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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Stacklok
Stacklok

Stacklok

Founded 2023

Deploy and manage open enterprise AI agents securely across your Kubernetes infrastructure

You can use Stacklok to deploy, govern, and run artificial intelligence agents securely across your own Kubernetes infrastructure. The system connects internal services, data stores, and external tools through an open Model Context Protocol architecture without locking you into specific model providers. You can secure agent actions using an MCP gateway, route model traffic through an LLM gateway to control token spending, and assign identity policies to every tool interaction. It ensures your proprietary company data stays behind your firewall while running agent workflows.

What Stacklok does

Deploy secure agent runtimes on KubernetesInspect and approve agent-to-tool actionsSet model selection and cost policiesManage access control for private databasesAudit model requests and agent execution logsRoute traffic across multiple LLM providersConnect AI agents to tools using Model Context Protocol architectureDeploy outbound-only tunnels to protect data behind corporate firewallsControl AI spending and routing using a dedicated LLM gatewayTrack and tie every tool interaction to specific user and team identitiesRun agents natively across existing enterprise Kubernetes clustersPrevent vendor lock-in by supporting multiple open and closed AI models

Frequently asked

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Stacklok, Model Context Protocol, MCP, AI agents, Kubernetes, agent runtime, LLM gateway, MCP gateway, ToolHive, Mecatl, enterprise AI, cloud native, agent security, self-hosted AI, AI infrastructure