Deploy FastGPT on Sealos

FastGPT is an open-source AI knowledge base and workflow platform with RAG retrieval, model orchestration, MCP access, and plugin extensibility.

Launch a private FastGPT 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.

Official Website GitHub README

sealos.io

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

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

FastGPT

This template updates FastGPT to the topology used by the upstream deploy/docker/cn/docker-compose.pg.yml release line and maps it onto Sealos-native resources.

It deploys:

FastGPT main app
FastGPT Plugin
FastGPT Code Sandbox
FastGPT MCP Server
AIProxy
MongoDB
PostgreSQL for FastGPT vector storage
PostgreSQL for AIProxy
Redis
Sealos object storage buckets for public and private assets

Notes

Wait a few minutes after deployment so the database clusters and the AIProxy database init job can finish.
Sign in with username root and the root_password you entered at deploy time.
AI models still need to be configured after deployment. AIProxy is deployed internally and is consumed through FastGPT's built-in integration.
The MCP public address is preconfigured in config.json.
Agent sandbox integration is disabled by default because the upstream Docker topology depends on Docker-socket-based services. If you already have a hosted sandbox service, fill agent_sandbox_baseurl and agent_sandbox_token during deployment.
The ingress annotations follow the shared Sealos template defaults. If you need uploads larger than 32 MB, change the ingress nginx.ingress.kubernetes.io/proxy-body-size after deployment.

Storage

This template uses Sealos object storage instead of the upstream embedded MinIO service. Public and private buckets are provisioned automatically and wired into FastGPT and FastGPT Plugin.

Databases

The FastGPT PostgreSQL database runs on Sealos Database and is intended for the pgvector-backed FastGPT deployment path represented by the upstream compose file.