Skip to main content
Warning:
You can self-host CORE on your own infrastructure using Docker.
The following instructions will use Docker Compose to spin up a CORE instance.
Make sure to read the self-hosting overview first.
As self-hosted deployments tend to have unique requirements and configurations, we don’t provide specific advice for securing your deployment, scaling up, or improving reliability.
This guide alone is unlikely to result in a production-ready deployment. Security, scaling, and reliability concerns are not fully addressed here.
Should the burden ever get too much, we’d be happy to see you on CORE Cloud where we deal with these concerns for you.

​
Requirements

These are the minimum requirements for running the core.

​
Prerequisites

To run CORE, you will need:
  • Docker 20.10.0+
  • Docker Compose 2.20.0+

​
System Requirements

  • 4+ vCPU
  • 8+ GB RAM
  • 20+ GB Storage

​
Deployment Options

CORE offers multiple deployment approaches depending on your needs:

​
Quick Deploy with Railway

For a one-click deployment experience, use Railway: Deploy on Railway Railway will automatically set up all required services and handle the infrastructure for you.

​
Manual Docker Deployment

Prerequisites: Before starting any deployment, ensure you have your OPENAI_API_KEY ready. This is required for AI functionality in CORE. You must add your OPENAI_API_KEY to the core/hosting/docker/.env file before starting the services.

​
Combined Setup

For self deployment:
  1. Clone core repository 
    # Clone the repository
git clone https://github.com/RedPlanetHQ/core.git
cd core/hosting/docker
  2. Start the services: 
    docker compose up -d

​
Next Steps

Once deployed, you can:
  • Configure your AI providers (OpenAI, Anthropic, etc.)
  • Set up integrations (Slack, GitHub, Gmail)
  • Start building your memory graph
  • Explore the CORE API and SDK