Documents and notes decision
Melo
A capable developer can build the core capture + semantic search + chat workflow reasonably (using existing open-source note apps and hosted embedding/LLM APIs), but reproducing Melo’s macOS-native polish, gesture features, and packaged integrations/UX would be costly to match.
Visit website↗Built by Hamza, who ships 3 products in this index
$4.99/mo
$60/yr
Read off the official pricing page.
$100one-off120 h to build
$20/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 6 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 Melo alternatives, with the arithmetic →
What a replacement has to do
- Capture a thought (hotkey or clipper) → store locally → index text with embeddings → semantic search / chat over saved items to recall with source links.
What it still won’t have
- macOS native polish and OS-level window tiling/gesture integration (hand-tracking, clap-to-summon)
- desktop pets, themes & fonts variety and other UI polish
- prebuilt integrations and the vendor’s bundled lifetime license experience
- offline local model hosting and any proprietary model optimizations
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 6 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 Mac-focused local-first note workspace as an Electron (or Tauri) app with a React UI, SQLite for local storage, and a small vector index using FAISS or an SQLite extension. Core features in scope: global hotkey quick-capture, local note/file storage with metadata, web clipper (browser extension or clip API), embedding pipeline using OpenAI embeddings, vector search for semantic recall, a chat UI that retrieves top-k contexts and sends them to OpenAI/another LLM, and an integrations module that can pull Notion pages and Calendar events read-only. Out of scope: advanced gesture/hand-tracking, desktop pets, multi-user sync, and training proprietary models. Include error handling, retry/backoff for API calls, background worker for indexing, unit and integration tests for capture, indexing, and search workflows, and startup/run documentation.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
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 · 4
Every page the run actually retrieved.
- official productMelo homepage
- official docsMelo features
- open sourceAppFlowy GitHub
- open sourcememos GitHub
Integrity checks
What held up, and what did not.
