Multi-Agent AI

Exploring the Architecture of Leading AI Giants: The Controversy and Trade-offs Between Single-Agent and Multi-Agent Systems

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Exploring the Architecture of Leading AI Giants: The Controversy and Trade-offs Between Single-Agent and Multi-Agent Systems

In the field of AI, the discussion on “how to build agents” is intensifying. The two leading teams, Cognition, known for “Devin,” and the emerging giant Anthropic, have published seemingly opposing viewpoints titled “Do Not Build Multi-Agents” and “How We Build Multi-Agent Research Systems” respectively. However, a deeper analysis reveals that the core ideas of … Read more

Multi-Agent: Grounded Thoughts from Toy to Tool

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Multi-Agent: Grounded Thoughts from Toy to Tool

Multi-Agent System: Grounded Thoughts from Geek Toy to Production Tool 01 Pains of AI Products 😣 Recently, while drinking with a few colleagues working on AI products, one of them suddenly slammed the table: “These people working on AI are always bragging about Copilot, what’s the difference from when O2O was all the rage?” This … Read more

Multi-Agent Architecture Practice: How to Build ComfyUI-Copilot V2.0 with 2.8k GitHub Stars

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Multi-Agent Architecture Practice: How to Build ComfyUI-Copilot V2.0 with 2.8k GitHub Stars

Background of ComfyUI ComfyUI is the “Lego block” in the Stable Diffusion ecosystem. It transforms AI-generated images into a visual programming game. Unlike the “dumb camera” operation of WebUI, every function here is an assemblable node: drag and drop the “prompt” node to connect to the “sampler”, then attach “ControlNet” to adjust poses… It builds … Read more

Building an Intelligent Agent for Children’s Storybooks Using Workflow and Multi-Agent Modes in Just One Minute

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Building an Intelligent Agent for Children's Storybooks Using Workflow and Multi-Agent Modes in Just One Minute

Case Practice: Children’s StorybookPractice Approach: Attempting both Workflow and Multi-Agent modesPractice Platform: Tencent Cloud Intelligent Agent Development Platform First, the conclusion : The Multi-Agent mode is extremely simple; after adding plugins and prompts, you can start generating, saving time and effort! However, the images are currently not tiled; the Workflow mode takes more time, but … Read more

Fully Automated from Requirements to Development: How to Build an AI Front-End Engineer Based on Multi-Agent Architecture

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Fully Automated from Requirements to Development: How to Build an AI Front-End Engineer Based on Multi-Agent Architecture

Ali Mei’s Introduction This article delves into the technical practices and core thoughts behind the Multi-Agent intelligent platform “Tiangong Wanxiang” developed by the Ant Financial front-end team. The emergence of AutoGPT in 2023 marks a new stage for Agents, combining the capabilities of GPT-3.5 and GPT-4.0 to accomplish complex project tasks. At that time, limited … Read more

Spring AI Alibaba Multi-Agent Architecture: Collaboration of React and Reflection Agents

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Spring AI Alibaba Multi-Agent Architecture: Collaboration of React and Reflection Agents

Spring AI Alibaba Multi-Agent Architecture: Collaboration of React and Reflection Agents In the previous articles, we learned about the reasoning-action capabilities of the React Agent and the self-reflection mechanism of the Reflection Agent. Now, let’s explore how to combine these two agents to build a more powerful Multi-Agent collaboration system. Collaboration of Agents Review: Types … Read more

RAGFlow 0.20.0: Multi-Agent Deep Research

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RAGFlow 0.20.0: Multi-Agent Deep Research

Deep Research The Core Capability of the Agent Era 2025 is referred to as the year of the Agent’s implementation, and one of the most representative scenarios unlocked is Deep Research or various applications based on it. Why is this the case? Because through Agentic RAG and its accompanying reflection mechanism, Deep Research drives LLM … Read more

Deconstructing Multi-Agent Technology

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Deconstructing Multi-Agent Technology

1.What is Multi-Agent What is an agent? An agent is an entity or program that can autonomously perceive the environment, analyze information, and take actions to achieve specific goals. Currently, they are mainly divided into two schools: workflows and agents, which have an architectural distinction. Workflows: A system that orchestrates large language models and tools … Read more

The Flexible Orchestration Path of Multi-Agent Systems

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The Flexible Orchestration Path of Multi-Agent Systems

This article starts from the planning module in the Copilot 3.0 architecture, combining the reinforcement learning (GRPO) training practices of DeepSeek R1, to explore how large models can flexibly orchestrate multiple agents under a multi-agent architecture to better solve practical problems. GRPO Training Table Background 1. Business Scenario Merchants operate Copilot as a professional business … Read more

Analysis of Multi-Agent Architecture – DeerFlow

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Analysis of Multi-Agent Architecture - DeerFlow

Hello everyone, this is AI Universe. In the current rapid evolution of artificial intelligence technology, the Multi-Agent architecture is becoming a core engine driving breakthroughs in AI applications due to its efficient collaboration capabilities for complex tasks. The explosive growth of this technology is closely related to the limitations of large language models — although … Read more