Hert4/crab-agent-extension
Crab-Agent is an LLM-powered Chrome extension that automates browser tasks using natural language commands. Inspired by Claude for Chrome
Just doing my work
Crab-Agent is an LLM-powered Chrome extension that automates browser tasks using natural language commands. Inspired by Claude for Chrome
A local-first terminal pet companion that remembers you.
Ghi chép kỹ thuật về hạ tầng suy luận AI: phục vụ mô hình, huấn luyện, lượng tử hoá, đánh giá
A high-performance, universal serving framework for any-to-any models.
Agentic benchmark for MISA's AVA assistant, AutomationBench-style stateful world. Public 27-task set; leaderboard over the full 100.
Omni talker training test
Discord server https://discord.gg/HrV52MgSC2
Harness-agnostic framework for evolving agent skills from real trajectories. Implementation of Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills ([arXiv:2603.25158](https://arxiv.org/abs/2603.25158)).
AutomationBench 600 (Zapier, public set) results for open-weight models: Qwen3.6-27B base, beyoru/Opera, gemma-4-31B-it, beyoru/Ops-I. Per-task and per-assertion data + serving runbook.
A framework for efficient model inference with omni-modality models
bluetooth mesh chat, IRC vibes
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a high-performance serving framework for large language models and multimodal models.
MLX port of Confucius4-TTS for fast on-device multilingual speech synthesis.
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Using codex-pet in claude code that all
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Just run indeogram image generation model in different enviroment
Backend-agnostic black-box hallucination & RAG-faithfulness detection for LLMs — Probabilistic Certainty & Consistency (arXiv:2601.02574). Works on MLX / OpenAI / vLLM via token logprobs; no model internals, no training.
Cute pixel-art desktop pet for Windows. Climbs your app windows Shimeji-style, eats files into the Recycle Bin, and reacts to Claude Code sessions via a bundled plugin.
应用于浏览器环境且开箱即用的Live2D组件, 它支持所有版本的Live2D模型, 使用方式足够简单并且高可自定义, 可以快速为您的个人网站添加Live2D看板娘, 使您的个人网站变得更具有特色.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A TTS that fits in your CPU (and pocket)