音声
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21.8k スターMIT
ガイドを見る →local-talking-llmは、vndeeが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: vndee/local-talking-llm）。GitHubスターは892、フォークは191で、MIT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4月4日です。
A talking LLM voice assistant that runs fully offline on your computer.
Set it up from the repo.
Choose a local LLM that fits your machine.
Configure speech recognition and synthesis.
Converse entirely offline.
No internet needed after setup.
Speech recognition hears you.
Speech synthesis answers back.
The brain runs on your computer.
Conversations never leave home.
Free to use and adapt.
Download the source and move into the project folder.
git clone https://github.com/vndee/local-talking-llm.git
cd local-talking-llmEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandYes, it is designed to run without internet after setup.
MIT licensed — commercial use allowed.
Enough for a local LLM plus speech models; check the docs.
Depends on the speech models you configure; check the docs.
It runs entirely on your computer with models you choose.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Local-first privacy guard that strips PII before documents reach an LLM.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — local-talking-llm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。
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
カタログの中でlocal-talking-llmとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
One-command installer for a full self-hosted AI stack on your server.
Browse and resume your AI coding-agent sessions on macOS.
Run siliconscope locally: sudoless apple silicon system monitor (native swiftui g.
Early proposal and implementation for connecting LLMs to web pages.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
Local security auditor for AI API relays — catches injection and swaps.