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收录 AIGC 领域 RAG 的优秀论文。我们在论文 "Retrieval-Augmented Generation for AI-Generated Content: A Survey" 中提出了 RAG 基础、增强与应用分类法。Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
WFGY 正迈向 WFGY 5.0 Polaris Protocol，面向 AI reasoning、RAG、agents 与真实工作流的重要开源版本，包含 Problem Map、Global Debug Card、WFGY 4.0 与 CFV Easter EggWFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
用于构建生产级Agent系统的Go框架，涵盖图工作流、工具、记忆、A2A、AG-UI、MCP、评估与可观测性A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
开源、端到端的 LLM 与 AI agent 应用评估、观测与改进平台。Tracing · Evals · Simulations · Datasets · Gateway · Guardrails。可自托管，Apache 2.0 许可。Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
基于 Rust 🦀 构建的高性能、模块化、内存安全、生产可用的推理、数据接入与索引系统Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
基于 Next.js、LangChain、PostgreSQL + pgvector 构建的 AI 驱动的初创企业加速引擎。可上传、组织并与文档对话。包含预测性缺失文档检测、基于角色的工作流以及页面级洞察提取。AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
高性能且兼容 CommonMark 的 HTML 转 Markdown 转换器。由 Kreuzberg 团队维护。Kreuzberg 是一个以 Rust 为核心的快速多语言文档智能引擎，基于流式解析器与内置 OCR，支持从 98+ 文档格式中抽取结构化数据。High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 98+ document formats using streaming parsers and built-in OCR.
Second Brain 是一个 Agentic 框架，作为操作系统运行，利用本地文件智能、工作流自动化和 LLM 来完成任务，并通过多种模态和消息平台进行通信。Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
Athena 是一个本地优先的 agentic PKM，借助你自己的上下文帮助你做出更优决策——持久记忆、结构化推理，以及跨任意 LLM 工作的受治理 AI agent。拥有状态，租用智能。Athena is a local-first agentic PKM that helps you make better decisions with your own context — persistent memory, structured reasoning, and governed AI agents that work across any LLM. Own the state. Rent the intelligence.
为 Bilibili、YouTube 及本地视频提供 AI 视频摘要和知识库.AI video summarizer and knowledge base for Bilibili, YouTube and local videos.
Caura（前身 MemClaw）——面向 AI Agent 集群的受治理共享内存。多 Agent、多租户、原生 MCP。支持信任分级、keystone 策略、审计日志、知识图谱、自改进检索。Apache 2.0。Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
面向 AI Agent 的上下文工程。token 消耗减少约 80%。解决工具过载问题。内置进程内 BM25 与语义检索的 Skill 与 memory。支持渐进式披露（Progressive Disclosure）。无需向量数据库。Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
生产级 Go SDK，用于构建具备长期记忆、知识检索与语音能力的 AI agent，可作为库、守护进程或实时管道运行。Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.
将本地文件转化为 AI Agent 可检索的上下文。Turn local files into searchable context for AI agents.
Claude Code 的完整 AI 开发工具包。包含 106 个 skill、36 个 agent、171 个 hook。安装 `ork` 获取稳定版（v9.x），或安装 `ork-alpha` 获取每日发布的 v10 版本。The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stable (v9.x), or `ork-alpha` for the v10 line, which ships daily.
DeepSeek Harness (DSH) 插件：在对话中提供实时 iOS Simulator 与 USB 连接的 iPhone。22 个 agent 工具，支持启动、构建、通过可访问性标识/OCR 文本/列表行驱动 UI，并附带可点击和拖拽的流式侧边栏面板。DeepSeek Harness (DSH) plugin: a live iOS Simulator — and a USB-connected iPhone — inside the conversation. 22 agent tools for booting, building, driving the UI by accessibility identity, OCR text or list rows, plus a streaming sidebar panel you can tap and drag on.
AgenticX 是一个统一、生产就绪的多 Agent 平台——Python SDK + CLI (agx) + Studio server + Machi 桌面应用。具备 Meta-Agent 编排、15+ LLM provider、MCP Hub、分层记忆、头像与群聊、Skill 生态、安全沙箱和 IM 网关（飞书/微信）。AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
🔥🔥🔥 企业级 AI 中间件，可替代 unifyapps、n8n、lyzr🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
面向 user-aware Agent 的开源记忆与上下文方案：作用域化记忆、来源追溯、检索质量、纠错、边界、评测，以及 MCP/HTTP 访问能力。Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
跨自有机器的私有智能搜索。系统离线时仍可搜索，包括深藏在 VM 和 archive 中的文件。Private, intelligent search across every machine you own. Systems remain searchable when offline, including files buried inside VMs and archives.
使用 AI 的系统文献综述（SLR）借助人工智能技术，自动加速海量学术文献的审阅与综合过程Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.
AKB — Agent Knowledgebase。AI agent 的组织记忆：以 URI 图统一 vault 范围的文档 / 表格 / 文件，通过 MCP 提供服务。AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.
生产就绪的 FastAPI 平台，模块化组件，内置 control plane。A production-ready FastAPI platform with modular components and a built-in control plane.
检索 Claude Code、Codex、Pi、OpenCode、GitHub Copilot 与 Cursor 的会话记录并恢复会话Search Claude Code, Codex, Pi, OpenCode, Github Copilot & Cursor transcripts & resume sessions
基于定义你所在领域的论文的科研反馈Research feedback grounded in the papers that define your field
一款便捷的 lib，用于流畅地与大语言模型（LLM）交互及构建 AI 应用。A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
面向实验的 GenAI/RAG 优化器与工具包，基于 Oracle Database AI Vector Search 与 NL2SQLGenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL
为大型语言模型（LLM）和 RAG 系统转换并优化你的 markdown 文档，自动生成 llms.txt。Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.
可解释、本地优先的 AI Agent 记忆引擎。约 9 MB 的单一二进制在 VelesQL 下融合向量 + 图 + 列存；why() 返回每次召回背后的证据路径。无云依赖、无胶水代码 —— 支持服务器、浏览器、移动端与桌面端运行。The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.
全栈开源 AI 协作套件与多 Agent 平台，具备 LLM 编排、自动化与虚拟助手能力，可从小规模部署平滑扩展至企业级环境。Complete open-source AI collaboration suite and multi-agent platform featuring LLM orchestration, automation, and virtual assistants. Scales seamlessly from small deployments to large enterprise environments.
开源核心的 AI 工作台——覆盖任何模型的 notebooks、Agent、RAG、语音和图像：OpenAI、Anthropic、Google、xAI，或通过 Ollama/vLLM 的本地模型。BSL 1.1，两年后自动转换为 Apache-2.0。当别人的 AI 停止运行时，你的 AI 仍在运行。The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't.