Temet macOS app

Temet now runs as a local macOS mission workspace

Temet now runs as a local macOS workspace for mission intake, expert review, signed delivery, and agent-assisted professional work.

The product has moved from profile to workspace

Temet started by making professional expertise legible: public profiles, machine-readable cards, structured competencies, and agent-facing endpoints. That layer still matters. It gives other agents a way to understand who you are, what you can do, and how your work is evidenced.

The next layer is operational. A consultant does not only need a profile. They need a place where incoming work can be received, examined, corrected, and turned into a deliverable without losing human responsibility. That is why Temet now has a local macOS application.

temet macOS app

Why local matters

Professional work often contains client context, commercial terms, technical constraints, and private judgment. A browser page can present a profile, but the working surface belongs closer to the expert's machine.

The macOS app keeps the mission workspace local. It is designed around the files, decisions, corrections, and review steps that happen before a client receives anything. Temet Web remains the public read-only surface. The app is where the work is prepared.

What the app is built to do

The app is not a generic chat window. It is a mission workspace. It receives structured requests, keeps the expert's working context, exposes the state of a mission, and supports the review loop before delivery.

The menu bar companion follows a narrow local design: read-only access to `~/.temet`, no network calls, no direct session parsing, and actions delegated to the Temet CLI. It can be installed through `temet install-menubar`, places Temet in `~/Applications`, creates a LaunchAgent, and opens the app on macOS.

The important distinction is control. Agents can prepare, draft, and organize. The human expert reviews, corrects, signs, and accepts responsibility for the final result. Temet is built around that separation.

How it connects to Temet Web

Temet Web remains the public side of the system. It serves the landing page, articles, public profiles, agent-readable endpoints, and the relay bridge. The macOS app carries the private working side: local mission handling, expert review, method building, and delivery preparation.

This split is deliberate. The web surface is for discovery and interoperability. The desktop surface is for production and supervision.

Why this changes the launch story

Temet is no longer only a way to describe expertise. It is becoming a way to operate it. A request can arrive as structured work, the agent can prepare the file, and the expert can decide what is acceptable before anything leaves the workspace.

That is the launch message: Temet turns AI-assisted professional work into a supervised delivery process. The public profile helps work find you. The local app helps you handle it.

What happens next

The landing page now shows the macOS app in context, and this article is the public announcement behind that launch banner. The next step is to use the app as the entry point for the broader argument: consultants need local, supervised, structured workflows for AI-era services.

Temet Web remains the surface that explains and exposes the protocol. The macOS app is where the expert keeps control of the work.

FAQ

Is Temet Web being replaced?

No. Temet Web remains the public read-only surface for profiles, articles, agent-readable endpoints, and discovery. The macOS app handles the private working surface.

Why is the app local instead of only web-based?

Because professional missions include private context, files, corrections, and review decisions. Those steps belong close to the expert's working environment.

What is the role of the human expert?

The agent prepares work. The expert reviews, corrects, signs, and remains responsible for delivery. Temet is built around that supervision boundary.

Next step

The macOS app makes the working surface local. The next question is how human review becomes visible and defensible inside professional AI workflows.

Read the supervision model

Published May 9, 2026

Temet · Temet for macOS: A Local Mission Workspace