop, deploy, and operate AI agents on Kubernetes and is powered by core open source projects created and contributed to the community by Solo.io, including:
Kagent, a CNCF Sandbox project, is the Kubernetes-native runtime that makes agents first-class workloads, with the security, observability, and lifecycle controls enterprises need to run programmatic, declarative, and now always-on assistant patterns side-by-side.
Agentgateway, a Linux Foundation project, is the high-performance data plane for agentic traffic, built from the ground up in Rust to span the full range of agentic protocols and use cases as a unified inference gateway, LLM gateway, MCP gateway, and A2A gateway.
Agentregistry, contributed to CNCF, is the trusted source for discovering, packaging, and distributing agents and tools across an organization, giving platform teams the same versioning, signing, and supply-chain rigor for agents that they already expect for container images.
Agentevals captures evaluation and quality signals using OpenTelemetry rather than in-process instrumentation, providing continuous, framework-agnostic visibility into how agents actually behave in production across the entire agentic loop.
Solo.io is reimagining infrastructure for cloud and AI, uniting secure, seamless cloud connectivity with AI-ready, agentic infrastructure. Trusted by leading enterprises worldwide, Solo.io helps organizations securely connect applications, services, and AI workloads across any environment. From AI infrastructure to API gateways and service mesh, our solutions simplify and unify application networking, enabling teams to accelerate innovation, scale intelligently, and leverage the full potential of modern AI agents.
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