Native AI assistant for macOS, built with SwiftUI and llama.cpp. Run local LLMs offline, work with PDFs, and create custom AI assistants. Optional NIKA cloud integration.
說話,不要打字。全本地 macOS 語音聽寫:Whisper large-v3 + Qwen (Ollama),錄音與文字都不離開你的電腦。
On-device Speech AI for Apple Silicon
A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.
Swiftlet is a Swift and Metal runtime that runs large Qwen Mixture-of-Experts models locally on Apple devices by streaming expert weights from storage, enabling 35B and 80B models to run with low RAM, including on iPhone.
Run a 105 GB AI model on a Mac that can't hold it. Slotstream streams Qwen3.8-Flash-Next (125B mixture of experts) from your SSD and caches the busiest experts in memory, so it runs on Macs with 16 to 64 GB. One native Swift binary on MLX and Metal, no Python, offline. Works with Claude Code, Codex and Ollama or OpenAI clients.
ChatGPT的MCP 桥接工具,赋予网页版ChatGPT本地读写能力,并将ChatGPT连接至本机codex、agy、dsh、opencode,作为大脑调用本机agent。Connect ChatGPT to local projects and coding agents via MCP. Run Codex, OpenCode, DeepSeek Harness & Antigravity with approvals, live output and session control.
Swift + Metal MoE inference for Apple Silicon: Qwen 3.6 35B at 23.5–29.3 tok/s decode with 2.20× faster long-prompt prefill on a 24 GB M5; Gemma 4 26B in ~2 GB, DeepSeek-V4-Flash 284B, Inkling-Small 276B, native Mac app, CLI, and OpenAI-compatible server.
Small enough to run on your Mac. Smart enough to ask. An open-source computer use agent for macOS, with local models (MLX) that see, decide and act. 得心,应手。
The local AI app built for the Mac. Run LLMs like Qwen, Gemma and GPT-OSS on Apple Silicon, including models far bigger than your Mac's memory, by streaming MoE experts from the SSD.
Qwen 3.8 27B MLX challenge — placeholder, not yet open.
macOS 实时语音翻译与双语字幕工具,适用于通话、会议和任意 App 的音频,基于通义千问 LiveTranslate · Real-time speech translation & subtitles for macOS
works well with rocks; native Apple Silicon inference engine for capable and tiny models (ternary, Qwen) via MLX Swift. Hadamard-rotated KV cache, vision, tool calling, OpenAI + Anthropic APIs