learning_ai_common_plat/docs/WORKSPACE_INVENTORY.md

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# ByteLyst Workspace Inventory
> **Purpose:** Workspace-level inventory for the active multi-repo ByteLyst development environment.
> **Workspace Root:** `~/code/mygh/`
> **Canonical Repo List:** `.windsurf/workflows/repos.txt`
> **Last Updated:** 2026-03-05
---
## 1. Active Workspace Repositories
| Repository | Product / Role | Primary Stack | Current Scope |
| ----------------------------------- | --------------- | ------------------------------------------------------- | ------------------------------------------------------------------- |
| `learning_ai_common_plat` | Shared platform | TypeScript, Fastify, Next.js, Swift, Kotlin | 36 shared packages, 4 services, 3 dashboards, MCP/A2A orchestration |
| `learning_voice_ai_agent` | LysnrAI | Python 3.12, Fastify, Next.js, Swift, Kotlin | Desktop app, product backend, user dashboard, mobile apps |
| `learning_multimodal_memory_agents` | MindLyst | Kotlin Multiplatform, SwiftUI, Jetpack Compose, Next.js | Shared KMP core, iOS, Android, web dashboard |
| `learning_ai_clock` | ChronoMind | Next.js, SwiftUI, Kotlin, Fastify | Timer/focus product across web, Apple, Android, backend |
| `learning_ai_fastgap` | NomGap | React Native (Expo), Fastify | Fasting engine, mobile UI, product backend |
| `learning_ai_jarvis_jr` | JarvisJr | SwiftUI, Next.js, Kotlin, Fastify | Voice-first coaching apps, marketplace/backend |
| `learning_ai_peakpulse` | PeakPulse | SwiftUI, Fastify | Sensor-driven tracking app and backend |
---
## 2. Shared Platform Repo Role
`learning_ai_common_plat` is the shared infrastructure layer for the whole workspace.
### 2.1 Shared Packages
- `@bytelyst/config`, `@bytelyst/cosmos`, `@bytelyst/errors`, `@bytelyst/logger`, `@bytelyst/testing`
- `@bytelyst/auth`, `@bytelyst/auth-client`, `@bytelyst/api-client`, `@bytelyst/platform-client`, `@bytelyst/react-auth`
- `@bytelyst/blob`, `@bytelyst/blob-client`, `@bytelyst/datastore`, `@bytelyst/storage`, `@bytelyst/sync`, `@bytelyst/offline-queue`
- `@bytelyst/telemetry-client`, `@bytelyst/diagnostics-client`, `@bytelyst/swift-diagnostics`
- `@bytelyst/feature-flag-client`, `@bytelyst/feedback-client`, `@bytelyst/broadcast-client`, `@bytelyst/survey-client`, `@bytelyst/kill-switch-client`
- `@bytelyst/design-tokens`, `@bytelyst/dashboard-components`
- `@bytelyst/extraction`, `@bytelyst/llm`, `@bytelyst/speech`
- `@bytelyst/swift-platform-sdk`, `@bytelyst/kotlin-platform-sdk`, `@bytelyst/react-native-platform-sdk`
### 2.2 Services
| Service | Purpose |
| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `platform-service` | Product-agnostic platform APIs: auth, flags, telemetry, diagnostics, jobs, analytics, A/B testing, changelog, webhooks, marketplace, predictive analytics, and more |
| `extraction-service` | LangExtract-based extraction tasks with Python sidecar |
| `mcp-server` | MCP tool registry, tool execution, product/operator tools, and A2A orchestration pipelines |
| `monitoring` | Loki/Grafana and health-check infrastructure |
### 2.3 Dashboards
| Dashboard | Purpose |
| ------------- | ----------------------------------------- |
| `admin-web` | Platform admin console |
| `tracker-web` | Tracker and public roadmap dashboard |
| `ux-lab` | Internal UX and ops prototyping workspace |
---
## 3. Product Repos and Shared Platform Consumption
| Product | Shared Platform Dependencies |
| ---------- | --------------------------------------------------------------------------------- |
| LysnrAI | shared packages, platform-service, extraction-service, dashboards integration |
| MindLyst | shared packages, extraction integration, design tokens, platform-service patterns |
| ChronoMind | shared packages, design token flow, platform-service patterns |
| NomGap | React Native platform SDK, shared packages, platform-service patterns |
| JarvisJr | shared SDKs, platform-service, marketplace patterns |
| PeakPulse | Swift platform SDK, shared platform wrappers, design/system patterns |
---
## 4. Workspace Operating Model
- Common platform changes land first when shared packages or shared services change.
- Product repos consume `workspace:*` or `file:` references during local development.
- Repo workflows use `.windsurf/workflows/repos.txt` as the source of truth.
- Backup, sync, and workspace commit workflows operate across all active repos.
- MCP/A2A capabilities in `learning_ai_common_plat/services/mcp-server/` provide cross-product orchestration and operator tooling.
---
## 5. Recommended Source-of-Truth Docs
| Scope | Document |
| ------------------------------ | --------------------------------------------- |
| Common platform repo inventory | `docs/learning_ai_common_plat_INVENTORY.md` |
| Whole active workspace | `docs/WORKSPACE_INVENTORY.md` |
| Agent implementation guidance | `AGENTS.md` |
| High-level architecture | `docs/architecture/ECOSYSTEM_ARCHITECTURE.md` |
| Canonical active repo list | `.windsurf/workflows/repos.txt` |
---
## 6. Notes
- This document reflects the currently active seven-repo workspace rather than the earlier three-repo migration model.
- Product-specific backends now live in their product repositories, while `learning_ai_common_plat` remains product-agnostic.
- `mcp-server` and `ux-lab` are active capability surfaces and should be included in future inventory updates.