NEXUS AI changelog
Follow NEXUS AI product updates, new deployment features, reliability fixes, security improvements, and platform releases.
Product updates
Follow new NEXUS AI features for deployments, managed databases, storage, backups, rollback, observability, and automation.
Reliability and security fixes
Review improvements that make the platform safer and more dependable for production workloads.
Release history
Track the evolution of NEXUS AI across public dashboard, API, CLI, MCP, and cloud provider workflows.
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 is this page for?
The changelog lists published NEXUS AI product updates, feature launches, fixes, and platform improvements.
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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