Getting Started
This chapter guides you through your first steps with the Memory Codex framework. You’ll learn how to install the framework, set up your development environment, and create your first Earth-grounded AI system.
- 1. Installation
- 1.1. Quick Start
- 1.2. Optional Dependencies
- 1.3. Building Documentation
- 1.4. Using pip (Recommended)
- 1.5. From Source
- 1.6. Using Docker
- 1.7. Setting Up API Keys
- 1.8. GPU Configuration
- 1.9. Data Storage Configuration
- 1.10. Common Issues
- 1.11. Getting Help
- 1.12. Python Requirements
- 1.13. Installing from PyPI
- 1.14. System Dependencies
- 1.15. Additional Dependencies
- 1.16. Building Documentation
- 2. Quickstart
- 3. Configuration
Installation
Before diving into Memory Codex, you’ll need to set up your development environment. The framework requires Python 3.10 or higher and some additional system dependencies depending on your intended use.
See Installation for detailed installation instructions.
Quick Start Guide
Once you have Memory Codex installed, you can begin exploring its capabilities. This section walks you through creating a simple Earth observatory that collects and analyzes environmental data.
See Quickstart for a hands-on introduction to the framework.
Configuration
Memory Codex can be configured to work with various data sources, memory tiers, and processing pipelines. This section covers the essential configuration options you’ll need to get started.
See Configuration for detailed configuration instructions.
Next Steps
After completing this chapter, you’ll have a working Memory Codex installation and understand the basic concepts. The following chapters will dive deeper into:
Core concepts and theoretical foundations
Memory system architecture and design
Data integration and processing
Practical applications and case studies
Each section builds upon the knowledge from previous chapters, so we recommend following them in sequence.