A modular AGI agent framework based on MCP (Multi-Context Processing), inspired by Manus, with ChatGPT-style LLM integration and task control.
Overview
What is AGI-MCP-Agent?
AGI-MCP-Agent is an open-source intelligent agent framework designed to explore and implement advanced agent capabilities through a Master Control Program (MCP) architecture, inspired by Manus, with ChatGPT-style LLM integration and task control.
How to use AGI-MCP-Agent?
To use AGI-MCP-Agent, clone the repository from GitHub, install the necessary dependencies, set up your environment variables, and run the development server using either Poetry or Docker.
Key features of AGI-MCP-Agent?
- Modular architecture for flexible agent development
- Integration with various tools and APIs
- Multi-agent coordination and communication
- Cognitive processing capabilities including planning and decision-making
- Environment interface for standardized external interactions
Use cases of AGI-MCP-Agent?
- Developing autonomous agents for complex problem-solving
- Coordinating multiple agents for collaborative tasks
- Experimenting with AI capabilities in research and development
FAQ from AGI-MCP-Agent?
- Is AGI-MCP-Agent suitable for all types of AI projects?
Yes! It is designed to be flexible and extensible for various AI applications.
- What programming languages are used in AGI-MCP-Agent?
The backend is primarily developed in Python, with a React frontend.
- How can I contribute to AGI-MCP-Agent?
Contributions are welcome! Please check the Contributing Guidelines in the repository.