#Feishu
175 related articles
·4 min
Kimi Agent Cluster in Practice: One Person Commanding 300 AIs to Collaboratively Build a Website
Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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·2 min
Deep Dive into n8n Workflow Platform: Core Capabilities and Suitability Assessment for China
Deep dive into n8n's core capabilities including 500+ nodes, AI Agent building, and RAG integration, with an objective analysis of its limitations and suitability for use in China.
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·3 min
Hermes Agent Deep Dive: Anatomy of a Self-Evolving AI Agent Architecture
Deep dive into Hermes Agent's core architecture including the Skills system, GPA governance mechanism, and 47 built-in tools. Learn how Hermes self-evolves to get smarter with use.
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·3 min
Hermes Agent Practical Guide: An AI Agent That Gets Smarter the More You Use It
Deep dive into the Hermes Agent framework's core architecture, including the Skills system and steering engineering. Real-world tests show 60%+ task completion speed improvement. Complete guide covering local deployment, Feishu integration, and self-evolving learning loops.
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·3 min
Hermes Agent: How a Self-Evolving AI Framework Earned 120K Stars in Two Months
Deep dive into Hermes Agent, the open-source AI Agent framework with lower Token costs, persistent long-term memory, and self-learning evolution that earned 120K GitHub stars in two months.
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·3 min
Why Is HTML Exploding in Popularity Again in the AI Era? The Logic Behind Silicon Valley Leaders' Collective Endorsement
The Claude Code team calls HTML "unreasonably effective" and Silicon Valley leaders like Karpathy agree. Learn why HTML is resurging in the AI era and how to use AI+HTML for rapid prototyping.
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·3 min
MiniMax Code Hands-On Review: How AI Development Team Mode Redefines Programming Collaboration
In-depth review of MiniMax Code (MCode) Agent Team collaboration through Starbucks financial visualization and Next.js website development cases.
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·2 min
Illusion Code In-Depth Review: 34+ Tools and 7 Agents Working in Harmony as an AI Coding Assistant
In-depth review of Illusion Code CLI AI coding assistant: 34+ core tools, 7 specialized Agents, three permission modes, and Chinese ecosystem support, compared with Claude Code, Codex, and OpenCode.
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·2 min
Analyzing Mach's All-In Strategy: Can the Ambition of Doing Everything at Once Succeed?
Deep analysis of Mach founder Ethan Thornton's differentiated strategy. While most AI startups focus on one track, Mach goes all-in on multiple fronts simultaneously.
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·3 min
Coze Workflow Development Tutorial: A Complete Guide to Building AI Apps with Zero Code
Complete guide to Coze workflow development covering Agent building, node orchestration, plugin systems, API integration, and a Coze vs Dify comparison.
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·4 min
Harness Engineering in Practice: Taming AI Agents with Hermes Agent
Deep dive into Harness Engineering: using the open-source Hermes Agent framework's four-layer memory system and Skill evolution to build controllable, evolvable AI agents.
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·4 min
HAMAS Multi-Agent Framework in Practice: A Guide to Building 5 AI Personas Working in Harmony
Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.
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·3 min
Hermes Agent Practical Tutorial: Architecture Analysis and Three Automation Project Builds
Complete guide to Hermes Agent from basics to practice, covering architecture analysis, Rules.md configuration, MCP service integration, and three hands-on projects: AI news bot, auto blog development, and scheduled code review.
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·2 min
Kun: Open-Source DeepSeek Smart Desktop Client with 4.4K Stars on GitHub
Kun is an open-source DeepSeek desktop client with 4.4K GitHub Stars, featuring Agent auto-coding, smart writing, and phone-to-PC remote control.
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·2 min
Coze Agent in Practice: Building an AI Test Case Generation Workflow from Scratch
Learn how to build an AI test case generation agent on Coze, covering agent vs. LLM differences, workflow orchestration, model selection, and prompt engineering tips.
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·1 min
Hermes Agent in Practice: Let AI Take Over Your Daily Chores
A hands-on look at the Hermes client: from project analysis and messaging integration to tool calling, see how Hermes Agent takes over daily tasks.
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·3 min
Complete Guide to the Coze Platform: Build AI Agents with Zero Code
A deep dive into ByteDance's Coze platform: zero-code AI agent development, China vs. international editions, use cases, and how non-technical users can quickly build AI applications.
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·4 min
Agent Tool Selection Guide: A Comprehensive Comparison of API, CLI, MCP, Browser Use, and Computer Use
Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.
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·4 min
Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment
Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.
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