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Deploy AnythingLLM on Sealos

AnythingLLM is an all-in-one AI application for private chat, document ingestion, agents, and workspace-based knowledge bases.

AI
Launch a private AnythingLLM AI workspace with one-click deployment.Keep models, prompts, and workflow data in your own Sealos environment.Scale GPU or CPU resources as your AI workload grows.Use an open-source template without managing Kubernetes YAML.

Why deploy on Sealos

Sealos makes deploying any app effortless, secure, and production-ready. From one-click launch to ongoing operations, we handle the heavy lifting so you can focus on what matters.

One-Click Deploy
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Compute
Networking
Storage
Security
Observability
Your Application is Live

One-Click Deployment

Deploy any app template in seconds. No compose setup, manual configure, and go live.

Managed Kubernetes Reliability

Built on Sealos Managed Kubernetes for high availability, auto-scaling, and self-healing by default.

Automatic HTTPS & Security

Every deployment includes a secure domain with automatic SSL. We handle certificates and text protection for you.

Persistent Storage

Attach persistent volumes with ease. Your data stays safe, durable, and always accessible.

Scale when needed

Adjust resources as your app grows, no downtime required.

You Get the Whole Stack

Sealos provisions and connects every resource your application needs. Everything is ready to use.

One-click, fully provisionedSecure by defaultProduction ready

App Service

Your application is running and ready to serve requests.

Public HTTPS URL

Secure, global endpoint to access your application.

Database

Managed database instance for your application.

Persistent Volume

Durable storage for uploads and application data.

Environment Variables

Configuration and secrets injected securely into your app.

Logs & Metrics

Centralized logs and basic metrics are enabled.

README

README.md

Deploy and Host AnythingLLM on Sealos

AnythingLLM is an all-in-one AI application for private chat, document ingestion, agents, and workspace knowledge bases. This template deploys AnythingLLM with persistent application storage on Sealos Cloud.

AnythingLLM Screenshot

About Hosting AnythingLLM

AnythingLLM runs as a single web service that includes the application server, document ingestion pipeline, local workspace storage, and vector storage configuration. The template provisions persistent volumes for /app/server/storage, /app/collector/hotdir, and /app/collector/outputs so uploaded files, workspace metadata, and processed outputs survive restarts.

The default vector backend is LanceDB in the application storage volume. For an external PGVector deployment, set Vector Database to pgvector and fill the PostgreSQL connection string plus table name.

Common Use Cases

  • Private AI chat: Create workspace-based assistants with your own model providers.
  • Document Q&A: Upload files and query them through workspace knowledge bases.
  • Agent workflows: Run tools and agent actions from a browser UI.
  • Team knowledge hub: Keep project context, documents, and chats in one self-hosted interface.

Dependencies for AnythingLLM Hosting

The Sealos template includes the AnythingLLM container image, persistent storage, public HTTPS ingress, and optional PGVector connection parameters.

Deployment Dependencies

Implementation Details

Architecture Components:

  • AnythingLLM: Web UI, API server, workspace management, document ingestion, and vector backend client.
  • Persistent Storage: Volumes for server storage, collector hotdir, and collector outputs.
  • Optional PGVector: External PostgreSQL with pgvector extension for vector storage.

Configuration:

  • auth_token sets the single-user password.
  • openai_api_key is available during onboarding and later model setup.
  • vector_database defaults to lancedb; choose pgvector and fill the PGVector fields for external vector storage.

License Information:

AnythingLLM is licensed under the MIT License.

Why Deploy AnythingLLM on Sealos?

Sealos provides one-click deployment, automatic HTTPS, persistent storage, and Kubernetes-backed lifecycle management. You get a public AnythingLLM URL with configurable storage and model-provider settings from the App Store form.

Deployment Guide

  1. Open the AnythingLLM template and click Deploy Now.
  2. Configure the parameters in the popup dialog. Set Single-user password for first login. Keep Vector Database as lancedb for built-in storage, or choose pgvector and fill the external PGVector fields.
  3. Wait for deployment to complete, typically 2-3 minutes. After deployment, you will be redirected to the Canvas.
  4. Open the generated application URL and log in with the single-user password you configured.

Configuration

After deployment, configure model providers, embedding providers, workspaces, and document upload settings in the AnythingLLM UI. Resource and environment changes can be made from the Sealos Canvas resource cards.

Additional Resources

License

This template follows the upstream AnythingLLM MIT License.

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