Build and deploy full-stack apps with an AI agent
Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 61 MCP tools for AI agents.
Agentic building with verified changes
The NEXUS AI App Builder creates and edits project files, runs checks in an isolated development sandbox, inspects errors, and revises its work before deployment.
Preview, share, and remix before deployment
Use instant browser preview for interface iteration or a real full-stack development sandbox for routes, forms, packages, and database-backed behavior. Publish a frozen preview or remix a shared app into a new project.
Everything your app needs to run
A deployment can include the app container, PostgreSQL, Redis, MySQL, MongoDB, background workers, persistent volumes, S3-compatible buckets, logs, health checks, custom domains, backups, scaling, and rollback.
Built for people and AI agents
Developers using Cursor, Claude, Codex, local agents, or GitHub can move from prototype to running service with one workflow. The CLI, dashboard, REST API, and 61 MCP tools expose the platform to humans and agents.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
Frequently asked questions
What does NEXUS AI deploy?
NEXUS AI deploys full-stack applications from prompts, Git repositories, local source folders, and container images. Deployments can include app containers, PostgreSQL, Redis, MySQL, MongoDB, worker sidecars, persistent volumes, S3-compatible buckets, custom domains, logs, health checks, database backups, restore workflows, scaling, and rollback.
Do I need to write Docker or Kubernetes configuration?
No. NEXUS AI detects common frameworks, builds a production container, provisions runtime resources, configures service networking, injects database and storage environment variables, and exposes a CLI, dashboard, REST API, and MCP tools for lifecycle operations.
Can NEXUS AI run databases and background workers?
Yes. Docker deployments can include PostgreSQL, MySQL, MongoDB, Redis, worker sidecars, persistent volumes, S3-compatible buckets, and database backup and restore workflows. Workers attach to the same service network as the app, so queue processors can reach Redis, Postgres, and other attached services by internal hostname.
About NEXUS AI
NEXUS AI is an agentic AI app builder and full-stack deployment platform. Explore the AI App Builder, learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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