Local-first control
Cloud credentials and AI keys stay on your machine while Clanker Cloud connects to the providers you already use.
A desktop workspace for understanding and operating real infrastructure with AI help, live provider context, local credential custody, and review-first execution.
Cloud credentials and AI keys stay on your machine while Clanker Cloud connects to the providers you already use.
Ask plain-English questions across AWS, Kubernetes, GCP, Azure, Tencent Cloud, Cloudflare, GitHub, and more with real environment context.
Generate deploy, remediation, security, and optimization plans before approving changes that touch infrastructure.
Book time with us to map infra issues, cloud automation gaps, and agentic workflows into a concrete next step.
Install the app, connect existing credentials, and start without a hosted SaaS layer or long setup flow.
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.
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.
Gather live context first, inspect deeply, generate a reviewed plan, and only then enable maker mode when you want Clanker Cloud to operate.
Ask about incidents, topology, recent changes, or cost across the providers you already run.

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

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

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

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


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.
Run checks against existing cloud accounts and cluster contexts without handing credentials to a hosted SaaS layer.
Use the models you prefer and keep direct cost control instead of paying another token markup layer.
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.
Clanker Cloud checks live context first, generates plans second, and only makes changes in explicit maker mode.
Watch the demo, inspect the open-source CLI, and read how local credentials and reviewed changes work before you install.
See Clanker Cloud inspect infrastructure context, surface findings, and prepare a next step you can review.
Watch demoThe public CLI powers terminal, automation, MCP, and app-backed workflows, so you can inspect the engine behind the app.
View codeSee what stays on your machine, what can be sent to model providers, and when a plan needs approval before apply.
Review boundaryClanker Cloud is one product, but different teams enter through different problems: shipping apps, running ops, managing research infrastructure, or giving agents a grounded local control surface.
Turn a GitHub repo into a reviewed deploy plan, keep credentials local, and move from fast prototype to real cloud infrastructure.
Ask what broke, what changed, what is exposed, and where spend is moving across cloud, Kubernetes, edge, and GitHub.
Bring up training, inference, and support infrastructure while keeping topology, runtime state, and cost context close.
Expose a local MCP workspace so Claude Code, Codex, OpenClaw, Hermes, and custom agents can ask grounded infrastructure questions.
macOS, Windows, and Linux support. BYO AI keys. Read-only first. Credentials stay local. No credit card required to start.