# Mission Control 2.0

Komponierbarer Local-AI-Stack für den Bosgame M5. Greenfield-Neuaufbau —
siehe Architektur-Plan (`docs/` bzw. der genehmigte Plan).

**Schichten:** Engine (llama-swap) · Routing-Gateway (LiteLLM, `model: auto`) ·
Mission Control 2.0 (FastAPI + React/shadcn) · Hermes Agent + hermes-webui ·
Shared Memory (SQLite via MCP). Jede Schicht hinter stabilem Vertrag austauschbar.

## Status: Phase 3 (Memory + MCP) ✅

Fortschritt & Resume-Guide: siehe [`docs/STATUS.md`](docs/STATUS.md).

- **Phase 0** — FastAPI-Skeleton + React/shadcn-Shell (Cmd+K, Dark, PWA).
- **Phase 1** — Compute-Module (fit/caps/sources, portiert), **Discover** (live HF + Fit + Caps),
  **Engine-Write** (register + `groups`/Ko-Residenz), **LiteLLM-Gateway** (Config + Service,
  `model: auto` + Fallbacks), Frontend **Modelle & Routing** (Caps-Chips, Fit, Discover, Routing-View).

- **Phase 2** — System-Status (CPU/RAM/GPU/Disk), Wartung (restart/self-update, sudo-frei),
  **Connect** (saubere IDE-Snippets → Gateway `model:auto`, LAN-IP-Override).
- **Phase 3** — Geteiltes **Gedächtnis** (SQLite/WAL, 5 Kategorien, Dedupe-Kurator) + **MCP-Server**
  (`mcp/mcp_memory.py` shared, `mcp/mcp_mc.py` Stack-Management für Hermes), MemoryView.

API: `health · models · discover · fit · models/register · groups · routing · system/* · connect ·
memory/*` (Details in `docs/STATUS.md`). MCP: `mcp/` (siehe `mcp/requirements.txt`).

## Entwickeln

**Backend:**
```bash
cd backend
python -m venv .venv && .venv/Scripts/python -m pip install -r requirements.txt   # Windows
.venv/Scripts/python -m uvicorn app:app --port 9000
```

**Frontend (Dev, proxyt /api → :9000):**
```bash
cd frontend
npm install
npm run dev          # http://localhost:5173
```

**Frontend (Build → wird vom Backend ausgeliefert):**
```bash
cd frontend && npm run build   # → frontend/dist
```

## Env-Vars (Auswahl)

| Variable | Default | Zweck |
|---|---|---|
| `MC_LLAMA_SWAP_URL` | `http://127.0.0.1:8080` | Engine |
| `MC_CONFIG_PATH` | `/etc/llama-swap/config.yaml` | llama-swap Config |
| `MC_GATEWAY_URL` | `http://127.0.0.1:4000` | LiteLLM-Gateway |
| `MC_PORT` | `9000` | MC-Backend-Port |