The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

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）、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 技术，走在时代前沿。本项目为开源文档，已升级为鱼皮 AI 导航网站

Private & local AI personal knowledge management app for high entropy people.

🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

Text-To-Speech, RAG, and LLMs. All local!

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

Chat with your documents using local AI

Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.

Open-source engine for chat 💬, AI assistants 🤖 & wallets 🪪. React, Typescript, Python, XMPP. Build future apps with chat, AI agents and web3.

Setup and run a local LLM and Chatbot using consumer grade hardware.

OriginTrail Decentralized Knowledge Graph network node

Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock

An extensible Model Context Protocol (MCP-Local-MRL-RAG-AST) server that provides intelligent semantic code search for AI assistants. Built with local AI models, inspired by Cursor's semantic search.

RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning

AnythingLLM Embed widget submodule for the main AnythingLLM application

QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.

LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering

Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.