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2026-11-11 · #rag · 54 个仓库 · 按 star 排序repos · by stars

1
Python★ 145,991⑂ 13,983👁 418● 2,237⑃ 2,771▤ 252
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
★ 145,991
2
Python★ 144,420⑂ 21,245👁 1,308● 194⑃ 926▤ 0
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
★ 144,420
3
Go★ 94,032⑂ 11,304👁 361● 8,092⑃ 13,306▤ 60
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
★ 94,032
4
MDX★ 79,986⑂ 8,778👁 752● 263⑃ 529▤ 0
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
★ 79,986
5
Python★ 79,354⑂ 6,208👁 212● 1,349⑃ 3,279▤ 178
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
★ 79,354
6
Python★ 79,354⑂ 6,208👁 212● 1,349⑃ 3,279▤ 178
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
★ 79,354
7
Python★ 68,811⑂ 8,186👁 253● 2,371⑃ 5,162▤ 416
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
★ 68,811
8
JavaScript★ 68,181⑂ 7,700👁 409● 4,192⑃ 2,651▤ 39
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
★ 68,181
9
Python★ 58,711⑂ 1,549👁 89● 21⑃ 75▤ 1
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
★ 58,711
10
Python★ 58,236⑂ 7,079👁 236● 910⑃ 1,656▤ 90
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
★ 58,236
11
Python★ 57,764⑂ 6,698👁 212● 240⑃ 959▤ 1
《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
★ 57,764
12
TypeScript★ 55,567⑂ 25,094👁 387● 2,672⑃ 2,770▤ 85
Build AI Agents, Visually
★ 55,567
13
Python★ 52,875⑂ 8,540👁 285● 7,507⑃ 11,012▤ 434
LlamaIndex is the document processing platform for AI
★ 52,875
14
Jupyter Notebook★ 41,759⑂ 6,672👁 490● 54⑃ 214▤ 0
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
★ 41,759
15
Python★ 40,659⑂ 5,773👁 286● 1,678⑃ 2,514▤ 83
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
★ 40,659
16
Python★ 40,365⑂ 3,475👁 152● 153⑃ 488▤ 32
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
★ 40,365
17
TypeScript★ 38,164⑂ 4,284👁 210● 690⑃ 402▤ 34
Vane is an AI-powered answering engine.
★ 38,164
18
Python★ 38,108⑂ 2,544👁 179● 618⑃ 678▤ 173
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.
★ 38,108
19
Python★ 37,595⑂ 3,982👁 150● 79⑃ 255▤ 5
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
★ 37,595
20
Go★ 37,193⑂ 5,144👁 150● 1,739⑃ 3,611▤ 42
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
★ 37,193
21
Python★ 36,630⑂ 3,879👁 205● 872⑃ 1,369▤ 44
A modular graph-based Retrieval-Augmented Generation (RAG) system
★ 36,630
22
Jupyter Notebook★ 34,873⑂ 3,296👁 99● 137⑃ 91▤ 3
📚 从零开始构建大模型
★ 34,873
23
Jupyter Notebook★ 30,317⑂ 3,704👁 253● 72⑃ 137▤ 2
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
★ 30,317
24
Java★ 30,277⑂ 2,901👁 100● 246⑃ 661▤ 83
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
★ 30,277
25
TypeScript★ 27,096⑂ 2,049👁 226● 24⑃ 70▤ 0
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?
★ 27,096
26
Python★ 26,990⑂ 3,445👁 165● 4,666⑃ 7,867▤ 256
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.
★ 26,990
27
Python★ 23,804⑂ 2,550👁 4● 515⑃ 337▤ 78
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
★ 23,804
28
JavaScript★ 22,017⑂ 2,396👁 144● 34⑃ 44▤ 0
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 技术,走在时代前沿。本项目为开源文档 aiguide,已升级为鱼皮 AI 导航网站
★ 22,017
29
TypeScript★ 19,847⑂ 5,897👁 143● 8,516⑃ 28,140▤ 17
Open source agentic operating system
★ 19,847
30
Python★ 18,373⑂ 2,255👁 96● 701⑃ 2,549▤ 28
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.
★ 18,373
31
Python★ 18,143⑂ 2,091👁 102● 611⑃ 2,130▤ 221
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.
★ 18,143
32
Python★ 17,554⑂ 3,966👁 75● 119⑃ 491▤ 38
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
★ 17,554
33
Rust★ 17,489⑂ 1,482👁 71● 283⑃ 278▤ 0
A vector index built on TurboQuant, written in Rust with Python bindings
★ 17,489
34
Rust★ 17,394⑂ 1,468👁 124● 104⑃ 98▤ 12
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.
★ 17,394
35
Python★ 16,842⑂ 1,607👁 86● 601⑃ 1,709▤ 46
Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord: https://discord.gg/ejRNvftDp9
★ 16,842
36
C++★ 16,226⑂ 1,022👁 69● 200⑃ 665▤ 16
A lightweight, lightning-fast, in-process vector database
★ 16,226
37
Jupyter Notebook★ 14,291⑂ 1,446👁 74● 86⑃ 149▤ 1
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
★ 14,291
38
Python★ 9,583⑂ 954👁 61● 385⑃ 913▤ 169
High accuracy RAG for answering questions from scientific documents with citations
★ 9,583
39
Rust★ 9,576⑂ 614👁 32● 1,507⑃ 1,435▤ 98
The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.
★ 9,576
40
★ 9,080⑂ 1,055👁 79● 29⑃ 242▤ 0
🧑‍🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
★ 9,080
41
Python★ 5,948⑂ 821👁 31● 82⑃ 13▤ 0
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
★ 5,948
42
Java★ 5,829⑂ 1,433👁 44● 155⑃ 182▤ 8
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
★ 5,829
43
TypeScript★ 5,809⑂ 427👁 46● 48⑃ 267▤ 40
A visual playground for agentic workflows: Iterate over your agents 10x faster
★ 5,809
44
Python★ 5,795⑂ 696👁 33● 171⑃ 932▤ 23
Context Graph for AI Native SDLC
★ 5,795
45
Python★ 5,794⑂ 629👁 34● 41⑃ 755▤ 29
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).
★ 5,794
46
PLpgSQL★ 5,793⑂ 318👁 39● 109⑃ 818▤ 43
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
★ 5,793
47
Go★ 5,744⑂ 671👁 47● 761⑃ 1,654▤ 1,000
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
★ 5,744
48
TypeScript★ 5,581⑂ 373👁 62● 100⑃ 51▤ 3
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
★ 5,581
49
Python★ 5,547⑂ 414👁 22● 193⑃ 182▤ 9
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
★ 5,547
50
Ruby★ 4,503⑂ 533👁 28● 522⑃ 1,002▤ 47
The Ruby AI framework.
★ 4,503
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