#multi-agent workflows
876 related articles
Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
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Product Reviews·3 min
Aix-DB Open-Source Framework: A Multi-Agent Approach to Natural Language Database Querying
Deep dive into Aix-DB: an open-source multi-agent framework using LangChain/LangGraph and MCP protocol for natural language to SQL, data analysis, and visualization.
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Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
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Product Reviews·3 min
Cursor In-Depth Review: Four Modes + Parallel Agents — Why It Remains the Best AI Coding Tool
In-depth comparison of Cursor vs Claude Code, Windsurf, Trae, and other AI coding tools across Agent modes, terminal tools, browser integration, parallel processing, and context management.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
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Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
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Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·3 min
98 Expert Agents Working in Concert: A Deep Dive into an Open-Source Multi-Agent Orchestration Framework
Deep dive into a trending open-source multi-agent framework with 98 expert agents, swarm orchestration, HNSW vector memory, autonomous learning, and Agent Federation for distributed collaboration.
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Tutorials·4 min
LangChain Deep Agents in Practice: Ten Agent Development Pain Points and Their Solutions
Deep dive into LangChain Deep Agents paradigm, analyzing ten Agent development pain points including tool sprawl and context pollution, with practical enterprise solutions using Deep Research.
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Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
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