LoopX, an open-source project, has released version 1.0, which sits on top of AI agents like Codex, Claude Code, and Cursor, unifying long-running tasks into a single workspace. Users can view all tasks across agents, including statuses such as executing, pending confirmation, monitoring, and scheduled. The workspace is accessible via browser or desktop apps (macOS, Windows), sharing the same local service. LoopX does not automatically read all agents; it only shows registered ones. Multiple agents can collaborate on the same goal by claiming tasks, working in parallel, or handing off tasks. This collaboration is based on shared tasks and state, not free-form chat. The release aims to streamline the management of multi-agent workflows in development environments.
LoopX, an open-source project, announced the release of version 1.0, designed to aggregate long-running tasks from AI agents such as Codex, Claude Code, and Cursor into a unified workspace. Previously scattered across separate sessions, these tasks can now be viewed on a single page, showing execution status, pending confirmations, active monitoring, and scheduled jobs.
Centralized Dashboard for Agent Tasks
Within a project, users can drill down to see each agent's todo list, completion history, files, and runtime status. The workspace is available as a web interface and as native desktop apps for macOS and Windows, both sharing the same local service and task state. LoopX does not automatically scan all agents on the machine; it only displays agents that have been registered and connected.
Multi-Agent Collaboration Without Free-Form Chat
Multiple agents can collaborate on the same objective by claiming tasks, working in parallel, or passing tasks to each other. For example, one agent may leave a follow-up task that another agent picks up. The coordination relies on shared tasks and state rather than allowing agents to freely converse in a chat room.
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