diff --git a/.gitignore b/.gitignore
index 7ee12e8..8002557 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,3 +5,4 @@ __pycache__/
 node_modules/
 e2e/test-results/
 e2e/playwright-report/
+.kokoro-models/
diff --git a/kokoro_tts_server.py b/kokoro_tts_server.py
new file mode 100644
index 0000000..b05e71f
--- /dev/null
+++ b/kokoro_tts_server.py
@@ -0,0 +1,216 @@
+#!/usr/bin/env python3
+"""Kokoro TTS Bridge — exposes local Kokoro as an OpenAI-compatible TTS endpoint.
+
+Uses kokoro_onnx for synthesis and misaki for Chinese phonemization.
+
+Usage:
+    source .kokoro-venv/bin/activate
+    python3 kokoro_tts_server.py
+"""
+
+import json, io, os, tempfile, re
+from http.server import HTTPServer, BaseHTTPRequestHandler
+from pathlib import Path
+
+_kokoro = None
+_zh_g2p = None
+
+# Voice name mapping: friendly names → Kokoro voice IDs
+VOICE_MAP = {
+    # Chinese voices
+    "xiaoxiao": "zf_xiaoxiao", "yunxi": "zm_yunxi", "xiaoni": "zf_xiaoni",
+    "xiaoyi": "zf_xiaoyi", "xiaobei": "zf_xiaobei",
+    "yunjian": "zm_yunjian", "yunyang": "zm_yunyang", "yunxia": "zm_yunxia",
+    # English voices
+    "alloy": "af_alloy", "nova": "af_nova", "echo": "am_echo",
+    "fable": "bm_fable", "onyx": "am_onyx", "shimmer": "af_bella",
+    "heart": "af_heart",
+}
+
+# Chinese voice prefixes
+CHINESE_PREFIXES = ("zf_", "zm_")
+
+
+def get_kokoro():
+    global _kokoro
+    if _kokoro is None:
+        print("[kokoro] Loading ONNX pipeline...")
+        from kokoro_onnx import Kokoro
+        model_dir = Path(__file__).parent / ".kokoro-models"
+        _kokoro = Kokoro(
+            str(model_dir / "kokoro-v1.0.fp16.onnx"),
+            str(model_dir / "voices-v1.0.bin"),
+        )
+        print("[kokoro] ONNX pipeline ready!")
+    return _kokoro
+
+
+def get_zh_g2p():
+    global _zh_g2p
+    if _zh_g2p is None:
+        print("[kokoro] Loading Chinese phonemizer (misaki)...")
+        from misaki.zh import ZHG2P
+        _zh_g2p = ZHG2P()
+        print("[kokoro] Chinese phonemizer ready!")
+    return _zh_g2p
+
+
+def resolve_voice(raw_voice: str) -> str:
+    """Resolve a voice name to a Kokoro voice ID."""
+    raw = raw_voice.lower().strip()
+    if raw in VOICE_MAP:
+        return VOICE_MAP[raw]
+    if any(raw.startswith(p) for p in ("af_", "am_", "bf_", "bm_", "ef_", "em_", "zf_", "zm_")):
+        return raw
+    return f"af_{raw}"
+
+
+def is_chinese_voice(voice_id: str) -> bool:
+    return voice_id.startswith(CHINESE_PREFIXES)
+
+
+def synthesize(text: str, voice: str) -> bytes:
+    """Synthesize text to WAV bytes."""
+    import soundfile as sf
+    import numpy as np
+
+    kokoro = get_kokoro()
+    use_chinese = is_chinese_voice(voice)
+
+    if use_chinese:
+        # Use misaki to convert Chinese text → phonemes
+        g2p = get_zh_g2p()
+
+    # Split text into chunks for processing
+    MAX_CHARS = 80 if use_chinese else 200
+    parts = re.split(r'(?<=[。！？.!?\n，,；;])', text)
+    chunks = []
+    current = ""
+    for p in parts:
+        if not p:
+            continue
+        if len(current) + len(p) > MAX_CHARS and current:
+            chunks.append(current)
+            while len(p) > MAX_CHARS:
+                chunks.append(p[:MAX_CHARS])
+                p = p[MAX_CHARS:]
+            current = p
+        else:
+            current += p
+    if current:
+        chunks.append(current)
+    if not chunks:
+        chunks = [text[:MAX_CHARS]]
+
+    print(f"[kokoro] Processing {len(chunks)} chunk(s), chinese={use_chinese}...")
+    all_samples = []
+    sample_rate = 24000
+
+    for i, chunk in enumerate(chunks):
+        chunk = chunk.strip()
+        if not chunk:
+            continue
+
+        if use_chinese:
+            # Convert Chinese text to phonemes, then synthesize
+            phonemes = g2p(chunk)
+            print(f"[kokoro]   chunk {i+1}/{len(chunks)}: '{chunk[:30]}' -> phonemes: '{phonemes[:40]}'")
+            samples, sr = kokoro.create(phonemes, voice=voice, speed=1.0, is_phonemes=True)
+        else:
+            print(f"[kokoro]   chunk {i+1}/{len(chunks)}: '{chunk[:30]}'")
+            samples, sr = kokoro.create(chunk, voice=voice, speed=1.0)
+
+        all_samples.append(samples)
+        sample_rate = sr
+
+    if not all_samples:
+        raise RuntimeError("Kokoro returned no audio")
+
+    full_audio = np.concatenate(all_samples)
+
+    buf = io.BytesIO()
+    sf.write(buf, full_audio, sample_rate, format="WAV")
+    return buf.getvalue()
+
+
+class KokoroHandler(BaseHTTPRequestHandler):
+    def do_GET(self):
+        if self.path == "/v1/models":
+            body = json.dumps({"data": [{"id": "kokoro", "object": "model"}]}).encode()
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.send_header("Connection", "close")
+            self.end_headers()
+            self.wfile.write(body)
+        else:
+            body = b'{"status":"ok"}'
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.send_header("Connection", "close")
+            self.end_headers()
+            self.wfile.write(body)
+
+    def do_POST(self):
+        if self.path != "/v1/audio/speech":
+            self.send_response(404)
+            self.end_headers()
+            return
+
+        content_length = int(self.headers.get("Content-Length", 0))
+        raw = self.rfile.read(content_length) if content_length else b"{}"
+        try:
+            body = json.loads(raw)
+        except json.JSONDecodeError:
+            self.send_response(400)
+            self.send_header("Content-Type", "application/json")
+            self.end_headers()
+            self.wfile.write(b'{"error":"invalid_json"}')
+            return
+        if not isinstance(body, dict):
+            body = {}
+        text = body.get("input", "Hello from Kokoro")
+        raw_voice = body.get("voice", "xiaoxiao")
+        voice = resolve_voice(raw_voice)
+
+        print(f"[kokoro] Request: voice={voice} text='{text[:60]}...' ({len(text)} chars)")
+
+        try:
+            audio_bytes = synthesize(text, voice)
+
+            tmp = tempfile.NamedTemporaryFile(suffix=".wav", delete=False, dir="/tmp")
+            tmp.write(audio_bytes)
+            tmp.close()
+            print(f"[kokoro] Done: {tmp.name} ({len(audio_bytes):,} bytes)")
+
+            self.send_response(200)
+            self.send_header("Content-Type", "audio/wav")
+            self.send_header("X-Audio-File", tmp.name)
+            self.send_header("Content-Length", str(len(audio_bytes)))
+            self.end_headers()
+            self.wfile.write(audio_bytes)
+        except Exception as e:
+            print(f"[kokoro] ERROR: {e}")
+            import traceback; traceback.print_exc()
+            body = json.dumps({"error": str(e)}).encode()
+            self.send_response(500)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.send_header("Connection", "close")
+            self.end_headers()
+            self.wfile.write(body)
+
+    def log_message(self, *a): pass
+
+
+if __name__ == "__main__":
+    port = int(os.environ.get("KOKORO_PORT", "8421"))
+    print(f"[kokoro] Kokoro TTS bridge on http://127.0.0.1:{port}")
+    print(f"[kokoro] POST /v1/audio/speech")
+    print(f"[kokoro] Voices: {', '.join(sorted(VOICE_MAP.keys()))}")
+    # Pre-warm both the ONNX model and the Chinese phonemizer
+    get_kokoro()
+    get_zh_g2p()
+    print(f"[kokoro] Ready! Listening...")
+    HTTPServer(("127.0.0.1", port), KokoroHandler).serve_forever()
diff --git a/mofa_hybrid.toml b/mofa_hybrid.toml
new file mode 100644
index 0000000..d2bdf47
--- /dev/null
+++ b/mofa_hybrid.toml
@@ -0,0 +1,25 @@
+[listen]
+host = "127.0.0.1"
+port = 8420
+
+[memory]
+budget_mb = 8192
+idle_timeout_secs = 300
+
+[observability]
+enabled = true
+
+[[providers]]
+name = "ollama"
+kind = "ollama"
+base_url = "http://127.0.0.1:11434"
+
+[[providers]]
+name = "kokoro"
+kind = "openai_compatible"
+base_url = "http://127.0.0.1:8421/v1"
+api_key = "local"
+
+[[providers.models]]
+name = "kokoro"
+capability = "tts"