# Build brief — a focused alternative to GatherOS

> **Verdict:** Partly, if you narrow it · **Buildability:** 63/100 · **Category:** Design
> **Source:** https://www.canitbevibecoded.com/gatheros
> Independent editorial assessment from Can It Be Vibe Coded? Not affiliated with, endorsed by, or derived from GatherOS. Verify current pricing and capabilities before acting.

## Context

**GatherOS** — Local-first visual reference library with capture, collections, color search, AI tools, and Spaces. It currently costs $4.99/mo.

GatherOS's solo library is buildable, but a credible replacement is a focused implementation or substantial project rather than a one-shot form. The visible grid, collections, tags, palettes, local SQLite files, and a basic board are approachable. The harder gaps are native macOS capture, the browser extension, X/Instagram/Cosmos imports, semantic AI, and interaction polish. A narrow local app is useful; call it a personal substitute, not feature parity.

This brief describes a focused, single-operator replacement for the part of GatherOS that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.

## What you are building

Capture images, screenshots, pasted files, and URLs into a private local library, organize them with collections and tags, then find them by text, color, or optional semantic search.

- Generate a constrained editing workflow with reusable templates and deterministic exports.
- A responsive interface with real empty, loading, success, and error states.

## Requirements

### Functional

- MacOS 13+.
- Node.js 22 and an Electron toolchain.
- Screen Recording permission for global capture.

### Data and integrations

- Optional OpenAI API key in .env for AI features.

Each of these needs a real account, credential, or quota. Set them up before writing feature code.

### Non-functional

- Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
- Security: server-side secrets, validated input, and no credentials in the client bundle.
- Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
- Portability: the operator can export their data and leave without losing it.

## Implementation brief

Build me a personal visual reference library for macOS to replace GatherOS. Requirements:

- Use Electron + React + TypeScript + Vite with better-sqlite3, sharp, and node-vibrant; do not offer alternative stacks.
- Make the core loop work end to end: paste or drag in an image, save a screenshot with Command+Shift+S, or paste a URL, then keep the original, thumbnail, title, source URL, and content hash.
- Store metadata in SQLite and media under ~/Library/Application Support/ReferenceShelf/; include collections, tags, notes, soft-delete trash, ZIP export, and a restore-safe backup command.
- Show a keyboard-friendly masonry library with All, Unsorted, and Trash views, bulk tag or collection actions, an item detail panel, and a source link.
- Add SQLite FTS5 search for title, source, notes, and tags, plus palette extraction with color filters;
  keep these working with no network or AI.
- Add one bounded Spaces board with pan, zoom, image cards, text, sticky notes, shapes, autosave, and PNG export;
  store board positions as JSON.
- Use an optional OpenAI API key from .env for title, tag, and embedding jobs; if the key is absent,
  show a clear disabled state and keep the local search usable.
- No accounts, no telemetry, no cloud sync, and everything stays on my Mac except explicit OpenAI calls.
- Out of scope: X, Instagram, and Cosmos imports, mobile clients, multi-device sync, and the full browser-extension/native-messaging bridge;
  keep URL capture as paste or drag.
- Include a README with install commands, Screen Recording permission steps, the data directory, backup and export instructions,
  OpenAI data handling, tests, and known limitations.

## Delivery standard

- Inspect the repository first, then write a short implementation plan before writing code.
- Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
- Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
- Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
- Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
- Add structured logs around every external call and return actionable errors without leaking sensitive details.
- Write unit tests for the core logic and one automated test of the main user journey.
- Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.

## Acceptance criteria

- [ ] A clean install starts the app using only the README and .env.example.
- [ ] The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
- [ ] Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
- [ ] The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
- [ ] Tests, type checking, linting, and a production build all pass with no ignored failures.
- [ ] No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.

## Non-goals

Do not build these, and do not claim to have replaced them:

- X, Instagram, and Cosmos bookmark imports with their platform-specific backfill and dedup pipelines.
- The browser extension and native messaging bridge for one-click capture from any site.
- The finished AI pipeline's provider maintenance and results without supplying my own OpenAI key.
- The mature Spaces canvas, presentation mode, and board export polish.
- Mobile clients, multi-device sync, and long-term update and support plumbing.

## What you still own after launch

- Secure credentials, rotate secrets, and handle provider rate limits.
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
- Maintain every third-party integration as APIs and OAuth rules change.

## Risk

**Operational risk.** The code is achievable; dependable data, integrations, and ongoing operations are the real cost.

Editorial confidence in this assessment: high. No reviewed project implementation is linked yet.

## Existing alternatives

Before building, compare these checked options:

- [Karakeep](https://karakeep.app) — Bookmark-everything library with image capture, AI tagging and semantic search; a container on your box instead of a Mac app
- [Hydrus Network](https://hydrusnetwork.github.io/hydrus/) — Local-first media manager built around tags and search; industrial-strength, and looks it

## Prior art

Working open-source software you can read, fork, or borrow from before starting:

- [Pinry](https://github.com/pinry/pinry) — Open-source tiling image board with image and URL capture, tags, boards, browser extensions, and search
- [Karakeep](https://github.com/karakeep-app/karakeep) — AGPL self-hostable bookmark-everything app with image and PDF storage, semantic search, AI tagging, and browser clients
- [Hydrus Network](https://github.com/hydrusnetwork/hydrus) — Local media manager built around tags, search, downloads, and offline-first control of large collections

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