codefuse-ai/CodeFuse-muAgent
A multi-agent framework using LLM and Eventic Knowledge Graph (EKG) engine for orchestrating agents with RAG, function calling, and code interpretation capabilities.
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muAgent is an open-source agent framework that leverages LLMs combined with a Knowledge Graph engine to orchestrate multi-agent systems. It provides tool registration, memory management, and parallel execution capabilities. The framework integrates RAG for retrieval-augmented generation, supports function calling, and includes a code interpreter for executing generated code. Version 2.2 includes an SDK for programmatic agent deployment.
Frequently asked
- What is codefuse-ai/CodeFuse-muAgent?
- A multi-agent framework using LLM and Eventic Knowledge Graph (EKG) engine for orchestrating agents with RAG, function calling, and code interpretation capabilities.
- Is CodeFuse-muAgent open source?
- Yes — codefuse-ai/CodeFuse-muAgent is an open-source project tracked on heatdrop.
- What language is CodeFuse-muAgent written in?
- codefuse-ai/CodeFuse-muAgent is primarily written in Python.
- How popular is CodeFuse-muAgent?
- codefuse-ai/CodeFuse-muAgent has 774 stars on GitHub.
- Where can I find CodeFuse-muAgent?
- codefuse-ai/CodeFuse-muAgent is on GitHub at https://github.com/codefuse-ai/CodeFuse-muAgent.