MetaGPT casts the multi-agent pattern as a simulated software team: a product manager writes the spec, an architect decomposes it, engineers implement, QA verifies. The framework ships predefined roles and a workflow that strings them together. It is a strong opinionated choice for full-stack codegen scenarios.
The same multi-agent shape, with no implicit metaphor. Agents are agents, you name them what they actually do.
Coordinator on Sonnet, explorer on Haiku, writer on Sonnet, reviewer on DeepSeek. One config, one model: line per agent.
Push your agent to the Digitorn Hub. A teammate runs digitorn install hub://your-publisher/your-agent@1.0 and they have it.
Open Studio and tell the builder assistant what you want. It builds the agent for you, connects your tools, and you refine it live on the canvas. It's vibe coding for agents, nothing to install.
Open StudioEngineering notes from the Digitorn team. No marketing, no launch announcements, no "10 prompts that will change your life". Just the things we write that we'd want to read.
