Show HN: TeamOlimpo: Handoffs and mandatory SOPs for multi-agent coordination (github.com)

TeamOlimpo has been introduced as a groundbreaking meta-orchestrator designed for AI agents, effectively serving as an operating system for coordinating specialist agents through structured handoffs, standard operating procedures (SOPs), and quality gates. Unlike existing tools such as CrewAI and LangGraph that enable multi-agent prototyping, TeamOlimpo addresses the critical challenge of reliable work handoffs among agents—essential for maintaining auditability and tracking the performance of 7 or more agents in a pipeline. The system ensures that each agent writes an auditable handoff file upon task completion, providing detailed status reports, deviation causes, and quality scores, thus reinforcing accountability. The significance of TeamOlimpo lies in its ability to standardize agent interactions, enhancing operational efficiency and reliability in complex multi-agent systems. By mandating structured handoffs and versioned SOPs, it facilitates better management and integration of agent workflows. With a unique focus on MCP (Multi-Channel Processing) server architecture from the onset, TeamOlimpo delivers features like intent-based routing and peer-reviewed information sourcing, making it an essential tool for developers looking to streamline collaboration among AI agents and ensure high-quality outputs.