PathOnAIAbstract
We introduce LiteMultiAgent, an open-source hierarchical multi-agent framework for building scalable and efficient agent systems. LiteMultiAgent addresses the limitations of existing multi-agent frameworks by providing a flexible, hierarchical structure that enables efficient task delegation, parallel execution, and specialized agent capabilities.
- Hierarchical Agent Design: A layered approach that categorizes agents with different tool sets into hierarchies for scalable task management.
- Tool Registry & Agent Factory: Flexible system allowing users to register custom tools and create specialized agent hierarchies for different tasks.
- Composite Agent Architecture: Enables agents to utilize both function tools and sub-agents as tools, with natural parallelization through function calling.
LiteMultiAgent provides researchers and developers with a comprehensive toolkit for creating efficient multi-agent systems that can handle complex, multi-domain tasks through specialized agents working in a coordinated hierarchy.
Framework Overview
The LiteMultiAgent framework presents a hierarchical approach to multi-agent systems, enabling scalable and efficient task delegation across specialized agents.
Agent Types
Atomic Agents
Atomic agents utilize function tools to perform specific tasks. These agents are the building blocks of the hierarchy, specializing in particular domains or functionalities.
Composite Agents
Composite agents can utilize both function tools and sub-agents as tools. This design enables natural parallelization through function calling, as agents can delegate tasks to specialized sub-agents.
Function Calling Agents
Designed to interact with tools through function calls, these agents excel at executing specific, well-defined tasks within their domain of expertise.
React Agents
Implement a reasoning-action cycle for complex problem-solving, analyzing tasks, planning solutions, and adapting to changing conditions during execution.
High-Level Planning Agents
Focus on strategic planning and task decomposition, breaking complex tasks into simpler subtasks that can be delegated to specialized sub-agents.
System Architecture
The LiteMultiAgent system consists of three main components:
Tool Registry
Centralized repository for registering and managing tools that agents can use. Supports custom tool integration and standardizes tool interfaces across the system.
Agent Factory
Creates specialized agents with specific tool sets and capabilities, enabling the dynamic construction of agent hierarchies tailored to particular tasks.
Agent Manager
Coordinates agent interactions and task delegation, managing the flow of information through the hierarchy and ensuring efficient collaboration between agents.
Key Features
Hierarchical Task Delegation
Enables efficient management of complex tasks by breaking them down into subtasks and delegating them to specialized agents, creating a scalable workflow for multi-domain problem-solving.
Natural Parallelization
Sub-agents can be executed in parallel through function calling, allowing multiple tasks to be processed simultaneously and significantly improving overall system efficiency.
Flexible Integration
Seamlessly integrates with other frameworks like LiteWebAgent, combining hierarchical multi-agent capabilities with web browsing functionalities for enhanced system capabilities.
Extensible Architecture
Designed for easy extension and customization, allowing researchers and developers to add new agent types, tools, and specialized hierarchies to address unique requirements.
Implementation Examples
Multi-Domain Research Assistant
A hierarchical system of agents that can research topics across multiple domains, with specialized agents for web search, document analysis, data visualization, and report generation working together to produce comprehensive research outputs.
Task Automation System
A system that combines web automation capabilities with data processing and analysis tools, enabling complex workflows that span multiple applications and services through a hierarchy of specialized agents working in coordination.
Get Started
Interested in trying LiteMultiAgent? Our open-source implementation provides researchers and developers with a flexible framework for building efficient hierarchical multi-agent systems.
pip install litemultiagent