Multi-Agent Coordination is a Python-based open-source framework by Ankur Tutlani. It offers tools to register, orchestrate, and manage multiple AI agents working together on complex tasks, with support for custom communication strategies and built-in logging.
AI Platforms & Frameworks
Workflow Automation
#multi-agent coordination
#AI task management
#collaborative problem solving
#agent API
#task orchestration
#message routing
#concurrent processing
#logging and monitoring
#custom agent behaviors
#workflow development
#Open-source AI
#distributed systems
#agent discovery
#communication strategies
#modular design
#integrated systems
#performance optimization
#scalable architecture
#AI Frameworks
#Developer Tools
...
Promote this Tool
Update this Tool
Multi-Agent Coordination
Multi-Agent Coordination is a Python-based open-source framework by Ankur Tutlani. It offers tools to register, orchestrate, and manage multiple AI agents working together on complex tasks, with support for custom communication strategies and built-in logging.
AI Platforms & Frameworks
Workflow Automation
#multi-agent coordination
#AI task management
#collaborative problem solving
#agent API
#task orchestration
#message routing
#concurrent processing
#logging and monitoring
#custom agent behaviors
#workflow development
#Open-source AI
#distributed systems
#agent discovery
#communication strategies
#modular design
#integrated systems
#performance optimization
#scalable architecture
#AI Frameworks
#Developer Tools
...
Featured
What is Multi-Agent Coordination?
Multi-Agent Coordination provides a lightweight API to define AI agents, register them with a central coordinator, and dispatch tasks for collaborative problem solving. It handles message routing, concurrency control, and result aggregation. Developers can plug in custom agent behaviors, extend communication channels, and monitor interactions through built-in logging and hooks. This framework simplifies the development of distributed AI workflows, where each agent specializes in a subtask and the coordinator ensures smooth collaboration.
Who will use Multi-Agent Coordination?
- AI researchers building multi-agent systems
- Software developers automating complex workflows
- Enterprises deploying collaborative AI solutions
- Hobbyists experimenting with agent-based architectures
How to use the Multi-Agent Coordination?
- Step1: Clone or install the repository via pip from GitHub.
- Step2: Import Coordinator and Agent base classes into your Python project.
- Step3: Define agent behaviors by subclassing Agent and implementing handle_message().
- Step4: Instantiate a Coordinator and register your agents with unique IDs.
- Step5: Submit tasks to the coordinator and await aggregated responses.
- Step6: Monitor interactions using the provided logging and callback hooks.
Platform
- mac
- windows
- linux
Multi-Agent Coordination's Core Features & Benefits
The Core Features
- Agent registration and discovery
- Centralized task orchestration
- Customizable communication strategies
- Concurrency and message routing
- Built-in logging and monitoring hooks
- Extensible agent behavior API
The Benefits
- Simplifies multi-agent workflow development
- Modular and extensible design
- Open-source and community-driven
- Scales across multiple processes
- Flexible communication and integration
Multi-Agent Coordination's Main Use Cases & Applications
- Collaborative document summarization by distributed agents
- Multi-agent customer support chatbot orchestration
- Parallel data processing pipelines
- Automated software testing across modules
- Game AI with specialized cooperating agents
FAQs of Multi-Agent Coordination
Multi-Agent Coordination Company Information
- Ankur Tutlani
Multi-Agent Coordination Reviews
5/5
Multi-Agent Coordination's Main Competitors and alternatives?
- LangChain Multi-Agent
- Ray RLlib Multi-Agent
- AutoGPT
- BabyAGI
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
LeanAgent is an open-source AI agent framework for building autonomous agents with LLM-driven planning, tool usage, and memory management.
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.
Skywork AI is an innovative tool to enhance productivity using AI.
Project Mariner is an AI agent designed for efficient data extraction and analysis.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
Microsoft Copilot enhances productivity by automating tasks across various applications.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
Twilio AI Assistants enable automated customer interactions via voice and text messaging.
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.
CACA Agent automates content generation and knowledge acquisition processes.
AI-driven platform for creating and deploying enterprise-grade AI systems and agents.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.