One Agent, Two Surfaces
Oscar lives in your terminal and your browser. The CLI is where you investigate; the local Web UI is where your topology, tasks, findings, and reports come to life. Same agent, same context, side by side. It proposes. You approve. Nothing changes without you.
Illustrative session. Oscar proposes the fix; you approve it.
Oscar Ops is an AI cloud engineering agent that runs locally on your workstation, connects to your cloud with the credentials you already have, builds a live Cloud Intelligence Graph™ of your environment, and proposes actions that execute only with your approval. The free Operator Edition installs in minutes; Oscar Pro adds shared context, tasks, and oversight for teams.
Security and Safety
Oscar was designed for engineers who are accountable for what runs in production. Your data stays in your environment, your credentials stay on your machine, and nothing executes without your sign-off.
Most Common Prompts
These are the questions engineers ask Oscar every day. Every answer is grounded in your live environment, with the evidence trail behind it.
Illustrative answers from a sample environment.
Get Started
Four steps from download to your first context-grounded cloud investigation. No new accounts, no onboarding calls, no dashboard to configure.
Day-to-Day Operations
One command scans every account and region you have access to and returns what needs attention, ranked. Baselines come from your own history, so Oscar flags what is abnormal for your environment, not what is loud.
Illustrative output from a sample environment.
The Context Graph
Oscar builds your Cloud Intelligence Graph™ automatically: resources, dependencies, ownership, history, and cost, inferred from runtime behavior rather than tags. It persists across sessions, so Oscar never starts from zero and works on untagged environments from day one.
Oscar does no open-ended network scanning. Assessments run as two scoped, deterministic, approval-gated phases: inventory discovery through approved connectors, then deterministic policy checks against that inventory. Read-only, with no changes to your environment.
Assessments
The same agent runs structured assessments of your environment: backup posture, AI agent inventory, cloud waste. Here Oscar kicks off a backup posture assessment and pages through the Backup Posture Report it produced for the fictional Acme Systems sample environment.
From Findings to Tasks
Oscar turns findings into tasks with the evidence attached. With Oscar Pro, tasks are assigned across the team and carry their full investigation context with them, so handoffs skip the Slack archaeology.
Two Editions
Operator Edition is free forever for individual engineers. Oscar Pro adds the team layer: shared context, shared tasks, oversight, and coordination.
The full Oscar experience for one operator: CLI plus local Web UI, your own context graph, and grounded answers from day one.
Everything in Operator Edition plus the team features: one shared Cloud Intelligence Graph™, coordinated tasks, and role-based oversight across engineers with different account and tool access.
The Journey
Start as one operator with a free download. End with a cloud engineering agent working across your teams. Every stage builds on the context the last one created.
Install Oscar, run setup, and get your first grounded answer in under 30 minutes. Health checks, cost investigations, and incident root cause become one command instead of an afternoon.
Every command enriches your Cloud Intelligence Graph™. Oscar now knows your baselines, your dependencies, and your history. Its answers keep getting more specific to you.
Your team works from one combined graph. Investigations hand off with full context, tasks route to the right owner, and leads see progress without asking in standup.
Assessments, monitoring, and governed workflows extend Oscar across the organization: evidence-backed reports, posture that stays current, and remediation at scale with approvals built in.
Enterprise
At enterprise scale, the OpsCanvas Enterprise hub deploys a fleet of Oscar agents. Each one discovers its slice of your infrastructure, reports telemetry back to the hub, and receives remediation tasks routed with approvals built in. The fleet works in parallel; your team keeps oversight.
Before You Download
Oscar Ops is an AI cloud engineering agent that runs locally on your workstation, connects to your cloud with the credentials you already have, builds a live Cloud Intelligence Graph™ of your environment, and proposes actions that execute only with your approval. The free Operator Edition installs in minutes; Oscar Pro adds shared context, tasks, and oversight for teams.
Generic LLMs answer questions about cloud concepts. Oscar answers questions about your cloud. The difference is the Cloud Intelligence Graph™: a persistent, automatically maintained model of your specific environment including what runs, what owns what, what depends on what, and what has changed. You cannot paste that into a chat window. Oscar builds it automatically, and structured context from the graph means roughly 50% fewer tokens per query than manually pasted prompts.
Oscar runs entirely on your workstation. Your cloud data is queried locally and never transmitted to OpsCanvas infrastructure. Oscar uses your existing credentials and operates within exactly the permission boundary you already have. It never executes any change without explicit human approval, and every proposed action is shown with its full evidence trail first.
The Operator Edition is free forever for individual engineers: the CLI, the local Web UI, your own context graph, health checks, cost investigations, and incident root cause. Oscar Pro is $99 per user per month and adds the team layer: a shared context graph across the team, task sharing and handoffs with full investigation context, admin oversight of team task lists, role-based controls, and a team-level audit trail.
Oscar supports all major foundation models including Anthropic Claude, OpenAI GPT, Meta Llama, Google Gemini, Mistral, and DeepSeek. You configure the model of your choice at setup. Your API key stays on your machine and you are billed directly by the model provider. You can switch models at any time without losing your context graph.
Under 30 minutes from install to your first context-grounded answer. Oscar builds its initial context graph automatically during setup and works on untagged environments from the first scan. By the end of your first week, it has a richer picture of your environment than most tagging-based systems ever achieve.
Get Started
Free to install. Works with the tools you already use. No new dashboard. No credentials shared. Your first context-grounded cloud answer in under 30 minutes.
Free Operator Edition · Bring your own AI model · Works with untagged environments · No credentials shared
