MAO launches a canvas for agent teams

MAO targets the real bottleneck in agentic coding: coordination, not model access.

• –Cross-provider workflows let developers assign planning, implementation, testing and review to different agents
• –Each agent keeps its own CLI, login and provider relationship, reducing vendor lock-in
• –Persistent canvases, reusable roles and session resumption make multi-agent workflows repeatable
• –Local-first execution is attractive for privacy, though users still inherit each provider’s data-handling risks
• –The one-time price is unusually accessible compared with subscription-heavy AI developer tools