Alook is a new open-source platform that lets users assign AI agents (like Claude Code or OpenCode) distinct roles and have them coordinate via email instead of requiring manual message routing. In a walkthrough example, four agents with a CEO, PM, engineer, and ops role were able to build a price-tracking scraper, schedule it to run daily, and alert the user when changes occurred—all without further human input after the initial brief. The tool addresses a key challenge in multi-agent AI systems: preventing chaotic agent-to-agent communication while maintaining persistent context across tasks.
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Alook, an open-source self-hosted platform, lets users create multiple AI agents (such as Claude Code or OpenCode sessions) and organize them into an org chart with defined roles and reporting lines. Agents coordinate via email inboxes without manual intervention, and the article walks through building a four-agent price-tracking system that runs on a schedule unattended.
Why it matters
The platform addresses a real coordination problem in AI agent systems—without structure, multiple agents can create chaotic interactions and lose context. By giving agents formal roles, reporting hierarchies, and asynchronous email-based communication (rather than direct message passing), Alook makes it feasible for small operators to build multi-agent workflows that work like a real team, potentially lowering the barrier for businesses to deploy AI automation.
What to watch
The platform detects whichever coding agent runtime is already installed on your machine and deploys agents there; it runs as a local daemon and opens a dashboard at http://localhost:15210. The GitHub repository is publicly available for setup and exploration.
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