muAgent

An innovative agent framework driven by a knowledge graph engine.

CommonProductProgrammingAgent FrameworkKnowledge Graph

muAgent is an innovative agent framework powered by a knowledge graph engine, supporting multi-agent orchestration and collaboration technology. It leverages LLM + EKG (Eventic Knowledge Graph for industry knowledge) technology, integrating FunctionCall, CodeInterpreter, and more, to automate complex SOP processes through drag-and-drop canvas design and lightweight text scripting. muAgent is compatible with various existing agent frameworks and features core functionalities such as complex reasoning, online collaboration, human interaction, and knowledge accessibility. This framework has been validated in multiple complex DevOps scenarios at Ant Group.

Multi-agent orchestration: Supports cooperation among multiple agents to improve task handling efficiency.
Knowledge graph engine: Utilizes EKG technology for structured storage and efficient retrieval of knowledge.
FunctionCall: Allows agents to call external functions
expanding their functional scope.
CodeInterpreter: Enables agents to execute code
achieving complex logic.
Drag-and-drop canvas: Provides an intuitive interface to simplify agent orchestration.
Lightweight text scripting: Quickly configure agent behaviors through simple text commands.
Compatibility with existing agent frameworks: Seamlessly integrate with current technologies
reducing migration costs.

The target audience includes enterprises and developers who require the automation of complex processes
particularly those seeking innovative solutions in DevOps
automated testing
and intelligent customer service. muAgent provides robust automation and intelligent support through its multi-agent orchestration and knowledge graph engine
helping users enhance efficiency and reduce manual intervention.

In DevOps scenarios
muAgent can automate deployment processes to reduce human errors.
In automated testing
muAgent can coordinate multiple testing agents to enhance test coverage.
In intelligent customer service systems

Step 1: Clone the muAgent project to your local machine using git commands.
Step 2: Navigate to the project directory and prepare the runtime environment.
Step 3: Use docker-compose to start all container services and wait for the EKG base image to build.
Step 4: Refer to the documentation and examples to configure agents and functionalities.
Step 5: Orchestrate agent behaviors using drag-and-drop on a canvas and lightweight text scripting.

Visit

muAgent Visit Over Time

Monthly Visits

503747431

Bounce Rate

37.31%

Page per Visit

5.7

Visit Duration

00:06:44

muAgent Visit Trend

muAgent Visit Geography

muAgent Traffic Sources

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