diff --git a/README.md b/README.md
index 561e41ac..3d00c9db 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ agent = Agent(
 
 **Realtime:** [OpenAI Realtime](https://visionagents.ai/integrations/openai) · [Gemini Live](https://visionagents.ai/integrations/gemini) · [AWS Nova Sonic](https://visionagents.ai/integrations/aws-bedrock) · [Qwen](https://visionagents.ai/integrations/qwen) · [Inworld](https://visionagents.ai/integrations/inworld)
 
-**STT:** [Deepgram](https://visionagents.ai/integrations/deepgram) · [AssemblyAI](https://www.assemblyai.com/docs/streaming/universal-3-pro) · [Fast-Whisper](https://visionagents.ai/integrations/fast-whisper) · [Fish Audio](https://visionagents.ai/integrations/fish) · [Wizper](https://visionagents.ai/integrations/wizper) · [Mistral Voxtral](https://visionagents.ai/integrations/mistral)
+**STT:** [Deepgram](https://visionagents.ai/integrations/deepgram) · [AssemblyAI](https://www.assemblyai.com/docs/streaming/universal-3-pro) · [Fast-Whisper](https://visionagents.ai/integrations/fast-whisper) · [FunASR](https://github.com/GetStream/Vision-Agents/tree/main/plugins/funasr) · [Fish Audio](https://visionagents.ai/integrations/fish) · [Wizper](https://visionagents.ai/integrations/wizper) · [Mistral Voxtral](https://visionagents.ai/integrations/mistral)
 
 **TTS:** [ElevenLabs](https://visionagents.ai/integrations/elevenlabs) · [Cartesia](https://visionagents.ai/integrations/cartesia) · [Deepgram](https://visionagents.ai/integrations/deepgram) · [AWS Polly](https://visionagents.ai/integrations/aws-polly) · [Pocket](https://visionagents.ai/integrations/pocket) · [Kokoro](https://visionagents.ai/integrations/kokoro) · [Inworld](https://visionagents.ai/integrations/inworld) · [Fish Audio](https://visionagents.ai/integrations/fish)
 
diff --git a/agents-core/pyproject.toml b/agents-core/pyproject.toml
index 4231aacf..6ef9175a 100644
--- a/agents-core/pyproject.toml
+++ b/agents-core/pyproject.toml
@@ -73,6 +73,7 @@ openrouter = ["vision-agents-plugins-openrouter"]
 pocket = ["vision-agents-plugins-pocket"]
 qwen = ["vision-agents-plugins-qwen"]
 fish = ["vision-agents-plugins-fish"]
+funasr = ["vision-agents-plugins-funasr"]
 fast-whisper = ["vision-agents-plugins-fast-whisper"]
 decart = ["vision-agents-plugins-decart"]
 twilio = ["vision-agents-plugins-twilio"]
diff --git a/plugins/funasr/README.md b/plugins/funasr/README.md
new file mode 100644
index 00000000..677ca4cb
--- /dev/null
+++ b/plugins/funasr/README.md
@@ -0,0 +1,34 @@
+# Vision Agents — FunASR STT plugin
+
+Local, self-hosted speech-to-text for [Vision Agents](https://visionagents.ai/),
+powered by [FunASR](https://github.com/modelscope/FunASR) (SenseVoice / Fun-ASR-Nano /
+Paraformer). Strong on Chinese, Cantonese, Japanese, Korean and more; runs locally on
+CPU or CUDA with **no API key**.
+
+## Install
+
+```bash
+uv add vision-agents-plugins-funasr
+# or: pip install vision-agents-plugins-funasr
+```
+
+## Usage
+
+```python
+from vision_agents.plugins import funasr
+
+# Default: SenseVoice-Small (fast, multilingual, CPU-friendly)
+stt = funasr.STT(model="iic/SenseVoiceSmall", language="auto", device="cpu")
+
+# On a GPU, use the flagship LLM-ASR model:
+# stt = funasr.STT(model="FunAudioLLM/Fun-ASR-Nano-2512", device="cuda")
+```
+
+| Arg | Default | Description |
+|---|---|---|
+| `model` | `iic/SenseVoiceSmall` | FunASR model id. Use `FunAudioLLM/Fun-ASR-Nano-2512` (flagship) on GPU, or `paraformer-zh` for Chinese. |
+| `language` | `auto` | Language hint, or `auto` to detect. |
+| `device` | `cpu` | `cpu` or `cuda`. |
+| `use_itn` | `true` | Apply inverse text normalization. |
+
+The model downloads automatically on first run.
diff --git a/plugins/funasr/example/__init__.py b/plugins/funasr/example/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/plugins/funasr/example/funasr_example.py b/plugins/funasr/example/funasr_example.py
new file mode 100644
index 00000000..81ef2736
--- /dev/null
+++ b/plugins/funasr/example/funasr_example.py
@@ -0,0 +1,15 @@
+"""Minimal example: construct the FunASR STT plugin for a Vision Agents pipeline.
+
+The model downloads on first run; on a GPU swap to the flagship Fun-ASR-Nano.
+"""
+
+from vision_agents.plugins import funasr
+
+
+def build_stt():
+    return funasr.STT(model="iic/SenseVoiceSmall", language="auto", device="cpu")
+
+
+if __name__ == "__main__":
+    stt = build_stt()
+    print(f"FunASR STT ready: provider={stt.provider_name} model={stt.model_id}")
diff --git a/plugins/funasr/py.typed b/plugins/funasr/py.typed
new file mode 100644
index 00000000..e69de29b
diff --git a/plugins/funasr/pyproject.toml b/plugins/funasr/pyproject.toml
new file mode 100644
index 00000000..41a9ee26
--- /dev/null
+++ b/plugins/funasr/pyproject.toml
@@ -0,0 +1,40 @@
+[build-system]
+requires = ["hatchling", "hatch-vcs"]
+build-backend = "hatchling.build"
+
+[project]
+name = "vision-agents-plugins-funasr"
+dynamic = ["version"]
+description = "FunASR (SenseVoice / Fun-ASR-Nano / Paraformer) local STT integration for Vision Agents"
+readme = "README.md"
+keywords = ["funasr", "sensevoice", "STT", "speech-to-text", "AI", "voice agents", "agents", "chinese"]
+requires-python = ">=3.10"
+license = "MIT"
+dependencies = [
+    "vision-agents",
+    "funasr>=1.1.0",
+]
+
+[project.urls]
+Documentation = "https://visionagents.ai/"
+Website = "https://visionagents.ai/"
+Source = "https://github.com/GetStream/Vision-Agents"
+
+[tool.hatch.version]
+source = "vcs"
+raw-options = { root = "..", search_parent_directories = true, fallback_version = "0.0.0" }
+
+[tool.hatch.build.targets.wheel]
+packages = ["vision_agents"]
+
+[tool.hatch.build.targets.sdist]
+include = ["vision_agents"]
+
+[tool.uv.sources]
+vision-agents = { workspace = true }
+
+[dependency-groups]
+dev = [
+    "pytest>=8.4.1",
+    "pytest-asyncio>=1.0.0",
+]
diff --git a/plugins/funasr/tests/test_funasr_stt.py b/plugins/funasr/tests/test_funasr_stt.py
new file mode 100644
index 00000000..0c6cddca
--- /dev/null
+++ b/plugins/funasr/tests/test_funasr_stt.py
@@ -0,0 +1,86 @@
+import asyncio
+
+import numpy as np
+import pytest
+from getstream.video.rtc.track_util import AudioFormat, PcmData
+
+from vision_agents.plugins import funasr
+
+
+@pytest.fixture
+def stt_factory():
+    instances = []
+
+    def create_stt(*args, **kwargs):
+        stt = funasr.STT(*args, **kwargs)
+        instances.append(stt)
+        return stt
+
+    yield create_stt
+
+    for stt in instances:
+        asyncio.run(stt.close())
+
+
+class _FakeAutoModel:
+    pass
+
+
+class _ExplodingAutoModel:
+    def generate(self, **kwargs):
+        raise AssertionError("unexpected transcription bug")
+
+
+class _FakeSamples:
+    def __init__(self, size=0):
+        self.size = size
+
+
+class _ExplodingPcmData:
+    samples = _FakeSamples(size=1)
+
+    def resample(self, sample_rate):
+        raise AssertionError("unexpected audio bug")
+
+
+class TestSTT:
+    """Unit tests for the FunASR STT plugin (no model loaded)."""
+
+    def test_construct(self, stt_factory):
+        """The plugin constructs and exposes the expected defaults without loading a model."""
+        stt = stt_factory()
+        assert stt.provider_name == "funasr"
+        assert stt.model_id == "iic/SenseVoiceSmall"
+        assert stt.language == "auto"
+        assert stt.device == "cpu"
+        assert stt.use_itn is True
+
+    def test_custom_params(self, stt_factory):
+        stt = stt_factory(
+            model="FunAudioLLM/Fun-ASR-Nano-2512",
+            language="zh",
+            device="cuda",
+            use_itn=False,
+        )
+        assert stt.model_id == "FunAudioLLM/Fun-ASR-Nano-2512"
+        assert stt.language == "zh"
+        assert stt.device == "cuda"
+        assert stt.use_itn is False
+
+    def test_process_audio_raises_unexpected_buffer_errors(self, stt_factory):
+        stt = stt_factory(client=_FakeAutoModel())
+
+        with pytest.raises(AssertionError, match="unexpected audio bug"):
+            asyncio.run(stt.process_audio(_ExplodingPcmData(), participant=object()))
+
+    def test_process_buffer_raises_unexpected_transcription_errors(self, stt_factory):
+        stt = stt_factory(client=_ExplodingAutoModel())
+        pcm_data = PcmData(
+            samples=np.zeros(16000 * 8, dtype=np.float32),
+            sample_rate=16000,
+            channels=1,
+            format=AudioFormat.F32,
+        )
+
+        with pytest.raises(AssertionError, match="unexpected transcription bug"):
+            asyncio.run(stt.process_audio(pcm_data, participant=object()))
diff --git a/plugins/funasr/vision_agents/plugins/funasr/__init__.py b/plugins/funasr/vision_agents/plugins/funasr/__init__.py
new file mode 100644
index 00000000..3d16ab45
--- /dev/null
+++ b/plugins/funasr/vision_agents/plugins/funasr/__init__.py
@@ -0,0 +1,3 @@
+from .stt import STT
+
+__all__ = ["STT"]
diff --git a/plugins/funasr/vision_agents/plugins/funasr/stt.py b/plugins/funasr/vision_agents/plugins/funasr/stt.py
new file mode 100644
index 00000000..3cc333f7
--- /dev/null
+++ b/plugins/funasr/vision_agents/plugins/funasr/stt.py
@@ -0,0 +1,204 @@
+import asyncio
+import logging
+import time
+from concurrent.futures import ThreadPoolExecutor
+from typing import Optional
+
+from funasr import AutoModel
+from funasr.utils.postprocess_utils import rich_transcription_postprocess
+from getstream.video.rtc.track_util import AudioFormat, PcmData
+from numpy.typing import NDArray
+from vision_agents.core import stt
+from vision_agents.core.edge.types import Participant
+from vision_agents.core.stt import TranscriptResponse
+from vision_agents.core.warmup import Warmable
+
+logger = logging.getLogger(__name__)
+
+# Audio processing constants
+RATE = 16000  # Sample rate in Hz (16kHz)
+MIN_BUFFER_DURATION_MS = 1000  # Minimum buffer duration before processing (1 second)
+MAX_BUFFER_DURATION_MS = 8000  # Maximum buffer duration before forcing processing
+PROCESS_INTERVAL_MS = 2000  # Process buffer every 2 seconds if it has content
+
+
+class STT(stt.STT, Warmable[Optional[AutoModel]]):
+    """
+    FunASR Speech-to-Text implementation (local, self-hosted).
+
+    Uses `FunASR <https://github.com/modelscope/FunASR>`_ (SenseVoice / Fun-ASR-Nano /
+    Paraformer) for offline transcription — strong on Chinese, Cantonese, Japanese,
+    Korean and more. The model runs locally on CPU or CUDA; no API key is required.
+
+    FunASR is not a streaming STT, so this implementation:
+
+    1. Buffers incoming audio chunks.
+    2. Processes the buffer periodically (every 2 seconds) or when it reaches max
+       duration.
+    3. Emits a final transcript for each processed buffer.
+    """
+
+    def __init__(
+        self,
+        model: str = "iic/SenseVoiceSmall",
+        language: str = "auto",
+        device: str = "cpu",
+        use_itn: bool = True,
+        client: Optional[AutoModel] = None,
+    ):
+        """
+        Initialize FunASR STT.
+
+        Args:
+            model: FunASR model id. Defaults to ``iic/SenseVoiceSmall`` (fast,
+                multilingual, CPU-friendly). Use ``FunAudioLLM/Fun-ASR-Nano-2512``
+                (the flagship LLM-ASR model) on GPU, or ``paraformer-zh`` for Chinese.
+            language: Language hint (e.g. ``"zh"``, ``"en"``) or ``"auto"`` to detect.
+            device: Device to run on (``"cpu"`` or ``"cuda"``).
+            use_itn: Apply inverse text normalization.
+            client: Optional pre-initialized FunASR ``AutoModel`` instance.
+        """
+        super().__init__(provider_name="funasr")
+
+        self.model_id = model
+        self.language = language
+        self.device = device
+        self.use_itn = use_itn
+
+        self.funasr = client
+
+        self._audio_buffer = PcmData(
+            sample_rate=RATE, channels=1, format=AudioFormat.F32
+        )
+        self._last_process_time = time.time()
+        self._executor = ThreadPoolExecutor(max_workers=1)
+
+    async def on_warmup(self) -> Optional[AutoModel]:
+        if self.funasr is None:
+            logger.info(f"Loading FunASR model: {self.model_id}")
+            loop = asyncio.get_running_loop()
+            model = await loop.run_in_executor(
+                self._executor,
+                lambda: AutoModel(
+                    model=self.model_id, device=self.device, disable_update=True
+                ),
+            )
+            logger.info("FunASR model loaded")
+            return model
+
+        # The model is already provided on init, no need to load it
+        return None
+
+    def on_warmed_up(self, model: Optional[AutoModel]) -> None:
+        if self.funasr is None:
+            self.funasr = model
+
+    async def process_audio(
+        self,
+        pcm_data: PcmData,
+        participant: Participant,
+    ):
+        """
+        Buffer audio and process it periodically through FunASR.
+
+        Args:
+            pcm_data: The PCM audio data to process.
+            participant: Optional participant metadata.
+        """
+        if self.closed:
+            logger.warning("FunASR STT is closed, ignoring audio")
+            return
+
+        if self.funasr is None:
+            raise ValueError("FunASR model not loaded, call warmup() first")
+
+        if pcm_data.samples.size == 0:
+            return
+
+        try:
+            audio_data = pcm_data.resample(RATE).to_float32()
+            self._audio_buffer = self._audio_buffer.append(audio_data)
+
+            current_time = time.time()
+            buffer_duration_ms = self._audio_buffer.duration_ms
+            buffer_size = self._audio_buffer.samples.size
+            time_since_last_process = (current_time - self._last_process_time) * 1000
+
+            should_process = (
+                buffer_duration_ms >= MIN_BUFFER_DURATION_MS
+                and buffer_size > 0
+                and (
+                    time_since_last_process >= PROCESS_INTERVAL_MS
+                    or buffer_duration_ms >= MAX_BUFFER_DURATION_MS
+                )
+            )
+
+            if should_process:
+                await self._process_buffer(participant)
+
+        except ValueError:
+            logger.exception("Invalid PCM audio while buffering for FunASR")
+        except RuntimeError:
+            logger.exception("Audio buffering/runtime error for FunASR")
+
+    async def _process_buffer(self, participant: Participant):
+        """Process the current audio buffer through FunASR."""
+        buffer_to_process = self._audio_buffer
+
+        self._audio_buffer = PcmData(
+            sample_rate=RATE, channels=1, format=AudioFormat.F32
+        )
+        self._last_process_time = time.time()
+
+        pcm = buffer_to_process.resample(RATE).to_float32()
+        audio_array = pcm.samples
+
+        if audio_array.size == 0:
+            return
+
+        start_time = time.time()
+
+        try:
+            text = await self._transcribe(audio_array=audio_array)
+        except (RuntimeError, ValueError, KeyError, IndexError, TypeError):
+            logger.exception("Error processing audio buffer with FunASR")
+            return
+
+        processing_time_ms = (time.time() - start_time) * 1000
+
+        if text:
+            response = TranscriptResponse(
+                confidence=None,
+                language=self.language,
+                processing_time_ms=processing_time_ms,
+                audio_duration_ms=buffer_to_process.duration_ms,
+                model_name=f"funasr-{self.model_id}",
+            )
+            self._emit_transcript_event(text, participant, response, mode="final")
+
+    async def close(self):
+        """Close the STT and clean up resources."""
+        try:
+            await super().close()
+        finally:
+            self._executor.shutdown(wait=False)
+
+    async def _transcribe(self, audio_array: NDArray) -> str:
+        if self.funasr is None:
+            raise ValueError("FunASR model not loaded, call warmup() first")
+
+        model = self.funasr  # Type narrowing for closure
+
+        def _worker() -> str:
+            res = model.generate(
+                input=audio_array,
+                language=self.language,
+                use_itn=self.use_itn,
+            )
+            if not res:
+                return ""
+            # SenseVoice output carries tags like <|zh|><|NEUTRAL|>...; strip them.
+            return rich_transcription_postprocess(res[0]["text"]).strip()
+
+        loop = asyncio.get_running_loop()
+        return await loop.run_in_executor(self._executor, _worker)
diff --git a/pyproject.toml b/pyproject.toml
index 08523321..0188d871 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,6 +11,7 @@ vision-agents-plugins-deepgram = { workspace = true }
 vision-agents-plugins-elevenlabs = { workspace = true }
 vision-agents-plugins-fal = { workspace = true }
 vision-agents-plugins-fish = { workspace = true }
+vision-agents-plugins-funasr = { workspace = true }
 vision-agents-plugins-gemini = { workspace = true }
 vision-agents-plugins-kokoro = { workspace = true }
 vision-agents-plugins-openai = { workspace = true }
@@ -62,6 +63,7 @@ members = [
     "plugins/deepgram",
     "plugins/elevenlabs",
     "plugins/fish",
+    "plugins/funasr",
     "plugins/gemini",
     "plugins/kokoro",
     "plugins/openai",
diff --git a/uv.lock b/uv.lock
index eaa86748..8685d774 100644
--- a/uv.lock
+++ b/uv.lock
@@ -21,6 +21,7 @@ members = [
     "vision-agents-plugins-elevenlabs",
     "vision-agents-plugins-fast-whisper",
     "vision-agents-plugins-fish",
+    "vision-agents-plugins-funasr",
     "vision-agents-plugins-gemini",
     "vision-agents-plugins-getstream",
     "vision-agents-plugins-huggingface",
@@ -296,6 +297,36 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/af/ae/904b7bf58281d2bc1f3d6d48813bbcee742d1f8e3f9c0e1c451b0f67eb5a/albumentations-1.4.24-py3-none-any.whl", hash = "sha256:2f639257a11e681071f4f7d10f6a6d874ae705bcce52746874cd8d7e317a16d7", size = 274921, upload-time = "2024-12-24T21:59:32.202Z" },
 ]
 
+[[package]]
+name = "aliyun-python-sdk-core"
+version = "2.11.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycryptodome" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/cc/ad/e32feeaaef73ed3202ee157a5e95df38f389085decab52c29ef4d93eb9db/aliyun-python-sdk-core-2.11.5.tar.gz", hash = "sha256:577265c630c02207c692ca19958bd21665d56208306a834d0885e7770553975e", size = 33792, upload-time = "2019-01-08T18:59:18.741Z" }
+
+[[package]]
+name = "aliyun-python-sdk-core-v3"
+version = "2.11.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycryptodome" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e2/04/6176b46909f17953cb14d268eca09d02b183ddd1f9fdbe1eb9dfa2d215d0/aliyun-python-sdk-core-v3-2.11.5.tar.gz", hash = "sha256:129052ba3fc3fc421f8d8b66ebfa33d3bb9c37c189714392076f4ac63a3150a5", size = 34267, upload-time = "2019-01-08T18:59:32.825Z" }
+
+[[package]]
+name = "aliyun-python-sdk-kms"
+version = "2.16.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aliyun-python-sdk-core" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a8/2c/9877d0e6b18ecf246df671ac65a5d1d9fecbf85bdcb5d43efbde0d4662eb/aliyun-python-sdk-kms-2.16.5.tar.gz", hash = "sha256:f328a8a19d83ecbb965ffce0ec1e9930755216d104638cd95ecd362753b813b3", size = 12018, upload-time = "2024-08-30T09:01:20.104Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/11/5c/0132193d7da2c735669a1ed103b142fd63c9455984d48c5a88a1a516efaa/aliyun_python_sdk_kms-2.16.5-py2.py3-none-any.whl", hash = "sha256:24b6cdc4fd161d2942619479c8d050c63ea9cd22b044fe33b60bbb60153786f0", size = 99495, upload-time = "2024-08-30T09:01:18.462Z" },
+]
+
 [[package]]
 name = "anam"
 version = "0.6.0"
@@ -350,6 +381,12 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/69/89/cd08c2fb41f10fc902593579cb81717ce0ce5489fdf9dcb8e04ea9825fb2/anthropic-0.115.0-py3-none-any.whl", hash = "sha256:aa4bbea9272fa1cced6749728f18d0af9d7934b7268779e84d6f5a246f4b998d", size = 960664, upload-time = "2026-06-30T19:47:32.341Z" },
 ]
 
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034, upload-time = "2021-11-06T17:52:23.524Z" }
+
 [[package]]
 name = "anyio"
 version = "4.14.1"
@@ -368,7 +405,7 @@ name = "apache-tvm-ffi"
 version = "0.1.12"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "typing-extensions", marker = "sys_platform == 'win32'" },
+    { name = "typing-extensions" },
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 sdist = { url = "https://files.pythonhosted.org/packages/ff/95/ef83880657e89a0ce0f1ad79cbff11698286d00522dbc290d34a8458e9c2/apache_tvm_ffi-0.1.12.tar.gz", hash = "sha256:2aa5c8ece3144dad11afd6d0f10191d03cdb368bbcd9c92f9fb919f35906223d", size = 2843816, upload-time = "2026-06-09T18:17:31.68Z" }
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     { name = "vision-agents-plugins-xai", marker = "extra == 'xai'", editable = "plugins/xai" },
 ]
-provides-extras = ["anam", "anthropic", "assemblyai", "aws", "cartesia", "decart", "deepgram", "dev", "elevenlabs", "fast-whisper", "fish", "gemini", "getstream", "huggingface", "inworld", "kokoro", "lemonslice", "liveavatar", "local", "minimax", "mistral", "moondream", "nvidia", "openai", "openrouter", "pocket", "qdrant", "qwen", "redis", "roboflow", "sarvam", "smart-turn", "telnyx", "tencent", "turbopuffer", "twelvelabs", "twilio", "ultralytics", "vogent", "wizper", "xai"]
+provides-extras = ["anam", "anthropic", "assemblyai", "aws", "cartesia", "decart", "deepgram", "dev", "elevenlabs", "fast-whisper", "fish", "funasr", "gemini", "getstream", "huggingface", "inworld", "kokoro", "lemonslice", "liveavatar", "local", "minimax", "mistral", "moondream", "nvidia", "openai", "openrouter", "pocket", "qdrant", "qwen", "redis", "roboflow", "sarvam", "smart-turn", "telnyx", "tencent", "turbopuffer", "twelvelabs", "twilio", "ultralytics", "vogent", "wizper", "xai"]
 
 [[package]]
 name = "vision-agents-plugins-anam"
@@ -6875,6 +7209,32 @@ dev = [
     { name = "pytest-asyncio", specifier = ">=1.0.0" },
 ]
 
+[[package]]
+name = "vision-agents-plugins-funasr"
+source = { editable = "plugins/funasr" }
+dependencies = [
+    { name = "funasr" },
+    { name = "vision-agents" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "funasr", specifier = ">=1.1.0" },
+    { name = "vision-agents", editable = "agents-core" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "pytest", specifier = ">=8.4.1" },
+    { name = "pytest-asyncio", specifier = ">=1.0.0" },
+]
+
 [[package]]
 name = "vision-agents-plugins-gemini"
 source = { editable = "plugins/gemini" }