The Kubernetes-native
AI agent platform
Put always-on agents in the hands of every employee and keep your data behind your firewall
The co-creators of Kubernetes (Craig McLuckie and Joe Beda) are building Kubernetes for agents.
You are under pressure to put AI agents in the hands of your employees. The expectation is that those agents are always-on, highly advanced and granted access to your data and systems. That means you’re working through all sorts of new questions about agent identity and security and sovereignty. Stacklok has the right technology, the expert team and a track record of partnering with enterprises.
Self-host your agent stack on your existing, trusted Kubernetes infrastructure. Here’s how Stacklok keeps everything simple and scalable:
- Internal services
- Data stores
- SaaS tools
MCP Gateway
Control your data
Agent Harness
Control your destiny
LLM Gateway
Control your dollars
Unified Control Plane
- LLM provider Frontier
- LLM provider Hosted / on-prem
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Step 1: MCP Gateway
Full governance of every agent-to-tool call with every MCP server in its own container
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Step 2: LLM Gateway
Define budgets and monitor AI spend by team, individual, project and more
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Step 3: Agent Harness
Own your cloud-native harness, so you can rent the models and avoid vendor lock-in
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Step 4: Unified Control Plane
Run your AI workloads on Kubernetes with one set of policies, IdP integration and control plane
Leaders across industries trust Stacklok’s AI agent architecture
Control your data
“Our goal is to make everyone at TRM a builder. Stacklok’s agent runtime ensures the underlying infrastructure is secure and reliable at scale.”
Control your destiny
“Our partnership with Stacklok is about building a platform that meets the realities of enterprise AI today, and the emerging future.”

Control your Infrastructure
“Everything we do at project44 is Kubernetes-native. If all of our services run on Kubernetes, it would not make sense for our MCP servers to operate differently.”
Here’s why we think you should consider Stacklok
We co-created Kubernetes to help enterprises embrace cloud native infrastructure. At Stacklok, we’re helping enterprises use that infrastructure to run and govern the next generation of agents.
Our motivation is simple. The AI landscape is in constant motion. Your agents are evolving from tightly scoped to highly dynamic, and the right model for a given task is always changing. In this environment, enterprises need optionality.
Meanwhile, the frontier labs and hyperscalers are all building vertically-integrated, closed stacks. The experience is so good, you might not even notice the walls … until you find yourself locked in.
So we’re building an architecture that is:
Open to enable you to mix models, providers and components, with an open source core that you can make your own.
Self-hosted to ensure your data always stays behind your firewall.
Kubernetes-native to deploy rapidly, integrate with your existing IdP and manage agents the same way you manage your other workloads.
Identity-first to connect every agent action, tool call and model call to the responsible individual or team.
Our customers are using their existing cloud native infrastructure to support their next generation agents, while staying in full control of their costs and their destiny.
We’re only just getting started. The community is vibrant and growing and we invite you to dive in.
By the numbers:
Stacklok secures 20M+
tool calls every month (and growing)
Just the facts
Everything you wanted to know about Stacklok:

Craig McLuckie (CEO) and Joe Beda (CTO) co-created Kubernetes (and Craig founded the Cloud Native Computing Foundation)
We maintain an open source MCP platform, ToolHive, and cloud-native harness, Mecatl
We’re charter members of the Agentic AI Foundation
Stacklok is a maintainer of the official MCP registry



We have an amazing team that spans 10 countries
20M+
Our platform secures
20M+ tool calls every month
Stacklok is well funded by Accel, Bain Capital Ventures and Madrona
Ready to see it live?