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CodeFuse-muAgent
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CodeFuse-muAgent

Active·★ 776·NOASSERTION·Updated 2025-01-15
★ Trending

An Innovative Agent Framework Driven by KG Engine

muAgent is an innovative agent framework driven by Large Language Models (LLM) and Eventic Knowledge Graph (EKG). It collaboratively utilizes multi-agent, function calling, and code interpreter capabilities to assist in executing complex SOPs under human guidance, especially validated in complex DevOps scenarios.

#Agent Framework#Knowledge Graph#Large Language Models#Multi-Agent Systems#DevOps#Coding#Data Analysis
$ Install
$ pip install codefuse-muagent
↗ Visit site★ GitHub
01

Features

01EKG Builder for virtual team design, intelligent document parsing, and one-click import.
02EKG Assets for comprehensive KG Schema design (Intention, Workflow, Tool, Character Nodes) to automate SOPs and enable human-involved processes.
03EKG Reasoning allowing LLMs to operate under human guidance, facilitating flexible exploration and documentation of successful experiences.
04Visual debugging and automatic documentation of execution paths, along with end-to-end monitoring during online execution.
05Unified message pooling for categorized message delivery and subscription, supporting long-context handling through retrieval, rerank, and distillation.
02

Compatibility

Docker
Native
Verified via docs
Large Language Models
Supported
Verified via docs
Swagger Protocol
Supported
Verified via docs
03

Quick start

1
$ pip install codefuse-muagent
04

Use cases

↳Automating complex DevOps scenarios.
↳Building multiplayer text-based games.
↳Executing various complex standard operating procedures (SOPs) under human guidance.
05

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CodeFuse-muAgent AlternativesBest Vision / Multimodal Tools 2026Open Source Vision / MultimodalCodeFuse-muAgent TutorialCodeFuse-muAgent Vs CompetitorsAgent FrameworkKnowledge GraphLarge Language Models

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 776
Last commit1y ago
StatusActive
LicenseNOASSERTION
CategoryVision / Multimodal
Trend (30d)
+31↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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