Documents and notes decision
Grape
A technical user can reproduce the core local note-taking, transcription and semantic-search + LLM query features using existing OSS pieces (Joplin/memos and API services), but reproducing Grape's bundled cross-device AI experience, polished multi-platform UX and included AI keys is non-trivial—so building a minimal replacement is realistic, a full parity product is not.
Visit website↗Built by Ozgur Ozer, who ships 12 products in this index
$19/mo
$228/yr
Read off the official pricing page.
$100one-off72 h to build
$20/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 2 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Grape alternatives, with the arithmetic →
What a replacement has to do
- Write or record notes -> index them with embeddings -> semantic search and ask an LLM over your local notes -> show summaries, flashcards, and simple tidying actions (tagging, moving).
What it still won’t have
- Bundled "Grape AI included" across devices (you must supply API keys and pay for LLM/transcription usage)
- Polished cross-device sync implementation and priority support
- Refined, polished desktop+mobile UX and QA that a paid app provides
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 2 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a local-first cross-platform note app using Electron + React for desktop (and React Native or Capacitor for mobile optionally), SQLite for local storage, and a small local vector index (SQLite + FAISS/annoy) for embeddings. Core features in scope: rich-text markdown editor, create/read/update/delete notes, attach audio files and run transcription via OpenAI Whisper API, generate embeddings (OpenAI embeddings) and implement semantic search, implement an "AI agent" endpoint that composes relevant note context and calls an LLM (OpenAI GPT) to produce summaries, checklists and simple tag/move actions, and export/import notes as Markdown. Out of scope: a proprietary bundled LLM key, a production-grade multi-user sync server, and advanced mobile polishing. Require: error handling for network/IO failures, unit tests for storage/indexing/agent flows, and a README with setup and instructions to run locally.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- Evidence score63
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productGrape - Take the note, Grape remembers the rest
- official pricingGrape pricing - free, Pro or Lifetime
- official docsGrape features - what the app actually does
- open sourcelaurent22/joplin
- open sourcelogseq/logseq
Integrity checks
What held up, and what did not.
