Ross ROSS = Recommend OSS · open-source software intelligence for agents

wwbin2017/bailing

百聆 是一个类似GPT-4o的语音对话机器人,通过ASR+LLM+TTS实现,集成DeepSeek R1等优秀大模型,接入openClaw,真正的个人语音助手,时延低至800ms,Mac等低配置也可运行,支持打断 observed · 2026-08-28

github.com/wwbin2017/bailing · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

54/100

  • Activity 76
  • Release rhythm 28
  • Longevity 52
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 77
  • age_days: 738
  • days_rel: 460
  • days_push: 149
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1757 stars · 306 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Bailing is an open-source voice assistant application similar to GPT-4o, built with an ASR + VAD + LLM + TTS pipeline (FunASR, silero-vad, DeepSeek, edge-tts/Kokoro/ChatTTS). It achieves ~800ms end-to-end latency, runs without a GPU on low-end hardware like Macs, and supports interruptions, memory, tool calling via OpenClaw, and task management.

Use cases

  • build a personal voice assistant like GPT-4o
  • run a low-latency voice chatbot on a Mac without GPU
  • create a speech-to-speech AI assistant with interruption support
  • add voice interaction with tool calling to an LLM
  • self-host an open-source voice assistant with DeepSeek
  • build a JARVIS-style assistant that can execute tasks
  • experiment with ASR + LLM + TTS pipelines

When to choose

  • you want a self-hosted, GPU-free voice assistant with sub-second latency
  • you need a modular ASR/VAD/LLM/TTS stack you can swap components in
  • you want voice-driven tool calling and task management via OpenClaw
  • you're running on low-resource hardware like a Mac

When to avoid

  • you need a production-grade commercial voice assistant with SLAs
  • you want a fully on-device offline solution without API-based LLM/TTS
  • you need multilingual support beyond what the bundled models provide
  • you prefer a managed cloud voice assistant rather than assembling Python components

Facets

application · maturity active

speech-recognition tts llm-inference chatbot agent-framework audio-processing artificial-intelligence large-language-models speech-processing chatbots python cross-platform self-hosted voice-assistant asr vad gpt-4o-like low-latency interruptible openclaw deepseek funasr chattts ai-agents macos

1 source

Member repositories

RepositoryRoleHealth v2
wwbin2017/bailingmain54

For agents

markdown · JSON · MCP: product_card(name="wwbin2017/bailing")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem