Build Guide
Practical guides to answer 'How to build'. Covers mainstream agent frameworks, Python code snippets, local hosting, and workflow configurations.
π‘ Technical Takeaways
This developer guide solves 'how-to' implementation bottlenecks. Topics cover visual workflow orchestration in Dify (including HTTP scraper and Webhook nodes), Anthropic's new Model Context Protocol (MCP) server integration, pure Python Multi-Agent schedules, and containerized private deployments (Ollama + Docker + DeepSeek-R1). Code modules are organized logically for PMs and developers.
Automating Social Media Content Writing and Publishing with Dify Workflows
Learn how to build a Dify workflow containing a scraper node, an LLM rewrite node, formatting utility, and social media webhooks.
Model Context Protocol (MCP) Quickstart Guide
How Anthropic's new protocol standardizes LLM communication with local file systems, databases, and third-party APIs.
Writing a Multi-Agent Collaborative Framework in Pure Python
Build a custom Multi-Agent coordinator using basic Python and standard API endpoints. Learn agent orchestration from first principles.
Deploying Llama-3 & DeepSeek-R1 Locally with Docker and Ollama
Set up a containerized local Dify stack and integrate it with Ollama to run high-performance AI models offline.