I built an open-source platform for orchestrating AI agent teams — here's what I learned

For the past few months, I've been building CrewForm — an open-source platform for creating and orchestrating multi-agent AI workflows through a web UI. Think of it as the visual, no-code alternative to frameworks like CrewAI or LangGraph. Instead of writing Python scripts to wire agents together, you configure everything in a dashboard. I wanted to share what it does, how it's built, and some lessons from the journey. What it does You create AI agents by picking a model (15 LLM providers supported — OpenAI, Anthropic, Gemini, Groq, Ollama, etc.), writing a system prompt, and attaching tools. Then you combine agents into teams that run in one of three modes: Pipeline — agents execute sequentially, each passing output to the next. Great for content workflows (research → write → edit → format). Orchestrator — a "brain" agent receives the task, breaks it down, and delegates sub-tasks to specialist workers. Best for complex, dynamic problems. Collaboration — agents discuss in a shared thre