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mcp-use
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
★ 10.7k スターMIT
ガイドを見る →obs-localvocalは、royshilが公開しているオープンソースの音声プロジェクトです（GitHub: royshil/obs-localvocal）。GitHubスターは1,619、フォークは124で、GPL-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月9日です。
Obs-localvocal — obs plugin for local speech recognition and captioning, open-source.
Fetch the source code onto your machine.
Generate build files with CMake.
Build the binaries.
Launch the compiled program.
Built around ai for a focused workflow.
Built around live streaming for a focused workflow.
Built around livestream for a focused workflow.
Built around obs for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/royshil/obs-localvocal.gitConfigure and compile.
cd obs-localvocal && cmake -B build && cmake --build buildRun the program.
cd obs-localvocal && ./build/obs-localvocalIt oBS plugin for local speech recognition and captioning using AI, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in C++, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Create LoRA training datasets in the browser — Flux 2, Qwen, Nano Banana
Terminal client for Suno v5.5 — tags, vocal control, and full generation flags.
Instant, ultra-realistic text-to-speech from a simple local app.
A complete open-source speech recognition toolkit - ASR, VAD, diarization and serving
Fast and local neural text-to-speech engine
LibreAIカタログに掲載された音声プロジェクトの中で最もスターの多いもの — obs-localvocalが合わなかった場合に検討したい、現実的な候補リストです。
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
カタログの中でobs-localvocalとスター数が近い音声プロジェクト — 前後の棚もそのまま見て回れます。
Turn books and documents into natural speech with the Kokoro TTS model.
Instant, ultra-realistic text-to-speech from a simple local app.
Fast local speech-to-text across 16+ model families, powered by ggml.
Open-source AI dictation that types 3x faster, fully offline.
WaveRNN vocoder plus Tacotron TTS in PyTorch: train your own neural speech synthesis on LJSpeech.
Local-first meeting notes your AI coding agents can query over MCP.