Update agent

Readme.md

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+# MeetVault
+
+Self-hosted meeting recording and intelligence platform. The user machine handles local transcription; the backend API manages auth, metadata, uploads, summarization jobs, tasks, and reminders. Large media files are stored in SeaweedFS via its S3-compatible API.
+
+## Architecture
+
+```text
+User machine:
+  - Record audio/video
+  - Local Whisper STT → transcript
+  - Upload to SeaweedFS (presigned URLs)
+  - Send transcript to backend
+
+Backend API:
+  - Auth, users, subscriptions
+  - Meeting metadata
+  - Transcript ingestion
+  - Summarization jobs
+  - Task extraction
+  - Reminder scheduling
+  - PostgreSQL for structured data
+```
+
+## Quick start
+
+### Backend
+
+1. Start PostgreSQL and run the schema SQL from `Overview/README.md` (includes `pgcrypto` extension, all tables, indexes, triggers).
+2. Run the backend API server.
+3. Spin up SeaweedFS and configure presigned URL endpoints on the backend.
+
+### Desktop client
+
+Run the Tauri + React demo in `Wireframes/Desktop/MeetVault-Desktop-Demo/`. It supports local Whisper transcription, speaker diarization via diart, live overlay window, recording capture, and mock speech-engine mode for UI testing without ML models.
+
+## Stack (MVP)
+
+Frontend: React / Next.js  
+Backend: FastAPI or Node.js  
+Database: PostgreSQL + `processing_jobs` table as job queue  
+Media storage: SeaweedFS  
+Local STT: Whisper / whisper.cpp  
+
+No Kafka, Elasticsearch, Kubernetes, vector DBs, or Redis are needed for the MVP.