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Product

Clanker Cloud — Local AI Ops for AWS, Kubernetes, Cloud Cost, and MCP Agents

A desktop workspace for understanding and operating real infrastructure with AI help, live provider context, local credential custody, and review-first execution.

Local-first control

Cloud credentials and AI keys stay on your machine while Clanker Cloud connects to the providers you already use.

Live infrastructure answers

Ask plain-English questions across AWS, Kubernetes, GCP, Azure, Tencent Cloud, Cloudflare, GitHub, and more with real environment context.

Reviewed action plans

Generate deploy, remediation, security, and optimization plans before approving changes that touch infrastructure.

Watch Clanker find waste, risk, and broken deploys

Built on the open-source Clanker CLI -> View on GitHub

Clanker Cloud FDE

Need hands on help with cloud infrastructure?

Book time with us to map infra issues, cloud automation gaps, and agentic workflows into a concrete next step.

Supported integrations
AWSKubernetesGCPAzureTencent CloudCloudflareHetznerDigitalOceanVercelSupabaseRailwayFly.ioVerdaGitHubSentryDatadog
OpenAIAnthropicCohereGeminiMistral AIHugging FacePerplexityOllamallama.cppBYOK
CodexClaude CodeGitHub CopilotOpenClawHermes
One-minute setup

Install the app, connect existing credentials, and start without a hosted SaaS layer or long setup flow.

macOSWindowsLinuxYour agent
Supports OpenClaw, Hermes, Codex, Claude Code, and any agent that can use MCP.
Latest builds live on downloads.
Mobile agent console

Manage and observe your infra on your phone with Clanker Cloud via Codex

Run Clanker Cloud from the agent you already use, including Claude Code, Cursor, GitHub Copilot, OpenClaw, Hermes, Codex, and other agent systems, while provider context, approvals, and local control stay in one place.

See Clanker Cloud Deep Research in action

Find cost waste, risky endpoints, and broken deploys in one private scan.

Deep Research fans out across AWS, GCP, Kubernetes, and connected providers, runs parallel AI analysis, and returns a prioritized report for cost, security, reliability, and deploy risk.

Multi-provider scanParallel AI agentsEvidence-backed report
Example scan found
  • $247/mo idle spend
  • 2 failing deploy workflows
  • 3 risky public endpoints
  • 1 missing backup policy

Clanker Cloud examples from real world scenarios

100%
K8S POD|checkout-api
Contextproduction / 3 pods / 22ms p95
StatusRUNNING|Cost$44.00/mo|Regionus-east-1|IDcheckout-api
Workflow

From question to action, without guessing

Gather live context first, inspect deeply, generate a reviewed plan, and only then enable maker mode when you want Clanker Cloud to operate.

Ask

Query live infrastructure in plain English

Ask about incidents, topology, recent changes, or cost across the providers you already run.

Talk to your infrastructure screen in Clanker Cloud
Plain-English infrastructure questions
Inspect

Ground answers in real environment context

Scan resources, trace dependencies, and inspect topology without bouncing between consoles.

2D topology view in Clanker Cloud
Live topology and cloud context
Plan

Generate a reviewed plan before changes

See the intended impact before anything is created, modified, or destroyed.

Execution plan screen in Clanker Cloud
Reviewed plans before execution
Apply

Use maker mode only when you are ready

Gather live context first, then explicitly approve action when you want Clanker Cloud to operate.

One click deploy flow in Clanker Cloud
Explicit maker mode for changes
Works across your stack

Connect what you already run

Connect existing cloud accounts, cluster credentials, repos, and AI keys from one private desktop surface. No credential migration. No hosted SaaS layer required.

Clanker Cloud screen for scanning infrastructure across providers
Scan connected infrastructure locally
Kubernetes support screen in Clanker Cloud
Multi-cloud and Kubernetes support
Trust

Built for infrastructure trust boundaries

The strongest product differentiators are also the simplest ones: private credential custody, bring-your-own AI, agent-managed workflows, and explicit approval before anything changes.

Private by default

Credentials stay on your machine

Run checks against existing cloud accounts and cluster contexts without handing credentials to a hosted SaaS layer.

BYO AI

Bring your own model keys

Use the models you prefer and keep direct cost control instead of paying another token markup layer.

Agents

Can be managed by your agent, or manage your agent

Clanker Cloud can be managed from your own agent workflows, and Clanker Cloud can also manage your agent, so infrastructure context and controlled actions stay inside the tools you already run.

Read-only first

Review the plan before anything changes

Clanker Cloud checks live context first, generates plans second, and only makes changes in explicit maker mode.

Try the app now

macOS, Windows, and Linux support. BYO AI keys. Read-only first. Credentials stay local. No credit card required to start.