◦ Prompt · Desktop

Give Your AI Agent a Front Door — Turn the Browser Tab Your Assistant Already Lives In Into a Native Mac App That Launches From the Dock, in One Session

Paste this into Claude Code, Cursor, or Aider and it interviews you about the agent you already run — what local server it lives in, which port, how that server is kept alive, whether it needs the microphone, and which Python built it — then does a strictly read-only pass over your project to see how your assistant actually starts before it changes a line. Only then does it wrap the browser tab you already use into a real desktop app: a chrome-less native window pointed at your own [localhost](http://localhost), a dock icon that's yours, and the three fixes that are the whole reason an embedded web view is hard — granting the microphone from inside the view so the orb isn't dead on arrival, making macOS attribute the mic prompt to your app instead of to Python, and routing OAuth and external-link pop-ups out to the real browser so sign-in doesn't silently vanish. It adds a splash screen that wakes a sleeping server and waits for it, then bundles everything into a signed .app that lands on the dock and survives a reboot. Interview first, map second, then build tier by tier — each tier launches something you can see and is verified before the next begins.

Jul 22, 2026agentdesktop-appmacoswkwebviewpywebviewtaurivoice-uipackagingtutorial

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Give Your AI Agent a Brain and a Memory — From a Stateless Chatbot to an Assistant That Stays Herself and Remembers You, in One Session →

Paste this into Claude Code, Cursor, or Aider and it interviews you about the agent you already have — its stack, whether it remembers anything today, whether its voice drifts over long chats — then does a strictly read-only pass over your codebase to see how it actually thinks before it changes a line. Only then does it help you build the brain that runs Trillion: a personality that lives in an editable file and reloads the moment you save it, a two-block system prompt that keeps the whole personality resident every single turn without ballooning your bill, an always-loaded core-knowledge layer so it never re-asks what it should already know, working memory that persists and recovers across sessions, and a typed, file-backed long-term memory with semantic recall — written both by the agent's own hand through tools and by an automatic end-of-session extractor that dedupes before it saves. It finishes with a self-knowledge layer so the agent knows what it is, and a personality checkpoint that stops it sliding into generic-assistant voice deep in a conversation. Interview first, map second, then build tier by tier — each tier ships independently with its own verification.