23 Daily — MAO launched on October 28, 2026, introduces a multi-agent orchestration platform for coding, integrating AI code agents such as Claude Code, Codex, and Grok onto a single collaborative canvas. This platform enables these agents to cooperate and hand off tasks visually, streamlining workflow management across macOS, Windows, and Linux native applications, according to its Product Hunt page.
Innovative Multi-Agent Collaborative Platform
MAO's core feature allows multiple AI coding agents—Claude Code, Codex, Gemini, and Grok—to operate on one shared canvas, handing work between them as a team. The platform uses multiple git worktree layers to prevent interference among agents' operations. Users run any agent under their own login credentials. Connections or "wires" on the canvas facilitate communication, task delegation, and results exchange among agents.
Automation and Remote Flexibility
The platform supports automation such as triggering multiple agents with a single prompt, and scheduling routines that automatically send prompts nightly at 2 AM, with busy agents skipped to avoid interruptions. Additionally, remote workspaces operate over SSH, letting agents run on a remote Linux box while the canvas remains on the user's desktop, balancing security and convenience.
Privacy and Access Control Maintained
MAO does not store users’ API keys or passwords; each agent uses the user’s own login credentials. All execution happens on the user’s local machine, with communication only between the agents and their respective provider servers—no data passes through MAO servers. Users get a seven-day free trial without a credit card or subscription, after which the platform uses a one-time purchase model priced around 0 USD, with price adjustments by region and transferable licenses up to three times per year.
Editor's take: Business Potential and Validation for Multi-Agent Collaboration
By bringing multiple AI coding agents onto a unified canvas connected through visual "wires," MAO overcomes the limitations of isolated tool usage, boosting development efficiency and automation. For entrepreneurs, this multi-agent orchestration platform suggests opportunities to integrate diverse AI technologies into tailored intelligent coding ecosystems, contributing to digital transformation. To validate its value, one could conduct hands-on tests of multi-agent collaborative development workflows, evaluating task handoff efficiency and user experience to determine if it significantly shortens project timelines and reduces labor costs.