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Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

LlamaIndex is the document processing platform for AI

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

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

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

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

A modular graph-based Retrieval-Augmented Generation (RAG) system

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

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.

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

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Retrieval and Retrieval-augmented LLMs

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

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

World's first open-source enterprise world model.

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Postgres with GPUs for ML/AI apps.

Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google

Open-source context retrieval layer for AI agents

Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.

The open source platform for AI-native application development.

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

A blazing fast inference solution for text embeddings models

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

53AI Hub is an open-source AI portal and knowledge base for managing enterprise knowledge, AI agents, prompts, and AI tools, seamlessly integrating with Coze, Dify, FastGPT, RAGFlow. 一个AI知识库与Agent门户

Everything you need to know to build your own RAG application

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

A curated list of Generative AI tools, works, models, and references

[KDD'2026] "VideoRAG: Chat with Your Videos"

Open-source inference server and production cluster for all the models your agent needs.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。