An agent is a system that uses LLM to determine the control flow of applications. As you develop these systems, they may become more complex over time, making them harder to manage and scale. For example, we may encounter the following issues: There are too many tools that agents can use, making it overly complex … Read more
How to Pass Private Data Between Nodes In some cases, you may want nodes to exchange information that is crucial to the intermediate logic but does not need to be part of the main architecture of the graph. This private data is unrelated to the overall input/output of the graph and should only be shared … Read more
• Hello everyone, I am student Xiao Zhang, sharing AI knowledge and practical cases daily. • Welcome to like + follow 👏, continuous learning, and continuous output of valuable content. • +v: jasper_8017 let’s communicate 💬 and progress together 💪. Article Overview in the Official Account So far, I have systematically studied two intelligent agent … Read more
In the last section, we mainly used Command to implement the transfer of multiple agents. In this section, we will learn how to use tools to achieve this functionality. Tool for Implementing Transfer We have clearly defined custom transfers in each agent node. Another pattern is to create a special handoff tool that directly returns … Read more
Let’s use Cohere’s new ⌘R 7B to build a Multi-Agent AI news generator. Before we start, let’s take a look at what we are building! The application takes user queries, searches the web, and transforms them into a well-crafted news article, complete with citations! Technology Stack: LLM: Cohere ultra-fast ⌘R 7B (can also be replaced … Read more
Hello everyone, I am 【Student Xiao Zhang】. Continuous learning and output of practical knowledge, follow me to learn AI large model technology together! Overview of Articles on Public Account If you have any questions, feel free to add me on WeChat: jasper_8017, looking forward to discussing and progressing together with like-minded friends! This series of … Read more
—1— Top 5 Multi-Agent Frameworks In the era of AI large models, Multi-Agent technology is increasingly capturing the attention of major tech giants. With the launch of frameworks such as OpenAI’s Swarm and Microsoft’s Magentic-One, the development in this field has become more intricate. Choosing the most suitable Multi-Agent framework that meets the specific needs … Read more
Quick Overview:This article lists the pros and cons of five major multi-agent AI frameworks: AutoGen (Microsoft), LangGraph (LangChain), CrewAI, OpenAI Swarm (OpenAI), and Magentic-One (Microsoft), and explains which agent framework excels in different usage scenarios. Editor’s Note: The current development of AI technology is advancing rapidly, and multi-agent frameworks are emerging like mushrooms after rain. … Read more
Content Source: https://cookbook.openai.com/examples/orchestrating_agents https://github.com/openai/swarm?tab=readme-ov-file AI Multi-agent Concept and Origins When using language models, achieving stable performance usually only requires a good prompt and the right tools. However, things can get tricky when dealing with many unique processes. Basic Concepts: 1.Routines: The concept of a routine is not strictly defined, but is intended to capture the … Read more
Author: Chen Dihao — Senior Engineer at SF Technology AI Platform Responsible for AI and large model infrastructure functions at SF Group, previously served as platform architect at Fourth Paradigm and PMC for OpenMLDB project, and has been an architect for Xiaomi’s cloud deep learning platform and head of storage and container team at USTC. … Read more