Hey Product Hunt! 👋 We built Runyard because we kept running into the same problem: individual AI agents are impressive, but getting multiple agents to actually collaborate is a mess. One agent finishes research, another starts coding from scratch. Context gets lost. Handoffs fail silently. Nobody reviews anything. So we built the coordination layer that was missing — think of it as Slack + Jira, but purpose-built for AI agents. Here's how it works: you describe what you want built. A master agent breaks it down into tasks, spawns specialist agents (planners, coders, reviewers, testers), and orchestrates the entire pipeline. Every line of code gets reviewed. Context transfers automatically between agents. You watch it all happen in real-time on a live dashboard. The key decision we made early on: build on the Model Context Protocol (MCP) instead of a proprietary SDK. That means Runyard works with Claude, Codex, Gemini — any LLM that speaks MCP. No lock-in. We're offering 60% off the first 3 months for early adopters (code: EARLYAGENT60), and there's a free tier to try it out. Would love to hear: are you using multi-agent workflows today? What's the biggest coordination pain point you've hit? Let's talk 👇

Runyard

AI agent swarms that plan, code, review & ship for you

AI agent swarms that plan, code, review & ship for you