AI Explorer
RAG
检索增强生成框架和工具。
数据来源
类目列表结合 GitHub 搜索规则、仓库 topics、项目描述和同步快照生成。
排行逻辑
项目会先经过类目相关性过滤,再按 stars 和质量信号排序。
适合人群
适合已经明确 AI 工作流或工具类型,希望快速比较候选项目的用户。
101 个项目
Production-ready platform for agentic workflow development.
- Stars
- 146,879
- 增长
- -
- 语言
- TypeScript
- 创建时间
- 2023-04-12
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
- Stars
- 143,353
- 增长
- -
- 语言
- Python
- 创建时间
- 2023-10-06
The agent engineering platform.
- Stars
- 140,415
- 增长
- -
- 语言
- Python
- 创建时间
- 2022-10-17
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
- Stars
- 115,957
- 增长
- -
- 语言
- Python
- 创建时间
- 2024-04-29
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
- Stars
- 84,905
- 增长
- -
- 语言
- JavaScript
- 创建时间
- 2025-08-31
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.
- Stars
- 84,148
- 增长
- -
- 语言
- Python
- 创建时间
- 2020-05-08
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
- Stars
- 83,793
- 增长
- -
- 语言
- Go
- 创建时间
- 2023-12-12
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
- Stars
- 76,052
- 增长
- -
- 语言
- MDX
- 创建时间
- 2022-12-16
12 Lessons to Get Started Building AI Agents
- Stars
- 68,119
- 增长
- -
- 语言
- Jupyter Notebook
- 创建时间
- 2024-11-28
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
- Stars
- 62,421
- 增长
- -
- 语言
- Python
- 创建时间
- 2025-09-07
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
- Stars
- 62,248
- 增长
- -
- 语言
- JavaScript
- 创建时间
- 2023-06-04
Universal memory layer for AI Agents
- Stars
- 59,635
- 增长
- -
- 语言
- Python
- 创建时间
- 2023-06-20
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
- Stars
- 59,198
- 增长
- -
- 语言
- Jupyter Notebook
- 创建时间
- 2023-07-19
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- Stars
- 58,331
- 增长
- -
- 语言
- Rust
- 创建时间
- 2018-04-23
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
- Stars
- 57,437
- 增长
- -
- 语言
- TypeScript
- 创建时间
- 2025-06-02
Build AI Agents, Visually
- Stars
- 54,091
- 增长
- -
- 语言
- TypeScript
- 创建时间
- 2023-03-31
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
- Stars
- 53,134
- 增长
- -
- 语言
- Python
- 创建时间
- 2026-01-07
LlamaIndex is the leading document agent and OCR platform
- Stars
- 50,471
- 增长
- -
- 语言
- Python
- 创建时间
- 2022-11-02
AI 低代码平台「低代码 + 零代码」双驱动!低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,消除 Java 项目 80% 的重复工作,提效而不失灵活。
- Stars
- 46,905
- 增长
- -
- 语言
- Java
- 创建时间
- 2018-11-26
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
- Stars
- 45,319
- 增长
- -
- 语言
- Python
- 创建时间
- 2026-01-07
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
- Stars
- 44,998
- 增长
- -
- 语言
- Go
- 创建时间
- 2019-09-16
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
- Stars
- 39,805
- 增长
- -
- 语言
- TypeScript
- 创建时间
- 2016-04-23
Delegate anything. It comes back done.
- Stars
- 39,349
- 增长
- -
- 语言
- Makefile
- 创建时间
- 2018-08-02
General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).
- Stars
- 39,290
- 增长
- -
- 语言
- Dockerfile
- 创建时间
- 2018-08-02
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
- Stars
- 39,182
- 增长
- -
- 语言
- Python
- 创建时间
- 2023-05-12
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
- Stars
- 38,227
- 增长
- -
- 语言
- Python
- 创建时间
- 2023-03-31
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
- Stars
- 37,112
- 增长
- -
- 语言
- Python
- 创建时间
- 2024-10-02
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
- Stars
- 36,157
- 增长
- -
- 语言
- Jupyter Notebook
- 创建时间
- 2024-10-21
Build resilient agents.
- Stars
- 35,968
- 增长
- -
- 语言
- Python
- 创建时间
- 2023-08-09
Vane is an AI-powered answering engine.
- Stars
- 35,486
- 增长
- -
- 语言
- TypeScript
- 创建时间
- 2024-04-09