Backend:
- Added color (hex) and icon (lucide name) columns to folders and tags
- Default folders seeded with colors: Home=green, Work=indigo, Travel=blue, etc.
- API returns color/icon in sidebar and CRUD responses
- Create/update endpoints accept color and icon
Frontend:
- Mobile: horizontal scrollable pill tabs with colored dots
- Desktop sidebar: colored dots next to folder names
- Active pill gets tinted border matching folder color
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Backend:
- New Folder/Tag/ItemTag models with proper relational tables
- Taxonomy CRUD endpoints: list, create, rename, delete, merge tags
- Sidebar endpoint with folder/tag counts
- AI classification reads live folders/tags from DB, not hardcoded
- Default folders/tags seeded on first request per user
- folder_id FK on items for relational integrity
Frontend:
- Left sidebar with Folders/Tags tabs (like Karakeep)
- Click folder/tag to filter items
- "Manage" mode: add new folders/tags, delete existing
- Counts next to each folder/tag
- "All items" option to clear filter
- Replaces the old signal-strip cards
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Settings were failing with 405 (PUT not supported in Meilisearch v1.12).
Changed to PATCH. Filterable/searchable attributes now applied.
Keyword search working: wedding, yusuf, insurance, airport all return results.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Polls only pending/processing items by ID every 4s instead of
reloading the entire list every 3s. Prevents screen flashing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- PDF: extracts selectable text via pymupdf, falls back to Tesseract OCR for scanned docs
- PDF: renders first page as screenshot thumbnail
- Images: Tesseract OCR for text extraction, OpenAI vision API fallback for photos
- Plain text files: direct decode
- All extracted text stored in extracted_text field for search/embedding
- Tested: PDF upload → text extracted → AI classified → searchable
New deps: pymupdf, pytesseract, Pillow
System dep: tesseract-ocr added to both Dockerfiles
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Link detail: shows screenshot image (clickable to open URL), URL, summary, tags
- Note detail: click note text to edit, save/cancel buttons
- Notes: AI now fixes spelling/grammar instead of rewriting
- AI returns corrected_text field for notes, worker replaces raw_content
- Removed verbose meta grid (folder/confidence/status/saved)
- Folder shown as a pill badge in meta line
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- 3-column CSS masonry grid (2 on tablet, 1 on mobile)
- Link cards show screenshot thumbnails
- Note cards show content body inline
- Tags as pills, folder/date in meta footer
- Screenshot serving endpoint added to brain API
- Auto-polling for pending items (3s interval)
- Detail sheet shows raw_content for notes
- Warm frosted glass card styling matching Atelier design
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Gateway proxies /api/brain/* to brain-api:8200/api/* via pangolin network
- User identity injected via X-Gateway-User-Id header
- Brain app registered in gateway database (sort_order 9)
- Added to GATEWAY_KEY_SERVICES for dashboard integration
- Tested: health, config, list, create all working through gateway
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Full backend service with:
- FastAPI REST API with CRUD, search, reprocess endpoints
- PostgreSQL + pgvector for items and semantic search
- Redis + RQ for background job processing
- Meilisearch for fast keyword/filter search
- Browserless/Chrome for JS rendering and screenshots
- OpenAI structured output for AI classification
- Local file storage with S3-ready abstraction
- Gateway auth via X-Gateway-User-Id header
- Own docker-compose stack (6 containers)
Classification: fixed folders (Home/Family/Work/Travel/Knowledge/Faith/Projects)
and fixed tags (28 predefined). AI assigns exactly 1 folder, 2-3 tags, title,
summary, and confidence score per item.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
