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mogenius brings AI directly into your Kubernetes operations. Instead of a single fixed assistant, you get a toolbox of configurable agents, an interactive chat, and a shared foundation of models and tools that both build on. Everything runs against your own cluster through the mogenius operator and respects your existing roles and permissions.

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The building blocks

  • Agents — Configurable AI workers that watch your cluster and produce troubleshooting reports and actionable proposals. You can run the curated defaults, adapt them, or create your own. See Agents.
  • Chat — An interactive assistant for asking questions, investigating issues, and drafting manifests through natural language. See Chat.
  • AI Models — One or more language models (OpenAI, Anthropic, or any OpenAI‑compatible / Ollama endpoint) that power agents and chat. See AI Models & Setup.
  • Tools — Built‑in Kubernetes and Helm access, plus custom MCP servers you connect as additional agent tools. See Tools & Custom MCP Servers.
All AI features require at least one connected AI model. If you haven’t set one up yet, start with AI Models & Setup.

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Agents vs. Chat

Both use the same models and tools, but serve different jobs:
  • Agents run autonomously — on a schedule, on cluster events, or on demand — and file their findings as reports you review and approve. Use them for continuous monitoring and remediation.
  • Chat is interactive — you drive the conversation in real time. Use it for ad‑hoc investigation, questions, and quick edits.

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Where to find it

The AI features live under the Agents section in the platform:
  • Cluster level — cluster‑wide agents and reports across every namespace the operator manages.
  • Workspace level — the same view, scoped to the namespaces belonging to that workspace.
Models, tools, and custom MCP servers are managed centrally under Cluster Settings → AI and shared across the whole cluster.

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Get started

1

Connect a model

Add at least one AI model and mark a default. See AI Models & Setup.
2

Run or create an agent

Use a curated default agent or configure your own scope, triggers, and tools. See Agents.
3

Review reports

Approve, reject, or apply the proposals your agents generate. See Reports & proposals.
4

Chat when you need it

Open the chat for interactive investigation. See Chat.