Codenotch Review: A Useful Dashboard That Stops Just Short

Daniel Carr, MSW

Sep 22

4 min read

Codenotch is an open source usage monitor for Claude Code, Codex, Cursor, GitHub Copilot, Grok, Kimi, Ollama, LM Studio, and a growing list of other AI coding tools. Instead of checking separate account pages or running usage commands manually, Codenotch places small usage indicators along the edge of the screen showing how much quota remains, when limits reset, and whether active coding agents are still working or waiting for input.

A Codenotch review becomes more interesting once several AI subscriptions are involved. Claude Code, Codex, Cursor, and other agentic coding systems all measure usage differently, and Codenotch attempts to turn those fragmented limits into one persistent dashboard.

What does Codenotch actually do?

Each connected service appears as a usage ring. Hovering over it reveals quota windows, reset times, account information, and session activity where the provider exposes it.

Claude Code can show current session and weekly usage, while Codex can display five hour and weekly limits. Codenotch also supports Cursor, Copilot, Grok, Kimi, Kiro, OpenCode, GLM, MiniMax, QianwenAI, local Ollama models, LM Studio, and custom OpenAI compatible endpoints.

The session monitoring is arguably more useful than the visual quota display. Codenotch can recognize when an agent is actively working, when it finishes, and when it stops because it needs user input.

Codenotch solves the monitoring problem

For someone using one coding assistant, installing another application merely to watch a percentage meter is difficult to justify. Most individual tools already expose their own usage information.

The idea becomes more convincing for developers who routinely move between several agents. A Claude Code session may be consuming one quota while Codex has another limit, Cursor another subscription, and local models have completely different constraints.

Codenotch consolidates that information effectively. The problem is that it currently stops at observation.

The feature Codenotch really needs

The natural next step is an automatic usage limit.

Instead of merely warning that Claude Code has reached 90 percent of its allowance, Codenotch could allow the user to set a threshold such as 80 or 90 percent and stop the agent before the account reaches its limit. For expensive or tightly rationed subscriptions, that would turn Codenotch from a dashboard into an actual resource controller.

Agentic workflows create an even more interesting possibility. If Codex is halfway through a large task when its limit is reached, Codenotch already knows which agent is running and how much quota remains. A future workflow system could capture the task state, remaining instructions, working directory, recent actions, and unfinished objectives, then hand the job to another compatible agent.

Claude Code could reach its configured limit and hand the unfinished work to Codex. Codex could later pass it to a local model or another provider. The user would no longer have to manually reconstruct what the previous agent was doing.

That would be a far more compelling product than simply watching colored rings shrink.

Is Codenotch safe?

Codenotch necessarily interacts with account information that ordinary desktop applications usually never need. Many integrations use the local authentication or session information already created by the corresponding coding tool rather than requiring a completely separate login.

The repository documents how individual providers are accessed. Codex monitoring reads the existing Codex profile, Claude integrations can use local Claude session information, and other providers use their own local credentials or explicit sign in flows.

The macOS application is signed and notarized. The Windows application is less mature in this respect, with the current installer remaining unsigned and therefore capable of triggering Windows SmartScreen.

The project is open source, so these behaviors can be inspected rather than accepted as a black box. Codenotch also states that it does not rewrite or refresh Codex credentials simply to display usage information.

Codenotch for Claude Code and Codex

Codenotch makes the most sense for people using multiple coding agents heavily enough that quota management has become part of their workflow. Multiple Claude Code accounts and multiple Codex profiles can be displayed separately, with their respective limits and active sessions.

The application can also alert the user when an agent finishes or pauses for input. That is useful when several long running coding tasks are operating in the background and the developer does not want to continually reopen terminals to see which one has stopped.

The missing piece remains orchestration. Codenotch knows that the agent is running, knows that its allowance is disappearing, and knows when the session stops. It is already collecting most of the information necessary to become considerably more ambitious.

Codenotch on Mac and Windows

The Mac version is currently the more mature implementation and supports the broadest range of integrations. It is primarily written in Swift and is distributed as a signed and notarized application.

The Windows version uses Rust and Tauri while retaining the same general concept. The installer currently lacks code signing, so Windows users may encounter a SmartScreen warning during installation.

There is currently no equivalent Linux desktop release offered alongside the primary Mac and Windows builds.

Is Codenotch worth using?

Codenotch is useful, but its current functionality feels like the first half of a more interesting product. Monitoring quotas is convenient. Controlling them would be considerably more valuable.

An automatic cutoff combined with agent handoff could transform Codenotch into an orchestration layer for AI coding subscriptions. Instead of developers manually deciding when to stop one model and continue with another, the software could treat Claude Code, Codex, Cursor, and local models as interchangeable pools of computational labor.

That is where Codenotch becomes genuinely interesting. The dashboard already knows when the fuel gauge is approaching empty. The obvious next step is letting it change engines.