Stars
原汁原昧 Claude Code 可运行,可构建, 可调试版; 生产级工程化, 企业级可靠性; 安全无毒, 内存泄露修复
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
💫 Toolkit to help you get started with Spec-Driven Development
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
Easy-to-understand AI learning resources for beginners.
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享 OpenClaw 保姆级教程、大模型玩法(DeepSeek / GPT / Gemini / Claude / GLM)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(Agent Skills / RAG / MCP / A2A)、AI 编程教程(Harness Engineering)、AI 工具用法…
Browser automation CLI for AI agents
No fortress, purely open ground. OpenManus is Coming.
A structured learning repo for retrieval-augmented generation, from foundations to production patterns.
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode
This repository contains a pipeline for fine-tuning Large Language Models (LLMs) for Text-to-SQL conversion using General Reward Proximal Optimization (GRPO).
Agents-flex is A Lightweight Java AI Application Development Framework.
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构…
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书,适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材,我决定将其翻译成中文,并通过 GitHub 进行开源共享。
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Model Context Protocol(MCP) 编程极速入门
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
This repository contains the Hugging Face Agents Course.
《大模型白盒子构建指南》:一个全手搓的Tiny-Universe
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
A book for Learning the Foundations of LLMs
制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.