Mexus Agent RoundTable
Facilitates collaborative decision-making within multi-agent teams by creating structured proposals for shared direction and architectural trade-offs.
The Mexus Agent RoundTable skill streamlines coordination between multiple AI agents by providing a formal mechanism for shared decision-making. It allows users and agents to open proposals in a Markdown-backed mission workflow, focusing on high-level concerns like product direction, shared interfaces, and major risk trade-offs rather than individual task execution. By standardizing the proposal format—including context, options, and recommendations—it ensures that all team members, both human and AI, have clear visibility into the reasoning behind major project pivots or technical choices.
主な機能
01Structured decision templates including context, options, and recommendations
02Targeted invitee management for specific agents or the whole squad
03Tracking for decision status, voting, and required follow-up actions
04Automated proposal generation in mission-specific Markdown files
0583 GitHub stars
06Seamless integration with the Mexus Agent Team mission lifecycle
ユースケース
01Resolving architectural trade-offs that affect multiple components managed by different agents
02Aligning the team on product direction or sequencing major feature releases
03Defining shared interfaces or communication protocols between agent-led modules