LLM Multi Agent

OpenManus Technical Analysis - Architecture and Implementation of an Open-Source Agent Framework

OpenManus is an open-source agent framework designed to enable users to perform complex tasks through simple instructions, featuring a modular architecture with core components like the Agent Layer, Tool Layer, and LLM Interaction Layer. It supports tasks such as programming, web browsing, and file processing, offering a flexible and extensible platform for building AI agents, with future plans to enhance planning capabilities, expand tool sets, and improve user experience.

AI Agent

This blog is a brief summary of the Agent application section in the paper "Agent AI： Surveying the Horizons of Multimodal Interaction" by Professor Fei-Fei Li et al.

Agentic AI：The Key to Unlocking a New Era of Intelligence

A summary of OPENAI's paper "Practices for Governing Agentic AI Systems," discussing the potential benefits of Agentic AI and how to maintain its safety.

AutoGen

An Open-Source Programming Framework for Agentic AI.

LangChain

LangChain is a framework for developing applications powered by large language models.

MCP

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.