LiteMultiAgent is a Python-based multi-agent orchestration framework that enables developers to define, configure, and coordinate autonomous language model agents. It features role-based profiles, shared and private memory management, asynchronous execution, and plugin support for seamless extension across diverse automation workflows.
AI Platforms & Frameworks
Tool Libraries
#AI Agents
#multi-agent systems
#modular SDK
#role-based profiles
#asynchronous execution
#agent communication
#memory management
#plugin integration
#customizable workflows
#scalable automation
#logging utilities
#Rapid Prototyping
#data pipelines
#collaborative AI
#execution loops
#Task Automation
#lightweight framework
#conversation monitoring
#external tool integration
#agent orchestration
...
Promote this Tool
Update this Tool
LiteMultiAgent
LiteMultiAgent is a Python-based multi-agent orchestration framework that enables developers to define, configure, and coordinate autonomous language model agents. It features role-based profiles, shared and private memory management, asynchronous execution, and plugin support for seamless extension across diverse automation workflows.
AI Platforms & Frameworks
Tool Libraries
#AI Agents
#multi-agent systems
#modular SDK
#role-based profiles
#asynchronous execution
#agent communication
#memory management
#plugin integration
#customizable workflows
#scalable automation
#logging utilities
#Rapid Prototyping
#data pipelines
#collaborative AI
#execution loops
#Task Automation
#lightweight framework
#conversation monitoring
#external tool integration
#agent orchestration
...
Featured
What is LiteMultiAgent?
LiteMultiAgent offers a modular SDK for building and running multiple AI agents in parallel or sequence, each assigned unique roles and responsibilities. It provides out-of-the-box memory stores, messaging pipelines, plugin adapters, and execution loops to manage complex inter-agent communication. Users can customize agent behaviors, plug in external tools or APIs, and monitor conversations through logs. The framework’s lightweight design and dependency management make it ideal for rapid prototyping and production deployment of collaborative AI workflows.
Who will use LiteMultiAgent?
- AI researchers
- Software engineers
- Data scientists
- Product teams
- Automation specialists
How to use the LiteMultiAgent?
- Step1: Install via pip install litemultiagent
- Step2: Import LiteMultiAgent classes in Python
- Step3: Define agent roles and profiles
- Step4: Configure memory stores and plugins
- Step5: Create an orchestrator and register agents
- Step6: Run the orchestrator to start interactions
- Step7: Analyze agent outputs and adjust parameters
Platform
- mac
- windows
- linux
LiteMultiAgent's Core Features & Benefits
The Core Features
- Multi-agent orchestration
- Role-based agent profiles
- Shared and private memory management
- Plugin integration for external tools
- Asynchronous execution engine
- Logging and monitoring utilities
The Benefits
- Modular and extensible architecture
- Rapid prototyping of multi-agent workflows
- Lightweight and easy to install
- Customizable memory and tool integrations
- Scalable to complex task automation
LiteMultiAgent's Main Use Cases & Applications
- Automated customer support dialogues using multiple specialist agents
- Collaborative content generation with writer, editor, and fact-checker agents
- Simulated negotiation scenarios between buying and selling agents
- Research into emergent behaviors in large-scale agent teams
- Coordinated data collection and analysis workflows
FAQs of LiteMultiAgent
LiteMultiAgent Company Information
LiteMultiAgent Reviews
5/5
LiteMultiAgent's Main Competitors and alternatives?
- LangChain Agents
- MetaGPT
- AutoGPT
- Microsoft Orleans
- Haystack multi-agent
You may also like:
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
Salesloft is an AI-driven platform enhancing sales engagement and workflow automation.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
An AI-driven RAG pipeline builder that ingests documents, generates embeddings, and provides real-time Q&A through customizable chat interfaces.
BrandCrowd offers customizable logos, business cards, and social media designs with thousands of templates.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Skywork AI is an innovative tool to enhance productivity using AI.
Five9 AI Agents enhance customer interactions with intelligent automation.
Mosaic AI Agent Framework enhances AI capabilities with data retrieval and advanced generation techniques.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
NVIDIA Cosmos empowers AI developers with advanced tools for data processing and model training.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.