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CodeFuse-muAgent - Ant Financial's CodeFuse team launches an open-source multi-agent framework.

CodeFuse-muAgent is a multi-agent framework developed by Ant Group's CodeFuse team. It uses a knowledge graph engine to drive the orchestration and collaboration of agents, simplifying the standard operating procedure orchestration process for agents. Through integration...

What is CodeFuse-muAgent?

CodeFuse-muAgent is a multi-agent framework developed by Ant Group's CodeFuse team. It uses a knowledge graph engine to drive the orchestration and collaboration of agents, simplifying the standard operation procedure orchestration process for agents. By integrating tool libraries, code libraries, and knowledge bases, it supports the rapid construction of complex agent interaction applications in various scenarios. The framework provides multiple agent types, such as question answering, tool usage, and code execution, and features communication, memory management, and custom model support, promoting effective collaboration between agents.

Main functions of CodeFuse-muAgent

  • Simplify complex processesBy collaborating with multiple agents, CodeFuse-muAgent breaks down complex workflows into smaller, more manageable tasks, simplifying the automation of complex processes.
  • Improve efficiencyAutomated standard operating procedures (SOPs) programming can help reduce manual operations and improve work efficiency and response speed.
  • Enhance decision supportIntegrating large-scale language models (LLMs) and event knowledge graphs (EKGs) helps agents perform complex reasoning and decision support, providing more accurate decision recommendations.
  • Promote innovationThe framework's flexibility and scalability encourage developers to try new ideas and solutions, driving technological innovation.
  • Improve user experienceThrough natural language processing and interaction, CodeFuse-muAgent provides more user-friendly services and improves the end-user experience.

The technical principle of CodeFuse-muAgent

  • Intelligent AgentIt provides four basic agent types, including BaseAgent, ReactAgent, ExecutorAgent, and SelectorAgent, to support basic activities in various scenarios.
  • CommunicationThe Message and Parse Message entities complete the information exchange between agents and interact with the Memory Manager to complete memory management in the Memory Pool.
  • Prompt Manager: Automated assembly of customized intelligent agents Prompt, through components such as Role Handler, Doc/Tool Handler, Session Handler, and Customized Handler.
  • Memory and State ManagementIt supports the management of chat history storage, information compression, memory retrieval, etc., and finally completes the storage in the database, local and vector database through the Memory Pool.
  • Component: Auxiliary ecological components for building intelligent agents, including Retrieval, Tool, Action, Sandbox, etc.

Project address for CodeFuse-muAgent

CodeFuse-muAgent Application Scenarios

  • Automated office processes:Automate routine office tasks such as document approval, data entry, and report generation to improve work efficiency.
  • Customer service automation:Provide 24/7 customer service by handling customer inquiries and issues through chatbots and automated response systems.
  • Intelligent monitoring and security:In security monitoring systems, intelligent agents are used for anomaly detection and response, thereby improving the level of intelligence in security management.
  • Personalized recommendation system:In e-commerce, content platforms, and other fields, personalized product or content recommendations are provided based on user behavior and preferences.
  • Education and training:Online education platforms offer personalized learning paths and real-time feedback to enhance the learning experience.
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