Files
stack/turbo.json
Jason Woltje 99afde4f99 feat(#2): Implement PostgreSQL 17 + pgvector database schema
Establishes multi-tenant database layer with vector similarity search for AI-powered memory features. Includes Docker infrastructure, Prisma ORM integration, NestJS services, and shared types across the monorepo.

Key changes:
- Docker: PostgreSQL 17 + pgvector v0.7.4, Valkey cache
- Schema: 8 models (User, Workspace, Task, Event, Project, ActivityLog, MemoryEmbedding) with RLS preparation
- NestJS: PrismaModule, DatabaseModule, EmbeddingsService
- Shared: Type-safe enums, constants, and database types

Fixes #2

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 16:06:34 -06:00

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{
"$schema": "https://turbo.build/schema.json",
"tasks": {
"prisma:generate": {
"cache": false
},
"build": {
"dependsOn": ["^build", "prisma:generate"],
"outputs": ["dist/**", ".next/**", "!.next/cache/**"]
},
"dev": {
"cache": false,
"persistent": true
},
"lint": {
"dependsOn": ["^build"],
"outputs": []
},
"lint:fix": {
"outputs": []
},
"test": {
"dependsOn": ["^build"],
"outputs": ["coverage/**"]
},
"test:watch": {
"cache": false,
"persistent": true
},
"test:coverage": {
"dependsOn": ["^build"],
"outputs": ["coverage/**"]
},
"typecheck": {
"dependsOn": ["^build"],
"outputs": []
},
"clean": {
"cache": false
}
}
}