discussionDeveloper Tools · AI & Machine LearningsituationalAgentsCLIMobileScheduling

Manage Multi-Agent Coding Sessions Remotely from a Phone

Circus Chief is a Show HN for a browser-based tool that manages Claude Code, Codex, and Gemini CLI agent sessions from mobile devices. Features include session scheduling, Kanban boards, worktree isolation, and chainable prompt templates. Product showcase in the growing AI agent tooling space.

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Similar Problems

surfaced semantically
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AI coding assistants lack task management and multi-repo support

Developers using AI coding agents lack structured task management, multi-repo context, and project organization.

Developer Tools80% match

Coding-agent managers treat agents as opaque terminal processes with no shared UI context

Developers using multiple AI coding agents (Claude Code, Codex, Cursor, etc.) find existing agent managers act like simple terminal wrappers without letting agents spawn sub-tasks, view files, or customize the UI. An open-source ADE (bb) was built to give agents richer, scriptable, cross-provider integration.

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handmux - Your coding agent, on your phone

A self-hosted, open-source tool that mirrors a developer's tmux coding-agent session (Claude Code, Codex) to their phone, letting them approve agent actions, view git diffs, and preview sites remotely.

Developer Tools80% match

AI Coding Agents Lack Persistent Task and Todo Context Across Sessions

Developers using AI coding agents (Cursor, Codex, Claude Code, and others) must maintain task lists in separate apps, forcing constant context-switching and repetition of task state to the agent each session. The poster built an MCP-based todo tool to give agents direct, persistent access to task context, evidencing demand for agent-native task management.

Developer Tools79% match

No clean way to drive IDE coding agents from a phone away from desk

Developers running Copilot, Claude, Windsurf, and Cursor sessions cannot easily monitor or steer those agents while away from the laptop. Mobile remote control of long-running coding agents is an emerging gap.

Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.