Announcement
A Lightweight, Powerful Framework for Multi-Agent Workflows
Explore this lightweight yet powerful Python framework designed for orchestrating complex workflows involving multiple AI agents. Simplify agent interaction, task management, and state handling.
Project Introduction
Summary
This project is a Python framework for building and managing multi-agent workflows. It offers a lightweight and powerful way to define how different AI agents interact and cooperate to accomplish tasks.
Problem Solved
Effectively coordinating multiple AI agents to collaboratively achieve a complex goal can be challenging. This framework provides the necessary structure and tools to define, manage, and execute multi-agent workflows reliably.
Core Features
Agent Orchestration
Define and manage interactions between multiple AI agents within a structured workflow.
Task Management
Handle tasks and transitions between agents seamlessly, ensuring efficient workflow execution.
Tech Stack
使用场景
This framework can be applied in various scenarios requiring the collaboration of multiple intelligent agents, such as:
Scenario 1: Automated Customer Support Flow
Details
Implement an automated customer support system where agents handle different aspects like initial query classification, FAQ lookup, and escalation to human support.
User Value
Reduces response times and improves support efficiency by intelligently routing and processing customer queries.
Scenario 2: Simulation and Modeling
Details
Build simulations where multiple agents interact within an environment, such as economic modeling, game AI, or complex system simulations.
User Value
Enables the design and execution of complex agent-based simulations for research and analysis.
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