NEXUS AI Knowledge Base

Troubleshooting guides

Find practical fixes for build failures, deployment errors, service networking problems, database connection issues, worker startup failures, and runtime log symptoms.

Platform operations

Learn how to operate full-stack deployments with app containers, PostgreSQL, Redis, MySQL, MongoDB, S3-compatible buckets, persistent volumes, backups, restores, metrics, and rollbacks.

Fast path to answers

Use the Knowledge Base when you need a direct operational answer. For complete references, continue into the documentation, CLI guides, REST API docs, and MCP tool references.

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.

All Knowledge Base articles

• NEXUS CLI App Builder — A hands-on guide to the NEXUS AI CLI Builder: start an app from a prompt, choose a model, edit files, fix errors, preview, and deploy.
• The Complete NEXUS AI CLI Guide — The complete NEXUS AI CLI guide: install, deploy from Git or images, databases, storage, domains, secrets, rollbacks, CI/CD, and 20 real use cases.
• NEXUS CLI Full App Deployments, Workers, and Scaling — This guide explains how to deploy a full application from Git with the NEXUS CLI, attach database/cache services, add a background worker process, and scale the application up or down.
• Deploy Your Own AnythingLLM in One Click: A Complete Guide — Run a private chat-with-your-documents AI workspace on your own HTTPS URL in about 15 minutes, with no Docker, no server, and no config files.
• One-click OmniRoute deploy with the NEXUS AI button — How we deploy OmniRoute, an MIT-licensed gateway for hundreds of AI providers, with the Deploy to NEXUS AI button. No config, no servers, Free plan included
• Run your own AI gateway in 5 minutes with OmniRoute — An AI gateway fixes this. One OpenAI-compatible endpoint, many providers behind it, automatic fallback when one runs out
• Add a Deploy to NEXUS AI Button to Your GitHub Repo — Add a Deploy to NEXUS AI button to your GitHub README: step by step setup, nexus.json reference, link options, examples, and troubleshooting.
• NEXUS AI MCP — NEXUS AI MCP Server Reference
• NEXUS AI Database: The Complete Guide — NEXUS AI Database gives your apps a production database without running a database server yourself. You create it with one command, attach it to a deployment, and NEXUS AI injects the connection settings, handles backups, and lets you query and repair it, including through AI assistants.
• Troubleshooting build failures

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.