Add tiered memory system with manual distillation

- config.py: memory_budget_long/mid/short settings (overridable in .env)
- memory_distiller.py: distill_short (no LLM), distill_mid, distill_long (LLM)
- routers/distill.py: POST /distill/{short,mid,long,all} endpoints
- context_loader.py: rewrote to load long→mid→short order with include_* toggles
- routers/chat.py: ChatRequest gains include_long/mid/short fields
- routers/files.py: MEMORY_LONG/MID/SHORT.md added to ALLOWED set
- main.py: register distill router
- static/index.html: context bar — tier selector, L/M/S memory toggles,
  distill buttons with status feedback; send includes tier + memory flags
- inara/MEMORY_LONG.md: migrated from MEMORY.md + Cortex/Talk bot notes
- inara/MEMORY_MID.md, MEMORY_SHORT.md: stubs ready for distillation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

cortex/config.py

@@ -26,6 +26,12 @@ class Settings(BaseSettings):
     nextcloud_talk_bot_secret: str = ""   # set in .env
     nextcloud_talk_timeout: int = 55
 
+    # Memory tier token budgets — soft caps used during distillation
+    # Override in .env: MEMORY_BUDGET_LONG=4000 etc.
+    memory_budget_long: int = 2000
+    memory_budget_mid: int = 2000
+    memory_budget_short: int = 3000
+
     host: str = "0.0.0.0"
     port: int = 8000