Open-source repositories gaining traction right now.
53 repositories
#rag
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

A vector index built on TurboQuant, written in Rust with Python bindings

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

Perplexica is an AI-powered answering engine.

Open Source AI Platform - AI Chat with advanced features that works with every LLM

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Sponsor Star NirDiamant / RAG_Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

A lightweight, lightning-fast, in-process vector database

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享大模型选择指南(DeepSeek / GPT / Gemini / Claude)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(RAG / MCP / A2A)、AI 编程教程、AI 工具用法(Cursor / Claude Code / OpenClaw / TRAE / Lovable / Agent Skills)、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。本项目为开源文档版本,已升级为鱼皮 AI 导航网站

Incremental engine for long horizon agents 🌟 Star if you like it!

Build AI Agents, Visually

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.

Sponsor Star Mintplex-Labs / anything-llm The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

One brain for all your agents

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Star getzep / graphiti Build Real-Time Knowledge Graphs for AI Agents

Suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.

Star Cinnamon / kotaemon An open-source RAG-based tool for chatting with your documents.

Star Future-House / paper-qa High accuracy RAG for answering questions from scientific documents with citations

Star memvid / memvid Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Star open-webui / open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Star OpenBMB / UltraRAG A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).

Total conversion for Claude Code. Use RAG and the RPG ruleset apis to play a persistent adventure in any book or world of your choosing.

“接入大模型的AI-agent 互联网后端面试助手,支持在线 ACM模式IDE 与多平台面经整合,支持定制化个人面经库(RAG)与简历/面试复盘”

AI agent framework for Java — skill-based architecture with MCP support, tool calling, RAG, and Telegram integration. Built on Spring Boot and LangChain4j

A Python library for storing and querying n-ary relationships with provenance tracking. SQLite-backed, zero configuration.

Recursive reasoning engine for AI agents and vector databases. Powered by MIT's RLM.

End-to-end RAG pipeline with built-in evaluation metrics

Reranking and result fusion for search and RAG pipelines

Document chunking pipeline for RAG applications
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