diff --git a/bridge/aria_bridge.py b/bridge/aria_bridge.py
index 4292361..c028cbe 100644
--- a/bridge/aria_bridge.py
+++ b/bridge/aria_bridge.py
@@ -611,6 +611,13 @@ class ARIABridge:
         self._last_chat_final_at: float = 0.0
         # requestId → messageId Map fuer XTTS-Audio-Cache (App-seitige Zuordnung)
         self._xtts_request_to_message: dict[str, str] = {}
+        # Voice-Router (Multi-Threading, 06/2026): sticky Projekt-Kontext fuer
+        # STT-Voice-Nachrichten. Wechselt via „fuer <name>:"-Prefix, faellt nach
+        # STICKY_TIMEOUT_SEC ohne neue Voice-Message zurueck auf Hauptchat.
+        # Meta-Kommandos („zurueck zum hauptchat") werden client-seitig
+        # interceptiert und aendern hier den Sticky OHNE Brain-Roundtrip.
+        self._voice_sticky_project_id: str = ""
+        self._voice_sticky_expires_at: float = 0.0
         # Voice-Override aus letzter Chat-Nachricht einer App.
         # Wird fuer die direkt folgende ARIA-Antwort genutzt und dann zurueckgesetzt.
         # So kann jedes Geraet seine bevorzugte Stimme bekommen (pro Request).
@@ -2976,6 +2983,81 @@ class ARIABridge:
         else:
             logger.info("[rvs] Keine Sprache erkannt — ignoriert")
 
+    # Voice-Router-Konstanten
+    _VOICE_STICKY_TIMEOUT_SEC = 30.0
+    _VOICE_META_BACK_TO_MAIN = re.compile(
+        r"^\s*(?:aria[,.]?\s+)?(?:zur(?:ü|ue)ck\s+zum\s+hauptchat|hauptchat\s+bitte|aria\s+hauptchat)\s*[.!?]?\s*$",
+        re.IGNORECASE,
+    )
+    _VOICE_META_PROJECT_PREFIX = re.compile(
+        r"^\s*(?:aria[,.]?\s+)?(?:f(?:ü|ue)r|ins?)\s+([\w\-äöüßÄÖÜ]{2,40})[:\-,]\s*(.+?)\s*$",
+        re.IGNORECASE | re.DOTALL,
+    )
+
+    def _apply_voice_router(self, text: str) -> tuple[bool, str, str, str]:
+        """Voice-Router: entscheidet ob ein STT-Text ans Brain geht und wenn ja
+        an welchen Projekt-Kontext.
+
+        Returns (should_forward, cleaned_text, project_id, meta_action):
+          - should_forward=False: reines Meta-Kommando, kein Brain-Call.
+            meta_action beschreibt was passiert ist (broadcastet an UI).
+          - should_forward=True: cleaned_text ans Brain, project_id ist Focus.
+            Bei Prefix wird der Prefix aus dem Text entfernt.
+
+        Sticky-Logik: nach einem projekt-getaggten Voice-Turn wird der Sticky
+        30s lang gehalten. Innerhalb dieses Fensters gehen weitere Voice-Msgs
+        OHNE Prefix in dasselbe Projekt. Nach Ablauf: Default Hauptchat.
+        """
+        import time as _time
+        now = _time.time()
+        stripped = text.strip()
+
+        # 1) Meta: zurueck zum Hauptchat
+        if self._VOICE_META_BACK_TO_MAIN.match(stripped):
+            self._voice_sticky_project_id = ""
+            self._voice_sticky_expires_at = 0.0
+            return (False, "", "", "back_to_main")
+
+        # 2) Prefix: "fuer <name>: <text>"
+        m = self._VOICE_META_PROJECT_PREFIX.match(stripped)
+        if m:
+            name = m.group(1)
+            remainder = m.group(2).strip()
+            # Fuzzy-Match auf Projekt via Brain-API
+            try:
+                brain_url = os.environ.get("BRAIN_URL", "http://aria-brain:8080")
+                with urllib.request.urlopen(f"{brain_url}/projects/list", timeout=3) as r:
+                    projects = json.loads(r.read()).get("projects", [])
+                from difflib import SequenceMatcher
+                best, best_score = None, 0.0
+                q = name.lower()
+                for p in projects:
+                    pname = p.get("name", "").lower()
+                    if q == pname or q == p.get("id", ""):
+                        best, best_score = p, 1.0
+                        break
+                    s = SequenceMatcher(None, q, pname).ratio()
+                    if s > best_score:
+                        best, best_score = p, s
+                if best and best_score >= 0.6:
+                    pid = best["id"]
+                    self._voice_sticky_project_id = pid
+                    self._voice_sticky_expires_at = now + self._VOICE_STICKY_TIMEOUT_SEC
+                    logger.info("[voice-router] Prefix → Projekt '%s' (id=%s, score=%.2f)",
+                                best.get("name"), pid, best_score)
+                    return (True, remainder or stripped, pid, "project_prefix")
+            except Exception as exc:
+                logger.warning("[voice-router] Prefix-Match fehlgeschlagen: %s", exc)
+            # Kein Match → als normale Nachricht weiter (Sticky wenn aktiv)
+        # 3) Kein Meta / Prefix → Sticky oder Default
+        if self._voice_sticky_project_id and now < self._voice_sticky_expires_at:
+            # Sticky refreshen
+            self._voice_sticky_expires_at = now + self._VOICE_STICKY_TIMEOUT_SEC
+            return (True, stripped, self._voice_sticky_project_id, "sticky")
+        # Sticky abgelaufen — zurücksetzen
+        self._voice_sticky_project_id = ""
+        return (True, stripped, "", "default")
+
     async def _process_endpoint_text(self, text: str,
                                       interrupted: bool = False,
                                       audio_request_id: str = "",
@@ -2987,16 +3069,51 @@ class ARIABridge:
         Spiegel-Methode zu _process_app_audio NACH dem STT-Schritt. Bewusst
         eigene Methode statt Code-Pfade in _process_app_audio aufdroeseln,
         damit der Legacy-Pfad (App schickt 'audio') unangetastet bleibt.
+
+        Voice-Router: interceptiert Meta-Kommandos (zurueck zum Hauptchat)
+        + Prefix-Adressierung („fuer Frankreich: ...") + 30s-Sticky. Meta
+        selbst geht NICHT ans Brain, sondern broadcastet als project_changed-
+        Event → App+Diagnostic wechseln den Focus.
         """
+        should_forward, cleaned, project_id, meta_action = self._apply_voice_router(text)
+
+        if meta_action in ("back_to_main", "project_prefix"):
+            # UI-Focus-Update broadcasten
+            payload = {"action": "entered" if meta_action == "project_prefix" else "exited"}
+            if meta_action == "project_prefix" and project_id:
+                # Namen aus dem Cache holen — best effort
+                try:
+                    brain_url = os.environ.get("BRAIN_URL", "http://aria-brain:8080")
+                    with urllib.request.urlopen(f"{brain_url}/projects/list", timeout=2) as r:
+                        for p in json.loads(r.read()).get("projects", []):
+                            if p.get("id") == project_id:
+                                payload["id"] = project_id
+                                payload["name"] = p.get("name", "")
+                                break
+                except Exception:
+                    payload["id"] = project_id
+            await self._send_to_rvs({
+                "type": "project_changed",
+                "payload": payload,
+                "timestamp": int(asyncio.get_event_loop().time() * 1000),
+            })
+
+        if not should_forward:
+            logger.info("[voice-router] Meta-Kommando '%s' intercepted, kein Brain-Call",
+                        meta_action)
+            return
+
         try:
             stt_payload = {
-                "text": text,
+                "text": cleaned,
                 "sender": "stt",
             }
             if audio_request_id:
                 stt_payload["audioRequestId"] = audio_request_id
             if location:
                 stt_payload["location"] = location
+            if project_id:
+                stt_payload["projectId"] = project_id
             ok = await self._send_to_rvs({
                 "type": "chat",
                 "payload": stt_payload,
@@ -3009,10 +3126,11 @@ class ARIABridge:
         except Exception as e:
             logger.warning("[rvs] STT-Text (endpoint) konnte nicht broadcastet werden: %s", e)
 
-        core_text = self._build_core_text(text, interrupted, location)
+        core_text = self._build_core_text(cleaned, interrupted, location)
         await self.send_to_core(core_text,
                                 source="app-voice-stream" + (" [barge-in]" if interrupted else ""),
-                                client_msg_id=client_msg_id)
+                                client_msg_id=client_msg_id,
+                                project_id=project_id)
 
     async def _stt_remote(self, audio_b64: str, mime_type: str) -> Optional[str]:
         """Schickt Audio an die whisper-bridge und wartet auf stt_response.