AI Operating System
The AI Operating System every Operational Hub runs on. Apps, agents, workflows, data, tools, and analytics live in one governed product. Your business builds with AI while IT keeps observability, approvals, audit, and control over where it runs, with no stack to assemble and no lock-in.
Built for IT to stand behind: encrypted credentials, sandboxed code, human approvals, full audit, and code you can export anytime.
What's inside
Most AI stacks are assembled from separate tools that never quite fit. Mogno brings the pieces into a single governed product, so apps call your tools, read your data, and trigger your workflows natively, and IT governs all of it from one place.
Describe what you need and Monica builds it with you: interactive React apps, APIs, tools, workflows, and data models, all on the same governed runtime. Apps and tools get an automatic security audit before they run, and every app version is kept, so a rollback is one click.
Mogno's native AI agent uses your tools, reads your data, and drafts apps, tools, workflows, and data models from chat, running safe reads on her own and asking before anything risky. Add your own custom agents and skills on top.
Explore agentsStateful, long-running automations built in a visual editor. They pause for human approval, run on a schedule or a webhook, and resume from the last good step after a restart.
Explore workflowsA built-in data layer spanning flexible records, relational models, and large-scale analytics, with backups and no separate warehouse to manage.
Explore dataTools and connections
Agents, workflows, and apps run tools: a built-in catalog for the common cases, plus custom tools your team builds in Python or wraps around any REST endpoint. Monica can write, test, and debug one for you. Python tools are sandboxed at runtime and audited on save, and each tool captures its output schema, so agents know exactly what it returns.
API keys and OAuth tokens are encrypted with AES-256-GCM, resolved only at call time, and never hardcoded.
MCP servers plug external services in, with built-in adapters for Google Workspace and your own custom servers, kept in sync automatically.
A call to a new external host pauses for approval first, so nothing reaches the outside world by surprise.
Operate
The Cockpit is Mogno's home surface, a dashboard of resizable widget apps where each tile is a live mini-app, not a static chart. Share a whole panel with a teammate, and shared widgets resolve data as you, so everyone sees consistent numbers without exposing their own permissions.
See everything
Logs capture per-step inputs, errors, and durations across apps, tools, agents, and workflows. A usage dashboard tracks AI token cost and cache efficiency by agent and service, and a node-by-node trace lets you step through any workflow run to find the root cause fast. For IT, AI stops being a black box.
Governance
Governance is part of the architecture, not a setting you turn on later. Role-based access, a permissions matrix for what each workspace can create, and a searchable audit log of every change keep the whole platform under control as it grows.
See the full security storyOn by default
Model your org
Isolated workspaces, plus a subspace hierarchy to spin up departments, teams, or clients that inherit the parent’s catalog under governed grants. A child can never enable what its parent does not have, so the whole organization stays isolated but governed from the top.
Open by default
Mogno is open at every edge, so your team is never trapped inside it. Build in the platform, or in your own tools, and take your work with you whenever you want.
Clone an app or tool, edit it in VS Code, Cursor, or Claude Code, and push it back with safe concurrent-edit protection. An MCP bridge lets AI coding agents build directly against Mogno.
Each agent runs on the model that fits its task, from the leading AI providers. Mogno manages access, routing, and retries, so no workflow depends on a single vendor.
A migration assistant imports projects from Lovable, v0, Next.js, Vue, or plain HTML, and a REST API and SDK round out programmatic access. Your code stays portable, with no lock-in.
Built to last
Cloud-native, with serverless build, runtime, and analytics that scale on demand. A distributed cluster keeps AI sessions alive across restarts, and crash recovery, health checks, and tracing are built in, so the platform stays up as usage grows.
Healthy
FAQ
It's a governed AI Operating System, not a framework. Your business builds apps, agents, and workflows from a conversation, and IT keeps access, approvals, audit, and observability over all of it from one place.
The platform works with leading models from more than one AI provider, and each agent uses the one that fits its task. Mogno manages access, routing, and retries, and model usage and token cost show up in observability, so IT always sees what AI is consuming.
No lock-in. Edit apps and tools in your own IDE or in Claude, export your code anytime, and import existing projects with the migration assistant. Your work stays portable.
Role-based access and a permissions matrix decide what each workspace can create, enable, or connect, and a subspace hierarchy isolates departments, teams, or clients under governed grants.
Logs, a usage dashboard with token cost and cache efficiency, and node-by-node workflow traces make every run visible, with a searchable audit log of every change.
App and tool code runs in an isolated sandbox with timeouts and scoped output, credentials are encrypted and resolved only at call time, and every tenant stays separate. See the security model for the full story.
Platform
See how Mogno fits together, apps, agents, workflows, and data, in a live walkthrough built around your environment.
