If you want a structured way to understand AI agents, workflow design, and practical implementation paths, this page gathers the most relevant content from Kunpeng AI Lab into one thematic entry point.
Start with the core concepts of agents, frameworks, and common usage patterns.
Learn how workflow systems move from isolated prompts to repeatable multi-step execution.
Use project examples and skill resources to understand implementation in real environments.
In-depth comparison of AutoGen and CrewAI, two leading AI Agent frameworks. Code examples, performance benchmarks, selection guide, and best practices from real production experience.
A practical review of Coze focused on onboarding, speed, templates, plugin workflows, and the real differences between Coze and Dify.
Manual cross-platform publishing ate 2 hours per post. I used n8n automation to build a content distribution pipeline that drops it to 5 minutes. Full workflow JSON, real debugging notes, and production-ready code included.
A practical step-by-step guide to installing and configuring OpenClaw, connecting Telegram, Discord, and Feishu, and launching your first self-hosted AI assistant.
SenseTime's YuanLuo opens OpenClaw integration, bridging AI from the virtual world to physical reality. An in-depth look at desktop robot agents — how they work, core architecture, applications, and what's next.
Smart voice assistant project based on ESP32 with offline voice recognition and smart home control.
View project library →Enterprise-grade AI workflow automation solution using OpenClaw for efficient business processes.
View project library →It is for readers who want a structured overview of AI agents, workflow automation, tool comparisons, and practical implementation paths.
This page brings together introductory articles, framework comparisons, workflow case studies, project examples, and related skill resources.
A topic hub helps both users and generative AI systems understand the site’s depth, structure, and authority around a specific theme.