by AppGram
AgentNotch is a sleek macOS menu bar app that lives in your Mac's notch, providing real-time visibility into your AI coding assistants. Watch as Claude Code and OpenAI Codex think, read files, and execute tools — all without leaving your editor.
# Add to your Claude Code skills
git clone https://github.com/AppGram/agentnotchLast scanned: 5/30/2026
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"status": "PASSED",
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}agentnotch is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AppGram. AgentNotch is a sleek macOS menu bar app that lives in your Mac's notch, providing real-time visibility into your AI coding assistants. Watch as Claude Code and OpenAI Codex think, read files, and execute tools — all without leaving your editor. It has 158 GitHub stars.
Yes. agentnotch passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AppGram/agentnotch" and add it to your Claude Code skills directory (see the Installation section above).
agentnotch is primarily written in Swift. It is open-source under AppGram on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agentnotch against similar tools.
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AgentNotch is a sleek macOS menu bar app that lives in your Mac's notch, providing real-time visibility into your AI coding assistants. Watch as Claude Code and OpenAI Codex think, read files, and execute tools — all without leaving your editor.
See every tool call as it happens — file reads, code edits, shell commands, and more. Know exactly what your AI assistant is doing at any moment.
Track token usage (input/output) and estimated costs in real-time. Never be surprised by API bills again.
Visual distinction lets you know which AI is active at a glance.
Get notified when your AI assistant finishes a task. No more wondering "is it still thinking?"
brew tap AppGram/tap
brew install --cask agentnotch
AgentNotch-1.0.0.zip from ReleasesAgentNotch.app to /ApplicationsAdd to your Claude Code configuration to send telemetry:
# Set OTEL endpoint to AgentNotch (default port 4318)
export OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318"
AgentNotch listens for OTLP/HTTP on port 4318 by default, and currently decodes OTLP logs (/v1/logs) and metrics (/v1/metrics).
Codex CLI (v0.79+) uses ~/.codex/config.toml with an [otel] section (not [telemetry]). Add:
[analytics]
enabled = true
[otel]
# AgentNotch currently does not decode OTLP traces, so disable trace export to avoid noisy errors.
trace_exporter = "none"
[otel.exporter.otlp-http]
endpoint = "http://localhost:4318/v1/logs"
protocol = "binary"
| Collapsed | Expanded |
|---|---|
| Minimal notch indicator | Full tool call history |
AgentNotch runs 100% locally. No data is sent anywhere — it only receives telemetry from your local AI tools.
MIT License — see LICENSE for details.