#Coze agents
176 related articles
·3 min
The Complete Guide to AI-Native Architecture: RAG, Agents, and MCP
A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.
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·2 min
AI Agents 101: The Core Difference Between LLMs and Agents, and How They're Built
What is an AI agent? How does it differ from a large language model? Learn the core concepts, the Agent formula (LLM + Workflow + Knowledge Base), and how to choose between Dify, LangChain, and LlamaIndex.
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·2 min
Building a RAG Knowledge Base with Dify: A Zero-Code Guide from Basics to Enterprise Practice
Learn how to build a RAG knowledge base with zero code using Dify's visual platform. Compare Dify vs Coze for private deployment, and master the Dify+Qwen+RAG stack.
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·2 min
Complete Tutorial: Building Agents and Personal Knowledge Bases with DeepSeek
A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.
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·3 min
Coze Expert Agent: A Complete 5-Step Guide to Building an AI Collaborative Team
Learn how to build a reusable AI work team in 5 steps using Coze Expert Agents — create agents, set up projects, invite members, and assign tasks efficiently.
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·2 min
Getting Started with n8n: A Deep Dive into the Open-Source Workflow Automation Platform
A deep dive into n8n: 500+ integration nodes, low-code visual workflows, and AI capabilities. How it compares to Dify and Coze, plus China localization challenges.
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·3 min
Coze Deep Dive: Multi-Agent Collaboration Platform Features & Usage Guide
A comprehensive guide to Coze by ByteDance: multi-agent collaboration, local tool integration, cross-platform sync, and credit system. Compare with Dify to get started fast.
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·2 min
AI Agent Development Roadmap: A Four-Stage Guide from Zero to Production
A four-stage AI Agent development roadmap: from core theory and ReAct paradigm to multi-agent collaboration and production deployment. Covers DeepSeek, Coze, Dify, and more.
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·3 min
Coze Deep Dive: Multi-Agent Collaboration Platform Architecture and Usage Guide
Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.
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·3 min
Coze Deep Dive: Core Capabilities and Tips for a Multi-Agent Collaboration Platform
A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.
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·2 min
The Four Core Concepts of AI Agents Explained: Function Calling, Tool, MCP, and Skill
A clear breakdown of the four core AI Agent concepts: Function Calling, Tool, MCP, and Skill — understand the full tech stack behind intelligent agent development.
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·2 min
The Real Moat of AI Agent Builder Platforms: From Demo to Trust on Day 30
One-click deploy is just the beginning. The real value of AI Agent platforms lies in draft-test-publish workflows, version rollback, and permission control. Learn why Day 30 is the true benchmark.
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·2 min
Dify 1.8.0 Hands-On Tutorial: Deploy and Build Your AI Application Platform from Scratch
A hands-on guide to deploying Dify 1.8.0, covering setup steps, Workflow vs. Chatflow differences, RAG knowledge base, and MCP support for AI app development.
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·2 min
Vibe Coding: The Full-Stack AI Development Methodology for the Solo Founder Era
Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.
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·2 min
Zero Prompts! Turn Your Design Mockup into a Promo Video with One Skill
LibTV's 'Screenshot to Promo Video' Skill lets designers generate promo videos by simply uploading a mockup — no prompts, no MCP setup required.
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·2 min
AI Agent Development in Practice: A Complete Guide to Framework Selection, Tool Calling, and Production Deployment
A comprehensive guide to AI Agent development: covering Agent vs. Chatbot differences, framework selection, tool calling design, RAG pipeline setup, and production deployment best practices.
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·3 min
AI Agents Are Reshaping Software Testing: A Practical Guide from Cursor to LangChain
A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.
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·2 min
Coze No-Code AI Agent Development: A Complete Guide from Getting Started to Deployment
Build AI agents without coding! This guide covers Coze's visual workflows, 60+ plugins, RAG knowledge bases, and persistent memory — plus version selection tips for beginners.
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·2 min
AI Agent Primer: The Core Differences Between Workflows and Intelligent Agents — and How to Build Them
Explore the key differences between AI Agents and workflows, and how LLMs evolve from reasoning to execution. Covers ReAct, task decomposition, enterprise value, and Python+LangChain development.
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·2 min
Dify vs Coze: Open-Source Self-Hosting or Cloud-Based Out-of-the-Box?
Coze vs Dify: a deep-dive comparison covering deployment, data security, and ease of use. Find out which AI agent platform suits individual developers vs. enterprises.
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