I Tested Flowise, Dify, and n8n Across 30+ Client Deployments. Here Is My Verdict.
Three clients came to me last month with almost the same question. One wanted a customer support chatbot trained on 800 pages of product docs. One was building an internal knowledge tool for a 40-p...

Source: DEV Community
Three clients came to me last month with almost the same question. One wanted a customer support chatbot trained on 800 pages of product docs. One was building an internal knowledge tool for a 40-person team. The third needed a fully automated lead qualification workflow that could pull from Salesforce, score leads with GPT-4o, and fire Slack messages. All three asked me: "Which open-source AI agent builder should we use?" The answer was different for each of them. One got Flowise. One got Dify. One got n8n. And each was the right call. I've been building AI systems professionally since before most of these tools existed. I've deployed production AI agents across healthcare, legal, ecommerce, and logistics. Over the past year I've touched Flowise, Dify, and n8n on real client projects — not just demo accounts. Here is everything I've learned about when each one wins and when it will slow you down. Key Takeaways Flowise is the fastest path from idea to working LangChain or LlamaIndex ag