The database of free AI tools on GitHub

A sophisticated RAG intelligence engine for Singaporean laws, policies, and history. Comes with a triple-AI failover backend (Gemini/Llama/Groq), semantic embeddings using FAISS, and an Apple-inspired

Lightweight text and scans processing: embedding, document processing, OCR, OMR, etc, with inference via ggml in pure C++

The official Pinecone marketplace for Claude Code Plugins

Karpathy-style personal wiki for LLMs - markdown + frontmatter, no vector DB, no RAG. Built for Claude Code, works with any file-editing AI agent.

Local first Second Brain RAG for any Obsidian Vault (works with any Markdown). Works with DuckDB. Also includes a web-app👇.

[IROS'26] Memory Over Maps: 3D Object Localization Without Reconstruction

Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and search via MCP server. Zero cloud, zero cost.

The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP s

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.

Grabs all your Perplexity conversations data, spits it out into a nice file folder structure and allows you to find your old conversations again.

RJ Auto Metadata is a desktop application that uses AI to automatically generate titles, descriptions, and keywords for your media files.

🚀 100% local RAG system with one-command setup. Your data never leaves your server.

Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.

DeepBlue Brain：一个面向 RAG 全链路教学与理解的白盒化交互平台，支持各类文档上传、混合检索、实时检索日志流、提示词原文溯源与流式问答。

FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by up

Discover the equation behind your data — 82/100 Feynman equations, from one dependency-free C header. Plus a real Transformer, embeddings and on-device learning.

NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.

Context retrieval engine for AI agents — semantic + lexical search over codebases

Local Retrieval-Augmented Generation (RAG) plugin for Claude Code that combines Chroma db vector embeddings with intelligent info retrieval with Multi-Agent Framework (MAF) orchestration for context-a

Welcome to the GPT Dungeon Master repository! This project harnesses the power of GPT models to create a dynamic and responsive Dungeon Master (DM) for tabletop role-playing games (RPGs). Whether you'

Recommend health check packages based on user information.

题库 PDF 进 · 随机抽题出 —— 非结构化题库 PDF 的结构化抽取 + 智能刷题系统（规则优先 + LLM 兜底 / 三池加权抽题 / Leitner 间隔重复 / 带引用讲解）