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liyupi/ai-guide

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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(Cursor / Claude Code / TRAE / Codex / Copilot)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI…

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awesome-agentic-ai-zh

Section: 重要啟發與相關專案 · 偏向廣度資源庫;本 repo 則負責安排學習順序。

FreshScore 80

awesome-ChatGPT-repositories

Section: Langchain · 程序员鱼皮的 AI 知识库,汇总热门的 AI 大模型和工具,比如 Deepseek 使用指南、提示词技巧、知识干货、应用场景、AI 变现、行业资讯、教程资源等一系列内容,帮助你快速掌握 AI 技术,走在时代前沿。涉及大模型 ChatGPT、Claude、Gemini、Deepseek、Deepseek-r1、QWEN、GROK 等;涉及技术 Spring AI、LangChain、RAG、MCP、A2A 等;涉及 Cursor 等工具。本项目为开源文档版本,网站已升级为编程导航 AI 板块

FreshScore 87

Awesome DeepSeek Harness

Section: Related · Chinese Vibe Coding handbook with a dedicated DeepSeek Harness section: getting started, server deployment, agent presets, minimal-mode field test, and curated plugins.

FreshScore 84

Awesome LLM Resources

Section: 教程 Tutorial

FreshScore 87

awesome-javascript

Section: Other · 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(Cursor / Claude Code / TRAE / Codex / Copilot)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI…

FreshScore 79

LangChain

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

In 20 listsDetails

LiteLLM

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…

In 16 listsDetails

LlamaIndex

(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.

In 14 listsDetails

Ollama

Ollama is a tool for running large language models locally, offering easy setup for macOS, Windows, Linux, and Docker, along with a library of models and quickstart guides for customization and integration github | github profile

In 12 listsDetails

Flowise

Flowise simplifies the creation of applications leveraging large language models (LLMs) by providing a drag-and-drop interface for customizing AI workflows, offering easy installation, Docker support, development tools, and documentation for integrating various functionalities such as…

In 12 listsDetails

Open WebUI

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution.

In 11 listsDetails

MarkItDown

Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.

In 9 listsDetails

SGLang

(MPL-2.0) allows specifying JSON schemas using regular expressions or Pydantic models for constrained decoding. Its high-performance runtime accelerates JSON decoding.

In 9 listsDetails