Chimlo.

Chimlo

Chimlo is a free, open-source macOS utility that transforms your Mac's screen notch into a live command center for AI coding agents. It keeps Codex, Claude Code, and other terminal-based agents visible and interactive without disrupting your workflow or forcing you to monitor a separate terminal window.

Product Highlights

• Live Agent Monitoring: Watch your coding agents work in real-time from a compact control surface anchored at the top of your screen
• In-Context Approvals: Answer agent questions and approve actions instantly with keyboard shortcuts — no need to switch applications or lose your focus
• Minimal Resource Footprint: Runs on Apple Silicon Macs using under 100 MB RAM with automatic updates and zero configuration
• Privacy-First Design: All agent communication stays local on your Mac — Chimlo simply gives your terminal a visual interface without sending data to external servers
• Works With Existing Tools: Seamlessly integrates with Codex (OpenAI) and Claude Code (Anthropic) without requiring new accounts or setup

Use Cases

• Long-Running Development Tasks: Let agents handle code reviews, test suites, or build processes while you stay productive in your editor — Chimlo surfaces only the moments that need your attention
• Safe Deployment Workflows: Review and approve production deployments, git pushes, and critical operations with clear context and one-keystroke decisions
• Multi-Agent Management: Monitor several coding agents simultaneously from a unified interface instead of juggling multiple terminal windows
• Focused Deep Work: Eliminate context switching by keeping agent status peripheral to your main workspace, reducing interruptions while maintaining oversight

Target Audience

Chimlo is built for macOS developers and engineering teams who rely on AI coding agents like Codex and Claude Code but want to stay in flow. It's ideal for professionals running macOS 14+ on Apple Silicon who value privacy, minimal system overhead, and frictionless integration with their existing terminal-based workflows.