Introduction to Motte

What you'll learn

This guide will introduce you to Motte's core concepts and help you understand how to build powerful agentic systems.

What is Motte?

Motte is a comprehensive framework for building intelligent multi-agent systems. It provides five integrated tools that work together to create, train, and deploy AI agents that can reason, remember, and act autonomously.

Core Components

MotteRL

Reinforcement Learning engine for training and fine-tuning AI models using custom reward functions.

Training

MotteAF

Visual workflow designer for creating complex multi-agent interactions and processes.

Orchestration

MotteMB

Intelligent memory bank using vector embeddings for context-aware agent memory.

Memory

MotteTF

Tool integration platform for connecting external APIs and services to your agents.

Integration

MotteAW

Real-time monitoring and debugging interface for observing agent interactions and system performance.

Monitoring

Key Features

API-First Architecture: Simple integration with existing cloud services
Visual Workflow Design: Drag-and-drop interface for complex agent interactions
Vector Memory System: Semantic search and context-aware memory retrieval
Custom Training: Fine-tune models with your own reward functions
Real-time Monitoring: Live debugging and performance analytics
Tool Integration: Connect to any API or external service

Getting Started

Quick Start

Ready to build your first agent? Follow these steps to get started in under 10 minutes.

Architecture Overview

Motte follows a modular architecture where each component can be used independently or together as part of a larger system:

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   MotteRL   │    │   MotteAF   │    │   MotteMB   │
│  Training   │────│ Orchestrate │────│   Memory    │
└─────────────┘    └─────────────┘    └─────────────┘
       │                   │                   │
       └───────────────────┼───────────────────┘
                           │
                  ┌─────────────┐
                  │   MotteAW   │
                  │  Monitoring │
                  └─────────────┘
                           │
                  ┌─────────────┐
                  │   MotteTF   │
                  │    Tools    │
                  └─────────────┘

Use Cases

Customer Support Automation

Create intelligent support agents that can understand, research, and respond to customer inquiries.

Research & Analysis

Build research pipelines that can gather, analyze, and synthesize information from multiple sources.

Content Generation

Develop content creation workflows with multiple specialized agents for research, writing, and editing.

Data Processing

Create automated data processing pipelines with agents specialized for different stages of analysis.