Initial commit: NexusOS project + desktop theme baseline

Captures the known-good state after theme consolidation and
consistency reconciliation:
- NexusOS GTK/xfwm4/icon theme assets (assets/themes, management/Mint-Y-Nexus)
- Tightened right-click menus, visible separators, no menu icons
- assets/themes/install-theme.sh: idempotent restore of all wiring
  (symlinks, xfconf xsettings+xfwm4, GTK 3/4 settings.ini)
- .gitignore excludes venv/ollama/models/runtime/db

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

synapse/memory/extractor.py

@@ -0,0 +1,94 @@
+"""Memory extraction — asks Mistral to evaluate a conversation exchange and
+decide if it contains a new permanent personal fact worth saving."""
+
+from __future__ import annotations
+
+import json
+import logging
+import re
+from typing import Optional
+
+_log = logging.getLogger(__name__)
+
+_PROMPT = """\
+You are a memory curator for a personal AI assistant named Nexus.
+
+A conversation just occurred. Decide if the USER revealed a NEW, PERMANENT \
+personal fact that should be saved to long-term memory.
+
+SAVE ONLY facts that are stable and biographical:
+- Identity: full name, age, location, nationality
+- Possessions: vehicle, home, devices
+- Relationships: family members, partner, close friends
+- Career: job title, employer, field, skills
+- Long-running projects or goals (not today's to-dos)
+- Durable preferences or habits explicitly stated
+
+DO NOT SAVE — these are ephemeral and would clutter memory:
+- Anything time-bound: "today I have...", "I'm working on X today", "I have a full day of work"
+- Mood or energy: "I'm tired", "feeling good", "having a rough day"
+- Greetings or small talk: "good morning", "how are you"
+- Questions the user asked the assistant
+- Near-duplicates of anything in the existing memory list below
+
+Existing memory (do not re-save these or close variants):
+{existing_texts}
+
+---
+USER: {user_message}
+ASSISTANT: {assistant_response}
+---
+
+Respond with JSON only — no prose, no markdown fences:
+{{"save": true, "section": "<section name, or one from the list above>", "text": "<concise fact about Jon, third person>"}}
+OR
+{{"save": false}}"""
+
+
+async def extract_memory(
+    user_message: str,
+    assistant_response: str,
+    existing_sections: list[str],
+    existing_texts: list[str],
+    ollama_manager,
+) -> Optional[dict]:
+    """Ask Mistral to extract a saveable memory fact from a conversation exchange.
+
+    Returns {"section": ..., "text": ...} or None.
+    """
+    if existing_texts:
+        texts_block = "\n".join(f"- {t}" for t in existing_texts[:40])
+    else:
+        texts_block = "(none yet)"
+    prompt = _PROMPT.format(
+        existing_texts=texts_block,
+        user_message=user_message[:800],
+        assistant_response=assistant_response[:800],
+    )
+    try:
+        response = await ollama_manager.chat(
+            messages=[{"role": "user", "content": prompt}],
+            model="mistral:latest",
+            stream=False,
+            temperature=0.0,
+        )
+        if not response:
+            return None
+
+        text = response.strip()
+
+        # Strip markdown code fences if the model added them
+        if "```" in text:
+            m = re.search(r"```(?:json)?\s*(.*?)\s*```", text, re.DOTALL)
+            if m:
+                text = m.group(1).strip()
+
+        data = json.loads(text)
+        if data.get("save") and data.get("section") and data.get("text"):
+            return {
+                "section": str(data["section"]).strip(),
+                "text": str(data["text"]).strip(),
+            }
+    except Exception as e:
+        _log.debug("memory extraction failed: %s", e)
+    return None