diff --git a/README.md b/README.md
index 61a25ee..edc9675 100644
--- a/README.md
+++ b/README.md
@@ -103,7 +103,13 @@ Standard, bis Hermes' Sitzungsfehler behoben ist.
 Der Router stellt Sprache OpenAI-kompatibel bereit: Sprachausgabe über
 `/v1/audio/speech` und Spracherkennung über `/v1/audio/transcriptions`. Das
 Whisper-Modell liegt persistent im Docker-Volume `whisper-data`; Audiodaten
-werden lokal auf Athena verarbeitet.
+werden lokal auf Athena verarbeitet. Für OpenClaw Talk liegt der lokale
+Realtime-Provider unter
+[`integrations/openclaw-athena-talk`](integrations/openclaw-athena-talk). Er
+verbindet Mikrofon → Athena Whisper → normalen OpenClaw-Agenten → aktives
+Athena-TTS, sodass Modell, Werkzeuge und Memory auch im Sprachmodus erhalten
+bleiben. Die Installation landet in OpenClaws persistentem Datenverzeichnis
+und bleibt deshalb bei normalen Container-Updates bestehen.
 - Portainer: `https://192.168.1.212:9443`
 - Hermes-Dashboard auf Unraid: `http://192.168.1.2:9119`
 
diff --git a/compose.yaml b/compose.yaml
index ebd1d00..1715f9c 100644
--- a/compose.yaml
+++ b/compose.yaml
@@ -732,14 +732,16 @@ services:
       WHISPER_HOST: 0.0.0.0
       WHISPER_PORT: "8084"
       WHISPER_CLI: /opt/whisper.cpp/build/bin/whisper-cli
-      WHISPER_MODEL: /models/ggml-large-v3-turbo.bin
-      WHISPER_MODEL_URL: ${WHISPER_MODEL_URL:-https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo.bin}
+      WHISPER_MODEL: /models/ggml-small.bin
+      WHISPER_MODEL_URL: ${WHISPER_MODEL_URL:-https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin}
+      WHISPER_SERVER_PORT: "8085"
       WHISPER_THREADS: ${WHISPER_THREADS:-8}
       WHISPER_LANGUAGE: ${WHISPER_LANGUAGE:-de}
     networks: [frontend, inference]
     security_opt: ["no-new-privileges:true"]
     cap_drop: [ALL]
-    cap_add: [CHOWN, SETUID, SETGID]
+    # The entrypoint supervises whisper-server after dropping it to uid 10004.
+    cap_add: [CHOWN, SETUID, SETGID, KILL]
     healthcheck:
       test: [CMD, curl, -fsS, "http://127.0.0.1:8084/status"]
       interval: 10s
diff --git a/integrations/openclaw-athena-talk/README.md b/integrations/openclaw-athena-talk/README.md
new file mode 100644
index 0000000..19914fc
--- /dev/null
+++ b/integrations/openclaw-athena-talk/README.md
@@ -0,0 +1,39 @@
+# Athena Local Talk for OpenClaw
+
+This private OpenClaw provider connects browser/Desktop Talk to the existing
+Athena speech stack:
+
+1. local VAD collects a spoken utterance,
+2. Athena Whisper transcribes it,
+3. OpenClaw's normal agent-consult path answers with its configured model and
+   tools,
+4. Athena XTTS/Piper returns PCM audio to the Talk client.
+
+No public speech provider is used. The provider reuses the already configured
+`models.providers.athena` base URL and API key; no second key copy is required.
+
+Recommended `talk.realtime` configuration:
+
+```json
+{
+  "provider": "athena-talk",
+  "model": "athena-local",
+  "speakerVoice": "alloy",
+  "language": "de",
+  "mode": "realtime",
+  "transport": "gateway-relay",
+  "brain": "agent-consult",
+  "providers": {
+    "athena-talk": {
+      "vadThreshold": 0.018,
+      "silenceDurationMs": 750,
+      "prefixPaddingMs": 300,
+      "maxSpeechSeconds": 45
+    }
+  }
+}
+```
+
+Install from the OpenClaw container with `openclaw plugins install <path>` and
+restart the gateway once. The plugin is stored in OpenClaw's persistent data
+directory, so normal image updates do not remove it.
diff --git a/integrations/openclaw-athena-talk/dist/index.js b/integrations/openclaw-athena-talk/dist/index.js
new file mode 100644
index 0000000..61742e7
--- /dev/null
+++ b/integrations/openclaw-athena-talk/dist/index.js
@@ -0,0 +1,302 @@
+import { randomUUID } from "node:crypto";
+import { definePluginEntry } from "openclaw/plugin-sdk/plugin-entry";
+const AUDIO_FORMAT = { encoding: "pcm16", sampleRateHz: 24000, channels: 1 };
+function record(value) {
+    return value && typeof value === "object" && !Array.isArray(value)
+        ? value
+        : {};
+}
+function resolveConfig(req) {
+    const raw = record(req.providerConfig);
+    const modelProviders = record(record(req.cfg).models).providers;
+    const athena = record(record(modelProviders).athena);
+    return {
+        baseUrl: String(raw.baseUrl || athena.baseUrl || "http://192.168.1.212:8081/v1").replace(/\/$/, ""),
+        apiKey: String(raw.apiKey || athena.apiKey || ""),
+        voice: String(raw.voice || req.voice || "alloy"),
+        language: String(raw.language || req.language || "de"),
+        vadThreshold: Number(raw.vadThreshold ?? 0.018),
+        silenceDurationMs: Number(raw.silenceDurationMs ?? 750),
+        prefixPaddingMs: Number(raw.prefixPaddingMs ?? 300),
+        maxSpeechSeconds: Number(raw.maxSpeechSeconds ?? 45),
+    };
+}
+function wavFromPcm16(pcm, sampleRate = 24000) {
+    const header = Buffer.alloc(44);
+    header.write("RIFF", 0);
+    header.writeUInt32LE(36 + pcm.length, 4);
+    header.write("WAVEfmt ", 8);
+    header.writeUInt32LE(16, 16);
+    header.writeUInt16LE(1, 20);
+    header.writeUInt16LE(1, 22);
+    header.writeUInt32LE(sampleRate, 24);
+    header.writeUInt32LE(sampleRate * 2, 28);
+    header.writeUInt16LE(2, 32);
+    header.writeUInt16LE(16, 34);
+    header.write("data", 36);
+    header.writeUInt32LE(pcm.length, 40);
+    return Buffer.concat([header, pcm]);
+}
+function pcmRms(pcm) {
+    if (pcm.length < 2)
+        return 0;
+    let sum = 0;
+    const count = Math.floor(pcm.length / 2);
+    for (let i = 0; i < count; i += 1) {
+        const value = pcm.readInt16LE(i * 2) / 32768;
+        sum += value * value;
+    }
+    return Math.sqrt(sum / count);
+}
+function readWavPcm24k(wav) {
+    if (wav.length < 44 || wav.toString("ascii", 0, 4) !== "RIFF") {
+        throw new Error("Athena TTS did not return PCM WAV audio");
+    }
+    let offset = 12;
+    let sampleRate = 0;
+    let channels = 0;
+    let bits = 0;
+    let data;
+    while (offset + 8 <= wav.length) {
+        const id = wav.toString("ascii", offset, offset + 4);
+        const size = wav.readUInt32LE(offset + 4);
+        const start = offset + 8;
+        if (id === "fmt " && size >= 16) {
+            if (wav.readUInt16LE(start) !== 1)
+                throw new Error("Athena TTS WAV is not PCM");
+            channels = wav.readUInt16LE(start + 2);
+            sampleRate = wav.readUInt32LE(start + 4);
+            bits = wav.readUInt16LE(start + 14);
+        }
+        else if (id === "data") {
+            data = wav.subarray(start, Math.min(start + size, wav.length));
+        }
+        offset = start + size + (size % 2);
+    }
+    if (!data || !sampleRate || bits !== 16 || channels < 1) {
+        throw new Error("Unsupported Athena TTS WAV format");
+    }
+    const frames = Math.floor(data.length / (2 * channels));
+    const mono = new Int16Array(frames);
+    for (let i = 0; i < frames; i += 1)
+        mono[i] = data.readInt16LE(i * channels * 2);
+    if (sampleRate === 24000)
+        return Buffer.from(mono.buffer);
+    const outFrames = Math.max(1, Math.round(frames * 24000 / sampleRate));
+    const out = Buffer.alloc(outFrames * 2);
+    for (let i = 0; i < outFrames; i += 1) {
+        const source = i * sampleRate / 24000;
+        const left = Math.min(frames - 1, Math.floor(source));
+        const right = Math.min(frames - 1, left + 1);
+        const fraction = source - left;
+        const value = Math.round(mono[left] * (1 - fraction) + mono[right] * fraction);
+        out.writeInt16LE(Math.max(-32768, Math.min(32767, value)), i * 2);
+    }
+    return out;
+}
+class AthenaTalkBridge {
+    req;
+    cfg;
+    supportsToolResultContinuation = false;
+    supportsToolResultSuppression = false;
+    connected = false;
+    closed = false;
+    speaking = false;
+    speech = [];
+    prefix = [];
+    prefixBytes = 0;
+    silenceTimer;
+    active;
+    generation = 0;
+    constructor(req, cfg) {
+        this.req = req;
+        this.cfg = cfg;
+    }
+    async connect() {
+        this.connected = true;
+        this.req.onEvent?.({ direction: "server", type: "session.created" });
+        this.req.onReady?.();
+    }
+    isConnected() { return this.connected && !this.closed; }
+    setMediaTimestamp(_timestamp) { }
+    sendAudio(chunk) {
+        if (!this.isConnected() || chunk.length === 0)
+            return;
+        const voiced = pcmRms(chunk) >= this.cfg.vadThreshold;
+        const maxPrefix = Math.round(24000 * 2 * this.cfg.prefixPaddingMs / 1000);
+        if (!this.speaking) {
+            this.prefix.push(Buffer.from(chunk));
+            this.prefixBytes += chunk.length;
+            while (this.prefixBytes > maxPrefix && this.prefix.length > 1) {
+                this.prefixBytes -= this.prefix.shift().length;
+            }
+            if (!voiced)
+                return;
+            if (this.active) {
+                this.active.abort();
+                this.active = undefined;
+                this.generation += 1;
+                this.req.onClearAudio?.("barge-in");
+            }
+            this.speaking = true;
+            this.speech = this.prefix;
+            this.prefix = [];
+            this.prefixBytes = 0;
+        }
+        else {
+            this.speech.push(Buffer.from(chunk));
+        }
+        const maxBytes = this.cfg.maxSpeechSeconds * 24000 * 2;
+        if (this.speech.reduce((sum, part) => sum + part.length, 0) >= maxBytes) {
+            void this.finishSpeech();
+            return;
+        }
+        if (voiced) {
+            if (this.silenceTimer)
+                clearTimeout(this.silenceTimer);
+            this.silenceTimer = setTimeout(() => void this.finishSpeech(), this.cfg.silenceDurationMs);
+        }
+    }
+    sendUserMessage(text) {
+        const trimmed = text.trim();
+        if (trimmed)
+            void this.answer(trimmed);
+    }
+    triggerGreeting(instructions) {
+        void this.answer(instructions?.trim() || "Begrüße mich kurz auf Deutsch.");
+    }
+    submitToolResult(_callId, _result) { }
+    acknowledgeMark(_markName) { }
+    close() {
+        this.closed = true;
+        this.connected = false;
+        this.generation += 1;
+        this.active?.abort();
+        if (this.silenceTimer)
+            clearTimeout(this.silenceTimer);
+        this.req.onClose?.("completed");
+    }
+    async finishSpeech() {
+        if (!this.speaking)
+            return;
+        this.speaking = false;
+        if (this.silenceTimer)
+            clearTimeout(this.silenceTimer);
+        this.silenceTimer = undefined;
+        const pcm = Buffer.concat(this.speech);
+        this.speech = [];
+        if (pcm.length < 24000 * 2 * 0.25)
+            return;
+        try {
+            const text = await this.transcribe(pcm);
+            if (!text || !this.isConnected())
+                return;
+            this.req.onTranscript?.("user", text, true);
+            await this.answer(text);
+        }
+        catch (error) {
+            if (error.name !== "AbortError")
+                this.req.onError?.(error);
+        }
+    }
+    async transcribe(pcm) {
+        const form = new FormData();
+        form.append("file", new Blob([wavFromPcm16(pcm)], { type: "audio/wav" }), "talk.wav");
+        form.append("model", "whisper-1");
+        form.append("language", this.cfg.language);
+        const response = await fetch(`${this.cfg.baseUrl}/audio/transcriptions`, {
+            method: "POST",
+            headers: this.authHeaders(),
+            body: form,
+        });
+        if (!response.ok)
+            throw new Error(`Athena STT failed (HTTP ${response.status})`);
+        const payload = record(await response.json());
+        return String(payload.text || "").trim();
+    }
+    async answer(prompt) {
+        if (!this.req.runAgentConsult)
+            throw new Error("OpenClaw agent-consult is unavailable");
+        this.active?.abort();
+        const controller = new AbortController();
+        this.active = controller;
+        const generation = ++this.generation;
+        const responseId = `athena-${randomUUID()}`;
+        try {
+            const result = await this.req.runAgentConsult({ prompt, signal: controller.signal });
+            if (generation !== this.generation || !this.isConnected())
+                return;
+            const text = String(result?.text || "").trim();
+            if (!text)
+                return;
+            this.req.onTranscript?.("assistant", text, true);
+            const pcm = await this.synthesize(text, controller.signal);
+            if (generation !== this.generation || !this.isConnected())
+                return;
+            const frameBytes = 24000 * 2 / 50;
+            for (let offset = 0; offset < pcm.length; offset += frameBytes) {
+                this.req.onAudio?.(pcm.subarray(offset, Math.min(offset + frameBytes, pcm.length)));
+            }
+            this.req.onResponseDone?.({ status: "completed", responseId });
+            this.req.onEvent?.({ direction: "server", type: "response.done", responseId });
+        }
+        catch (error) {
+            if (error.name === "AbortError") {
+                this.req.onResponseDone?.({ status: "cancelled", responseId });
+            }
+            else {
+                this.req.onError?.(error);
+                this.req.onResponseDone?.({ status: "failed", responseId, error: String(error) });
+            }
+        }
+        finally {
+            if (this.active === controller)
+                this.active = undefined;
+        }
+    }
+    async synthesize(text, signal) {
+        const response = await fetch(`${this.cfg.baseUrl}/audio/speech`, {
+            method: "POST",
+            headers: { "Content-Type": "application/json", ...this.authHeaders() },
+            body: JSON.stringify({ voice: this.cfg.voice, input: text, response_format: "wav" }),
+            signal,
+        });
+        if (!response.ok)
+            throw new Error(`Athena TTS failed (HTTP ${response.status})`);
+        return readWavPcm24k(Buffer.from(await response.arrayBuffer()));
+    }
+    authHeaders() {
+        return this.cfg.apiKey ? { Authorization: `Bearer ${this.cfg.apiKey}` } : {};
+    }
+}
+export default definePluginEntry({
+    id: "athena-talk",
+    name: "Athena Local Talk",
+    description: "Private voice loop using Athena STT and TTS with the normal OpenClaw agent.",
+    register(api) {
+        api.registerRealtimeVoiceProvider({
+            id: "athena-talk",
+            label: "Athena Local Talk",
+            aliases: ["athena", "local-athena"],
+            defaultModel: "athena-local",
+            voices: ["alloy", "claribel"],
+            autoSelectOrder: 1,
+            capabilities: {
+                transports: ["gateway-relay"],
+                inputAudioFormats: [AUDIO_FORMAT],
+                outputAudioFormats: [AUDIO_FORMAT],
+                supportsBargeIn: true,
+                handlesInputAudioBargeIn: true,
+                supportsToolCalls: true,
+                supportsSessionResumption: false,
+            },
+            resolveConfig: ({ rawConfig }) => record(rawConfig),
+            isConfigured: ({ providerConfig, cfg }) => {
+                const raw = record(providerConfig);
+                const athena = record(record(record(cfg).models).providers).athena;
+                return Boolean(raw.baseUrl || record(athena).baseUrl);
+            },
+            createBridge: (req) => new AthenaTalkBridge(req, resolveConfig(req)),
+        });
+    },
+});
diff --git a/integrations/openclaw-athena-talk/index.ts b/integrations/openclaw-athena-talk/index.ts
new file mode 100644
index 0000000..cbb2bfa
--- /dev/null
+++ b/integrations/openclaw-athena-talk/index.ts
@@ -0,0 +1,309 @@
+import { randomUUID } from "node:crypto";
+import { definePluginEntry } from "openclaw/plugin-sdk/plugin-entry";
+
+const AUDIO_FORMAT = { encoding: "pcm16", sampleRateHz: 24000, channels: 1 } as const;
+
+type ProviderConfig = {
+  baseUrl?: string;
+  apiKey?: string;
+  voice?: string;
+  language?: string;
+  vadThreshold?: number;
+  silenceDurationMs?: number;
+  prefixPaddingMs?: number;
+  maxSpeechSeconds?: number;
+};
+
+function record(value: unknown): Record<string, any> {
+  return value && typeof value === "object" && !Array.isArray(value)
+    ? value as Record<string, any>
+    : {};
+}
+
+function resolveConfig(req: any): Required<ProviderConfig> {
+  const raw = record(req.providerConfig);
+  const modelProviders = record(record(req.cfg).models).providers;
+  const athena = record(record(modelProviders).athena);
+  return {
+    baseUrl: String(raw.baseUrl || athena.baseUrl || "http://192.168.1.212:8081/v1").replace(/\/$/, ""),
+    apiKey: String(raw.apiKey || athena.apiKey || ""),
+    voice: String(raw.voice || req.voice || "alloy"),
+    language: String(raw.language || req.language || "de"),
+    vadThreshold: Number(raw.vadThreshold ?? 0.018),
+    silenceDurationMs: Number(raw.silenceDurationMs ?? 750),
+    prefixPaddingMs: Number(raw.prefixPaddingMs ?? 300),
+    maxSpeechSeconds: Number(raw.maxSpeechSeconds ?? 45),
+  };
+}
+
+function wavFromPcm16(pcm: Buffer, sampleRate = 24000): Buffer {
+  const header = Buffer.alloc(44);
+  header.write("RIFF", 0);
+  header.writeUInt32LE(36 + pcm.length, 4);
+  header.write("WAVEfmt ", 8);
+  header.writeUInt32LE(16, 16);
+  header.writeUInt16LE(1, 20);
+  header.writeUInt16LE(1, 22);
+  header.writeUInt32LE(sampleRate, 24);
+  header.writeUInt32LE(sampleRate * 2, 28);
+  header.writeUInt16LE(2, 32);
+  header.writeUInt16LE(16, 34);
+  header.write("data", 36);
+  header.writeUInt32LE(pcm.length, 40);
+  return Buffer.concat([header, pcm]);
+}
+
+function pcmRms(pcm: Buffer): number {
+  if (pcm.length < 2) return 0;
+  let sum = 0;
+  const count = Math.floor(pcm.length / 2);
+  for (let i = 0; i < count; i += 1) {
+    const value = pcm.readInt16LE(i * 2) / 32768;
+    sum += value * value;
+  }
+  return Math.sqrt(sum / count);
+}
+
+function readWavPcm24k(wav: Buffer): Buffer {
+  if (wav.length < 44 || wav.toString("ascii", 0, 4) !== "RIFF") {
+    throw new Error("Athena TTS did not return PCM WAV audio");
+  }
+  let offset = 12;
+  let sampleRate = 0;
+  let channels = 0;
+  let bits = 0;
+  let data: Buffer | undefined;
+  while (offset + 8 <= wav.length) {
+    const id = wav.toString("ascii", offset, offset + 4);
+    const size = wav.readUInt32LE(offset + 4);
+    const start = offset + 8;
+    if (id === "fmt " && size >= 16) {
+      if (wav.readUInt16LE(start) !== 1) throw new Error("Athena TTS WAV is not PCM");
+      channels = wav.readUInt16LE(start + 2);
+      sampleRate = wav.readUInt32LE(start + 4);
+      bits = wav.readUInt16LE(start + 14);
+    } else if (id === "data") {
+      data = wav.subarray(start, Math.min(start + size, wav.length));
+    }
+    offset = start + size + (size % 2);
+  }
+  if (!data || !sampleRate || bits !== 16 || channels < 1) {
+    throw new Error("Unsupported Athena TTS WAV format");
+  }
+
+  const frames = Math.floor(data.length / (2 * channels));
+  const mono = new Int16Array(frames);
+  for (let i = 0; i < frames; i += 1) mono[i] = data.readInt16LE(i * channels * 2);
+  if (sampleRate === 24000) return Buffer.from(mono.buffer);
+
+  const outFrames = Math.max(1, Math.round(frames * 24000 / sampleRate));
+  const out = Buffer.alloc(outFrames * 2);
+  for (let i = 0; i < outFrames; i += 1) {
+    const source = i * sampleRate / 24000;
+    const left = Math.min(frames - 1, Math.floor(source));
+    const right = Math.min(frames - 1, left + 1);
+    const fraction = source - left;
+    const value = Math.round(mono[left] * (1 - fraction) + mono[right] * fraction);
+    out.writeInt16LE(Math.max(-32768, Math.min(32767, value)), i * 2);
+  }
+  return out;
+}
+
+class AthenaTalkBridge {
+  readonly supportsToolResultContinuation = false;
+  readonly supportsToolResultSuppression = false;
+  private connected = false;
+  private closed = false;
+  private speaking = false;
+  private speech: Buffer[] = [];
+  private prefix: Buffer[] = [];
+  private prefixBytes = 0;
+  private silenceTimer?: NodeJS.Timeout;
+  private active?: AbortController;
+  private generation = 0;
+
+  constructor(private readonly req: any, private readonly cfg: Required<ProviderConfig>) {}
+
+  async connect(): Promise<void> {
+    this.connected = true;
+    this.req.onEvent?.({ direction: "server", type: "session.created" });
+    this.req.onReady?.();
+  }
+
+  isConnected(): boolean { return this.connected && !this.closed; }
+
+  setMediaTimestamp(_timestamp: number): void {}
+
+  sendAudio(chunk: Buffer): void {
+    if (!this.isConnected() || chunk.length === 0) return;
+    const voiced = pcmRms(chunk) >= this.cfg.vadThreshold;
+    const maxPrefix = Math.round(24000 * 2 * this.cfg.prefixPaddingMs / 1000);
+
+    if (!this.speaking) {
+      this.prefix.push(Buffer.from(chunk));
+      this.prefixBytes += chunk.length;
+      while (this.prefixBytes > maxPrefix && this.prefix.length > 1) {
+        this.prefixBytes -= this.prefix.shift()!.length;
+      }
+      if (!voiced) return;
+      if (this.active) {
+        this.active.abort();
+        this.active = undefined;
+        this.generation += 1;
+        this.req.onClearAudio?.("barge-in");
+      }
+      this.speaking = true;
+      this.speech = this.prefix;
+      this.prefix = [];
+      this.prefixBytes = 0;
+    } else {
+      this.speech.push(Buffer.from(chunk));
+    }
+
+    const maxBytes = this.cfg.maxSpeechSeconds * 24000 * 2;
+    if (this.speech.reduce((sum, part) => sum + part.length, 0) >= maxBytes) {
+      void this.finishSpeech();
+      return;
+    }
+    if (voiced) {
+      if (this.silenceTimer) clearTimeout(this.silenceTimer);
+      this.silenceTimer = setTimeout(() => void this.finishSpeech(), this.cfg.silenceDurationMs);
+    }
+  }
+
+  sendUserMessage(text: string): void {
+    const trimmed = text.trim();
+    if (trimmed) void this.answer(trimmed);
+  }
+
+  triggerGreeting(instructions?: string): void {
+    void this.answer(instructions?.trim() || "Begrüße mich kurz auf Deutsch.");
+  }
+
+  submitToolResult(_callId: string, _result: unknown): void {}
+  acknowledgeMark(_markName: string): void {}
+
+  close(): void {
+    this.closed = true;
+    this.connected = false;
+    this.generation += 1;
+    this.active?.abort();
+    if (this.silenceTimer) clearTimeout(this.silenceTimer);
+    this.req.onClose?.("completed");
+  }
+
+  private async finishSpeech(): Promise<void> {
+    if (!this.speaking) return;
+    this.speaking = false;
+    if (this.silenceTimer) clearTimeout(this.silenceTimer);
+    this.silenceTimer = undefined;
+    const pcm = Buffer.concat(this.speech);
+    this.speech = [];
+    if (pcm.length < 24000 * 2 * 0.25) return;
+
+    try {
+      const text = await this.transcribe(pcm);
+      if (!text || !this.isConnected()) return;
+      this.req.onTranscript?.("user", text, true);
+      await this.answer(text);
+    } catch (error) {
+      if ((error as Error).name !== "AbortError") this.req.onError?.(error as Error);
+    }
+  }
+
+  private async transcribe(pcm: Buffer): Promise<string> {
+    const form = new FormData();
+    form.append("file", new Blob([wavFromPcm16(pcm)], { type: "audio/wav" }), "talk.wav");
+    form.append("model", "whisper-1");
+    form.append("language", this.cfg.language);
+    const response = await fetch(`${this.cfg.baseUrl}/audio/transcriptions`, {
+      method: "POST",
+      headers: this.authHeaders(),
+      body: form,
+    });
+    if (!response.ok) throw new Error(`Athena STT failed (HTTP ${response.status})`);
+    const payload = record(await response.json());
+    return String(payload.text || "").trim();
+  }
+
+  private async answer(prompt: string): Promise<void> {
+    if (!this.req.runAgentConsult) throw new Error("OpenClaw agent-consult is unavailable");
+    this.active?.abort();
+    const controller = new AbortController();
+    this.active = controller;
+    const generation = ++this.generation;
+    const responseId = `athena-${randomUUID()}`;
+    try {
+      const result = await this.req.runAgentConsult({ prompt, signal: controller.signal });
+      if (generation !== this.generation || !this.isConnected()) return;
+      const text = String(result?.text || "").trim();
+      if (!text) return;
+      this.req.onTranscript?.("assistant", text, true);
+      const pcm = await this.synthesize(text, controller.signal);
+      if (generation !== this.generation || !this.isConnected()) return;
+      const frameBytes = 24000 * 2 / 50;
+      for (let offset = 0; offset < pcm.length; offset += frameBytes) {
+        this.req.onAudio?.(pcm.subarray(offset, Math.min(offset + frameBytes, pcm.length)));
+      }
+      this.req.onResponseDone?.({ status: "completed", responseId });
+      this.req.onEvent?.({ direction: "server", type: "response.done", responseId });
+    } catch (error) {
+      if ((error as Error).name === "AbortError") {
+        this.req.onResponseDone?.({ status: "cancelled", responseId });
+      } else {
+        this.req.onError?.(error as Error);
+        this.req.onResponseDone?.({ status: "failed", responseId, error: String(error) });
+      }
+    } finally {
+      if (this.active === controller) this.active = undefined;
+    }
+  }
+
+  private async synthesize(text: string, signal: AbortSignal): Promise<Buffer> {
+    const response = await fetch(`${this.cfg.baseUrl}/audio/speech`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json", ...this.authHeaders() },
+      // Let Athena select its currently active local backend (XTTS or Piper).
+      body: JSON.stringify({ voice: this.cfg.voice, input: text, response_format: "wav" }),
+      signal,
+    });
+    if (!response.ok) throw new Error(`Athena TTS failed (HTTP ${response.status})`);
+    return readWavPcm24k(Buffer.from(await response.arrayBuffer()));
+  }
+
+  private authHeaders(): Record<string, string> {
+    return this.cfg.apiKey ? { Authorization: `Bearer ${this.cfg.apiKey}` } : {};
+  }
+}
+
+export default definePluginEntry({
+  id: "athena-talk",
+  name: "Athena Local Talk",
+  description: "Private voice loop using Athena STT and TTS with the normal OpenClaw agent.",
+  register(api) {
+    api.registerRealtimeVoiceProvider({
+      id: "athena-talk",
+      label: "Athena Local Talk",
+      aliases: ["athena", "local-athena"],
+      defaultModel: "athena-local",
+      voices: ["alloy", "claribel"],
+      autoSelectOrder: 1,
+      capabilities: {
+        transports: ["gateway-relay"],
+        inputAudioFormats: [AUDIO_FORMAT],
+        outputAudioFormats: [AUDIO_FORMAT],
+        supportsBargeIn: true,
+        handlesInputAudioBargeIn: true,
+        supportsToolCalls: true,
+        supportsSessionResumption: false,
+      },
+      resolveConfig: ({ rawConfig }) => record(rawConfig),
+      isConfigured: ({ providerConfig, cfg }) => {
+        const raw = record(providerConfig);
+        const athena = record(record(record(cfg).models).providers).athena;
+        return Boolean(raw.baseUrl || record(athena).baseUrl);
+      },
+      createBridge: (req) => new AthenaTalkBridge(req, resolveConfig(req)),
+    } as any);
+  },
+});
diff --git a/integrations/openclaw-athena-talk/openclaw.plugin.json b/integrations/openclaw-athena-talk/openclaw.plugin.json
new file mode 100644
index 0000000..c5e8a49
--- /dev/null
+++ b/integrations/openclaw-athena-talk/openclaw.plugin.json
@@ -0,0 +1,23 @@
+{
+  "id": "athena-talk",
+  "name": "Athena Local Talk",
+  "description": "Local German voice conversations through Athena without a public speech provider.",
+  "version": "0.1.0",
+  "enabledByDefault": true,
+  "activation": {
+    "onStartup": true,
+    "capabilities": [
+      "provider"
+    ]
+  },
+  "contracts": {
+    "realtimeVoiceProviders": [
+      "athena-talk"
+    ]
+  },
+  "configSchema": {
+    "type": "object",
+    "additionalProperties": false,
+    "properties": {}
+  }
+}
diff --git a/integrations/openclaw-athena-talk/package.json b/integrations/openclaw-athena-talk/package.json
new file mode 100644
index 0000000..8333bc9
--- /dev/null
+++ b/integrations/openclaw-athena-talk/package.json
@@ -0,0 +1,23 @@
+{
+  "name": "openclaw-plugin-athena-talk",
+  "version": "0.1.0",
+  "description": "Private realtime Talk bridge for Athena STT, OpenClaw agent consult, and Athena TTS.",
+  "type": "module",
+  "private": true,
+  "peerDependencies": {
+    "openclaw": ">=2026.8.2"
+  },
+  "peerDependenciesMeta": {
+    "openclaw": {
+      "optional": true
+    }
+  },
+  "openclaw": {
+    "extensions": [
+      "./dist/index.js"
+    ],
+    "compat": {
+      "pluginApi": ">=2026.8.2"
+    }
+  }
+}
diff --git a/platform/docker/whisper/Dockerfile b/platform/docker/whisper/Dockerfile
index 8c2925f..9268e8c 100644
--- a/platform/docker/whisper/Dockerfile
+++ b/platform/docker/whisper/Dockerfile
@@ -11,7 +11,7 @@ RUN apt-get update \
        -DCMAKE_BUILD_TYPE=Release \
        -DGGML_NATIVE=ON \
        -DWHISPER_BUILD_TESTS=OFF \
-       -DWHISPER_BUILD_SERVER=OFF \
+       -DWHISPER_BUILD_SERVER=ON \
     && cmake --build /opt/whisper.cpp/build --config Release -j"$(nproc)" \
     && apt-get purge -y --auto-remove build-essential cmake git \
     && rm -rf /var/lib/apt/lists/* /root/.cache \
@@ -25,7 +25,8 @@ RUN chmod 0755 /usr/local/bin/mike-ai-whisper-entrypoint
 ENV WHISPER_HOST=0.0.0.0 \
     WHISPER_PORT=8084 \
     WHISPER_CLI=/opt/whisper.cpp/build/bin/whisper-cli \
-    WHISPER_MODEL=/models/ggml-large-v3-turbo.bin \
+    WHISPER_MODEL=/models/ggml-small.bin \
+    WHISPER_SERVER_URL=http://127.0.0.1:8085 \
     WHISPER_THREADS=8 \
     WHISPER_LANGUAGE=de \
     FFMPEG_BIN=/usr/bin/ffmpeg
diff --git a/platform/docker/whisper/entrypoint.sh b/platform/docker/whisper/entrypoint.sh
index 2bf53eb..25cfcd6 100644
--- a/platform/docker/whisper/entrypoint.sh
+++ b/platform/docker/whisper/entrypoint.sh
@@ -1,8 +1,8 @@
 #!/bin/sh
 set -eu
 
-model=${WHISPER_MODEL:-/models/ggml-large-v3-turbo.bin}
-model_url=${WHISPER_MODEL_URL:-https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo.bin}
+model=${WHISPER_MODEL:-/models/ggml-small.bin}
+model_url=${WHISPER_MODEL_URL:-https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin}
 model_dir=$(dirname "$model")
 
 mkdir -p "$model_dir"
@@ -22,4 +22,44 @@ if [ ! -s "$model" ]; then
   gosu whisper mv "$partial" "$model"
 fi
 
-exec gosu whisper python /app/stt_worker.py
+server_port=${WHISPER_SERVER_PORT:-8085}
+server_log=/tmp/whisper-server.log
+
+gosu whisper /opt/whisper.cpp/build/bin/whisper-server \
+  --model "$model" \
+  --threads "${WHISPER_THREADS:-8}" \
+  --language "${WHISPER_LANGUAGE:-de}" \
+  --host 127.0.0.1 \
+  --port "$server_port" \
+  --inference-path /inference \
+  --no-gpu >"$server_log" 2>&1 &
+
+server_pid=$!
+worker_pid=""
+cleanup() {
+  [ -z "$worker_pid" ] || kill "$worker_pid" 2>/dev/null || true
+  kill "$server_pid" 2>/dev/null || true
+}
+trap cleanup EXIT INT TERM
+
+# Der Modell-Load dauert beim Containerstart kurz. Der HTTP-Wrapper wird erst
+# freigegeben, wenn whisper-server tatsächlich Antworten annimmt.
+i=0
+until curl --fail --silent "http://127.0.0.1:${server_port}/" >/dev/null; do
+  i=$((i + 1))
+  if ! kill -0 "$server_pid" 2>/dev/null; then
+    cat "$server_log"
+    exit 1
+  fi
+  if [ "$i" -ge 180 ]; then
+    echo "whisper-server did not become ready" >&2
+    cat "$server_log"
+    exit 1
+  fi
+  sleep 1
+done
+
+export WHISPER_SERVER_URL="http://127.0.0.1:${server_port}"
+gosu whisper python /app/stt_worker.py &
+worker_pid=$!
+wait "$worker_pid"
diff --git a/router/stt_worker.py b/router/stt_worker.py
index 2cc856c..60e6c88 100644
--- a/router/stt_worker.py
+++ b/router/stt_worker.py
@@ -3,7 +3,8 @@
 STT-Worker – langlebiger Whisper-Transkriptions-Service (CPU-only).
 
 Liest Audio-Dateien (WAV, MP3, OGG, FLAC, WebM/Opus via ffmpeg),
-transkribiert sie mit whisper.cpp (whisper-cli) und liefert JSON-Text.
+transkribiert sie mit einem dauerhaft geladenen whisper.cpp-Server (mit
+whisper-cli als Rückfallweg) und liefert JSON-Text.
 
 Konfiguration über Umgebungsvariablen:
   WHISPER_HOST       Bind-Adresse (Default: 127.0.0.1)
@@ -28,6 +29,7 @@ import sys
 import tempfile
 import time
 import uuid
+import urllib.request
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 
 # ---------------------------------------------------------------------------
@@ -45,6 +47,7 @@ WHISPER_MODEL = os.environ.get(
 )
 WHISPER_THREADS = int(os.environ.get("WHISPER_THREADS", "8"))
 WHISPER_LANGUAGE = os.environ.get("WHISPER_LANGUAGE", "de")
+WHISPER_SERVER_URL = os.environ.get("WHISPER_SERVER_URL", "").rstrip("/")
 FFMPEG_BIN = os.environ.get("FFMPEG_BIN", "/usr/bin/ffmpeg")
 LOG_LEVEL = os.environ.get("LOG_LEVEL", "INFO")
 
@@ -139,13 +142,22 @@ def transcribe(
     temperature: float | None = None,
 ) -> dict:
     """
-    Führt die Transkription mit whisper-cli aus.
+    Führt die Transkription bevorzugt über den persistenten whisper.cpp-
+    Server aus. Dadurch wird das Modell nicht pro Aufnahme neu geladen.
     Liefert dict mit 'text' und Metadaten.
     """
     lang = language or WHISPER_LANGUAGE
     if lang == "auto":
         lang = "auto"
 
+    if WHISPER_SERVER_URL:
+        return _transcribe_via_server(
+            audio_path,
+            language=lang,
+            prompt=prompt,
+            temperature=temperature,
+        )
+
     out_prefix = f"/tmp/stt_{uuid.uuid4().hex[:12]}"
     out_json = out_prefix + ".json"
 
@@ -217,6 +229,65 @@ def transcribe(
     return result
 
 
+def _transcribe_via_server(
+    audio_path: str,
+    language: str,
+    prompt: str | None = None,
+    temperature: float | None = None,
+) -> dict:
+    """Sendet eine Aufnahme an den bereits geladenen whisper-server."""
+    boundary = f"----athena-whisper-{uuid.uuid4().hex}"
+    chunks: list[bytes] = []
+
+    def add_field(name: str, value: str) -> None:
+        chunks.extend([
+            f"--{boundary}\r\n".encode(),
+            f'Content-Disposition: form-data; name="{name}"\r\n\r\n'.encode(),
+            value.encode("utf-8"),
+            b"\r\n",
+        ])
+
+    with open(audio_path, "rb") as f:
+        audio = f.read()
+    chunks.extend([
+        f"--{boundary}\r\n".encode(),
+        b'Content-Disposition: form-data; name="file"; filename="audio.wav"\r\n',
+        b"Content-Type: audio/wav\r\n\r\n",
+        audio,
+        b"\r\n",
+    ])
+    add_field("response_format", "json")
+    add_field("language", language)
+    if prompt:
+        add_field("prompt", prompt)
+    if temperature is not None:
+        add_field("temperature", str(temperature))
+    chunks.append(f"--{boundary}--\r\n".encode())
+
+    request = urllib.request.Request(
+        f"{WHISPER_SERVER_URL}/inference",
+        data=b"".join(chunks),
+        headers={"Content-Type": f"multipart/form-data; boundary={boundary}"},
+        method="POST",
+    )
+    t0 = time.monotonic()
+    with urllib.request.urlopen(request, timeout=300) as response:
+        payload = json.loads(response.read().decode("utf-8"))
+    elapsed = time.monotonic() - t0
+    text = payload.get("text", "") if isinstance(payload, dict) else ""
+    result = {
+        "text": text.strip(),
+        "language": language,
+        "duration_ms": int(elapsed * 1000),
+        "engine": "whisper-server",
+    }
+    log.info(
+        "Transkription (persistent): %d ms, %d Zeichen, Sprache=%s",
+        result["duration_ms"], len(result["text"]), language,
+    )
+    return result
+
+
 # ---------------------------------------------------------------------------
 # HTTP-Handler
 # ---------------------------------------------------------------------------
@@ -300,6 +371,8 @@ class STTHandler(BaseHTTPRequestHandler):
                 "whisper_cli_exists": cli_ok,
                 "threads": WHISPER_THREADS,
                 "language": WHISPER_LANGUAGE,
+                "server_url": WHISPER_SERVER_URL or None,
+                "persistent_model": bool(WHISPER_SERVER_URL),
                 "ffmpeg": FFMPEG_BIN,
                 "ffmpeg_exists": os.path.isfile(FFMPEG_BIN),
             })