Hey Product Hunt 👋 I built OrchestrAI because most AI coding workflows still rely on one model doing everything: 🧠 planning 💻 coding 🧪 testing 🔍 reviewing ⚖️ judging That felt like the wrong architecture. So I created OrchestrAI — an open-source MCP server for multi-model software engineering. Instead of forcing one model to handle the whole workflow, OrchestrAI lets multiple models collaborate in parallel through roles like: 🗺️ Planner 👨‍💻 Coder 🧪 Tester 🛡️ Reviewer ⚖️ Judge It currently supports workflows around: Claude OpenAI / Codex Gemini local models Key things I wanted from day one: ✅ MCP-native architecture ✅ parallel multi-model orchestration ✅ built-in verification with lint, tests, and type checks ✅ privacy-aware routing ✅ local-only mode for sensitive work ✅ traces and artifacts for inspectable decisions Current orchestration modes: ⚡ parallel_draft 🛠️ impl_tester 🧩 planner_coder_reviewer My big question for the community is: What should a real orchestration layer do that current single-model coding tools still miss? Would love your honest feedback, ideas, and criticism 🙌

OrchestrAI

Tagline MCP server for multi-model software engineering

Tagline MCP server for multi-model software engineering