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IN THE FIELD GUIDE

Getlumia

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Lumia is a macOS overlay application that provides persistent memory for AI tools like Claude, ChatGPT, and Gemini by managing context and crafting tailored prompts. It stores project-specific context in a Vault, clarifies vague inputs via an Architect, and outputs ready-to-use prompts for different AI tools, aiming to improve prompt quality and reduce repetitive setup.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Oct 6, 2026

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A good fit for

  • Solo builders and founders who use multiple AI tools and want to streamline prompt creation

Know the limitations

  • Currently macOS only

What you can do

  • Using multiple AI tools with consistent context without re-briefing
  • Managing multiple projects with distinct brand voice, decisions, and sources in separate Vaults

Features

  • Persistent memory for AI tools through a Vault that stores projects, voice, and decisions once for reuse
  • Architect component that clarifies vague inputs by pulling from the Vault before sending to AI
  • Tailored prompt output for each AI tool ensuring context alignment and ready-to-ship prompts

Integrations

Not confirmed yet.

Platforms & data export

  • macOS 13 and later

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
Getlumia logoGetlumiaNo pricing recorded yet. Check the official site, or ask the owner to add it.

A practical workflow

  1. User drops their intent; Lumia injects context from Vault and builds a prompt tailored to the AI tool
  2. When user @mentions a document or project, Lumia stores context in the Vault for reuse
  3. The Architect component asks clarifying questions to refine vague inputs before sending to AI

Based on the sources below. Editorial review does not imply hands-on product testing.

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What changed

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Sources & research

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