Agents & Models

This section provides technical deep dives into the agent architecture and language model integration within the MUXI Framework.

About This Section

The Agents & Models subsystem is the core of the MUXI Framework. This section explores the technical details of agent implementation, language model integration, multi-modal support, and orchestration mechanics.

What’s In This Section

• Agent Fundamentals - Core agent architecture and implementation
• Language Models - Model integration and provider interfaces
• Multi-Modal Support - Handling images, audio, and other modalities
• Orchestration - Multi-agent coordination and message routing

Prerequisites

Before diving into this section, we recommend:

• Understanding the basics of building agents
• Familiarity with language models like GPT-4, Claude, etc.
• Basic knowledge of Python programming
• Understanding of prompt engineering concepts

Implementation Details

The agent system includes several key technical features:

• Agent lifecycle management
• Message handling and processing
• Memory integration
• Tool and function calling
• Model provider abstraction
• Multi-agent orchestration

Related Topics

These topics are closely related to the agent system:

• MCP Fundamentals - How agents use external services
• Buffer Memory - Short-term agent memory
• REST API - API endpoints for agent management