From 7bd06a1f060c6af9ff74b3dfdce67bf74a5c2edd Mon Sep 17 00:00:00 2001 From: wehub-resource-sync Date: Mon, 13 Jul 2026 10:46:05 +0000 Subject: [PATCH] docs: make Chinese README the default --- README.md | 384 +++++++++++++++++++++++++++--------------------------- 1 file changed, 195 insertions(+), 189 deletions(-) diff --git a/README.md b/README.md index 3d22b38..8f7e94b 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,9 @@ + +> [!NOTE] +> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。 +> [English](./README.en.md) · [原始项目](https://github.com/Arindam200/awesome-ai-apps) · [上游 README](https://github.com/Arindam200/awesome-ai-apps/blob/HEAD/README.md) +> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。 + ![Banner](/assets/banner_new.png)
@@ -8,37 +14,37 @@
-This repository is a comprehensive collection of **80+ practical examples, tutorials, and recipes** for building powerful LLM-powered applications — including text agents, voice assistants, RAG apps, and MCP-backed tools. These projects serve as a guide for developers working with various AI frameworks and stacks. +本仓库汇集了 **80+ 个实用示例、教程与配方（recipes）**，用于构建强大的 LLM 驱动应用——包括文本智能体、语音助手、RAG（检索增强生成）应用，以及基于 MCP 的工具。这些项目为使用各类 AI 框架与技术栈的开发者提供指引。 -## 📋 Table of Contents +## 📋 目录 -- [🎓 Courses](#-courses) -- [🚀 Featured AI Apps](#-featured-ai-apps) - - [🧩 Starter Agents](#-starter-agents) - - [🪶 Simple Agents](#-simple-agents) - - [🎙️ Voice Agents](#-voice-agents) - - [🗂️ MCP Agents](#️-mcp-agents) - - [🧠 Memory Agents](#-memory-agents) - - [📚 RAG Applications](#-rag-applications) - - [🔬 Advanced Agents](#-advanced-agents) -- [📺 Tutorials & Videos](#-tutorials--videos) -- [🚀 Getting Started](#getting-started) -- [🤝 Contributing](#-contributing) +- [🎓 课程](#-courses) +- [🚀 精选 AI 应用](#-featured-ai-apps) + - [🧩 入门智能体](#-starter-agents) + - [🪶 简易智能体](#-simple-agents) + - [🎙️ 语音智能体](#-voice-agents) + - [🗂️ MCP 智能体](#️-mcp-agents) + - [🧠 记忆智能体](#-memory-agents) + - [📚 RAG 应用](#-rag-applications) + - [🔬 高级智能体](#-advanced-agents) +- [📺 教程与视频](#-tutorials--videos) +- [🚀 快速开始](#getting-started) +- [🤝 参与贡献](#-contributing) ---
-## 💎 Sponsors +## 💎 赞助商

- A huge thank you to our sponsors for their generous support! + 衷心感谢各位赞助商的慷慨支持！

@@ -164,10 +170,10 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
- + Bright Data - Web Data Platform
@@ -46,40 +52,40 @@ This repository is a comprehensive collection of **80+ practical examples, tutor Web Data Platform
- Visit Bright Data website + 访问 Bright Data 网站 		- + Nebius Token Factory
- AI Inference Provider + AI 推理服务提供商
- Visit Nebius Token Factory + 访问 Nebius Token Factory 		- + ScrapeGraphAI - Web Scraping Library
- AI Web Scraping framework + AI 网页抓取框架
- View ScrapeGraphAI on GitHub + 在 GitHub 上查看 ScrapeGraphAI
- + Memori - SQL Native Memory for AI
@@ -87,25 +93,25 @@ This repository is a comprehensive collection of **80+ practical examples, tutor SQL Native Memory for AI
- Visit Memorilabs website + 访问 Memorilabs 网站 		- + CopilotKit - Agentic Application Platform
- Agentic Application Platform + 智能体应用平台
- Visit CopilotKit website + 访问 CopilotKit 网站 		- + ScaleKit - Auth Stack for AI
@@ -113,27 +119,27 @@ This repository is a comprehensive collection of **80+ practical examples, tutor Auth Stack for AI
- Visit ScaleKit website + 访问 ScaleKit 网站
- + Okahu - AI Platform
- AI Observability Platform + AI 可观测性平台
- Visit Okahu website + 访问 Okahu 网站 		- + SerpApi - Google Search API
@@ -141,12 +147,12 @@ This repository is a comprehensive collection of **80+ practical examples, tutor Google Search API
- Visit SerpApi website + 访问 SerpApi 网站 		- + AgentField - Kubernetes for AI Agents
@@ -154,7 +160,7 @@ This repository is a comprehensive collection of **80+ practical examples, tutor Kubernetes for AI Agents
- Visit AgentField website + 访问 AgentField 网站
-### 💎 Become a Sponsor +### 💎 成为赞助商

-Interested in sponsoring this project? Feel free to reach out! +有兴趣赞助本项目？欢迎与我们联系！
LinkedIn @@ -181,183 +187,183 @@ Interested in sponsoring this project? Feel free to reach out! --- -## 🎓 Courses +## 🎓 课程 -### AWS Strands Course for Beginners +### 面向初学者的 AWS Strands 课程 -**Comprehensive hands-on course on building AI agents with AWS Strands SDK:** +**全面动手课程，讲解如何使用 AWS Strands SDK 构建 AI 智能体：** -- [**AWS Strands Course**](course/aws_strands) - Complete 8-lesson course covering agent fundamentals to production patterns - - **Foundation**: Basic agents, session management, structured output - - **Integration**: MCP agents, human-in-the-loop patterns - - **Multi-Agent**: Orchestrator agents, swarm intelligence, graph workflows - - **Production**: Observability, safety guardrails, and best practices +- [**AWS Strands 课程**](course/aws_strands) - 完整 8 课时课程，涵盖从智能体基础到生产级模式 + - **基础**：基础智能体、会话管理、结构化输出 + - **集成**：MCP 智能体、人在回路（human-in-the-loop）模式 + - **多智能体**：编排智能体、群体智能、图工作流 + - **生产**：可观测性、安全护栏与最佳实践 -## 🚀 Featured AI Apps +## 🚀 精选 AI 应用 -### 🧩 Starter Agents +### 🧩 入门智能体 -**Quick-start agents for learning and extending different AI frameworks.** _20 projects_ +**用于学习并扩展不同 AI 框架的快速入门智能体。** _20 个项目_ -- [Agno HackerNews Analysis](starter_ai_agents/agno_starter) - Agno-based agent for trend analysis on HackerNews -- [OpenAI SDK Starter](starter_ai_agents/openai_agents_sdk) - OpenAI Agents SDK with email helper & haiku writer examples -- [LlamaIndex Task Manager](starter_ai_agents/llamaindex_starter) - LlamaIndex-powered task assistant -- [CrewAI Research Crew](starter_ai_agents/crewai_starter) - Multi-agent research team example -- [Letta Starter](starter_ai_agents/letta_starter) - Stateful agent with persistent long-term memory across sessions -- [Microsoft Agent Framework Starter](starter_ai_agents/microsoft_agents_starter) - Multi-agent travel planning demos built on Microsoft Agent Framework -- [PydanticAI Weather Bot](starter_ai_agents/pydantic_starter) - Real-time weather information agent -- [LangChain Starter](starter_ai_agents/langchain_starter) - LangChain tool-calling agent with `create_tool_calling_agent` + `AgentExecutor`, powered by Nebius -- [LangGraph Starter](starter_ai_agents/langgraph_starter) - LangGraph prebuilt ReAct agent (`create_react_agent`) with custom tools, powered by Nebius -- [AWS Strands Agent Starter](starter_ai_agents/aws_strands_starter) - Weather report agent using AWS Strands SDK -- [Mastra Starter](starter_ai_agents/mastra_starter) - TypeScript-first agent with a custom tool powered by Nebius Token Factory -- [Camel AI Starter](starter_ai_agents/camel_ai_starter) - Performance benchmarking tool comparing various AI models -- [DSPy Starter](starter_ai_agents/dspy_starter) - DSPy framework for building and optimizing AI systems -- [Google ADK Starter](starter_ai_agents/google_adk_starter) - Google Agent Development Kit starter template -- [Semantic Kernel Starter](starter_ai_agents/semantic_kernel_starter) - Microsoft Semantic Kernel `ChatCompletionAgent` with plugin-based tool calling -- [smolagents Starter](starter_ai_agents/smolagents_starter) - Hugging Face smolagents code-first web-search agent -- [AutoGen Starter](starter_ai_agents/autogen_starter) - Microsoft AutoGen `AssistantAgent` with a custom tool, powered by Nebius Token Factory -- [cagent Starter](starter_ai_agents/cagent_starter) - Open-source customizable multi-agent runtime by Docker -- [Sayna Voice Agent](starter_ai_agents/sayna_starter) - Real-time voice infrastructure with multi-provider STT/TTS (Deepgram, ElevenLabs, Azure, Google) and WebSocket streaming -- [KAOS Starter](starter_ai_agents/kaos_starter) - Kubernetes-native multi-agent system with MCP tools and in-cluster LLM +- [Agno HackerNews Analysis](starter_ai_agents/agno_starter) - 基于 Agno 的 HackerNews 趋势分析智能体 +- [OpenAI SDK Starter](starter_ai_agents/openai_agents_sdk) - OpenAI Agents SDK，含邮件助手与俳句写作示例 +- [LlamaIndex Task Manager](starter_ai_agents/llamaindex_starter) - 由 LlamaIndex 驱动的任务助手 +- [CrewAI Research Crew](starter_ai_agents/crewai_starter) - 多智能体研究团队示例 +- [Letta Starter](starter_ai_agents/letta_starter) - 具备跨会话持久长期记忆的有状态智能体 +- [Microsoft Agent Framework Starter](starter_ai_agents/microsoft_agents_starter) - 基于 Microsoft Agent Framework 的多智能体旅行规划演示 +- [PydanticAI Weather Bot](starter_ai_agents/pydantic_starter) - 实时天气信息智能体 +- [LangChain Starter](starter_ai_agents/langchain_starter) - LangChain 工具调用智能体，含 `create_tool_calling_agent` + `AgentExecutor`，由 Nebius 驱动 +- [LangGraph Starter](starter_ai_agents/langgraph_starter) - LangGraph 预构建 ReAct 智能体（`create_react_agent`），含自定义工具，由 Nebius 驱动 +- [AWS Strands Agent Starter](starter_ai_agents/aws_strands_starter) - 使用 AWS Strands SDK 的天气报告智能体 +- [Mastra Starter](starter_ai_agents/mastra_starter) - TypeScript 优先的智能体，含由 Nebius Token Factory 驱动的自定义工具 +- [Camel AI Starter](starter_ai_agents/camel_ai_starter) - 对比多种 AI 模型的性能基准测试工具 +- [DSPy Starter](starter_ai_agents/dspy_starter) - 用于构建与优化 AI 系统的 DSPy 框架 +- [Google ADK Starter](starter_ai_agents/google_adk_starter) - Google Agent Development Kit 入门模板 +- [Semantic Kernel Starter](starter_ai_agents/semantic_kernel_starter) - Microsoft Semantic Kernel `ChatCompletionAgent`，支持基于插件的工具调用 +- [smolagents Starter](starter_ai_agents/smolagents_starter) - Hugging Face smolagents 代码优先的网页搜索智能体 +- [AutoGen Starter](starter_ai_agents/autogen_starter) - Microsoft AutoGen `AssistantAgent`，含自定义工具，由 Nebius Token Factory 驱动 +- [cagent Starter](starter_ai_agents/cagent_starter) - Docker 开源、可定制的多智能体运行时 +- [Sayna Voice Agent](starter_ai_agents/sayna_starter) - 实时语音基础设施，支持多提供商 STT/TTS（Deepgram、ElevenLabs、Azure、Google）及 WebSocket 流式传输 +- [KAOS Starter](starter_ai_agents/kaos_starter) - 原生 Kubernetes 多智能体系统，含 MCP 工具与集群内 LLM ### 🪶 Simple Agents -**Straightforward, practical use-cases for everyday AI applications.** _19 projects_ +**简单直接、实用的日常 AI 应用场景。** _19 个项目_ -- [Agno AI Examples](simple_ai_agents/agno_ai_examples) - Simple to multi-agent examples with web search & knowledge base -- [Finance Agent](simple_ai_agents/finance_agent) - Real-time stock & market data tracking agent -- [Human-in-the-Loop Agent](simple_ai_agents/human_in_the_loop_agent) - HITL actions for safe AI task execution -- [Newsletter Generator](simple_ai_agents/newsletter_agent) - AI-powered newsletter builder with Firecrawl integration -- [Reasoning Agent](simple_ai_agents/reasoning_agent) - Step-by-step financial reasoning demonstration -- [Agno UI Example](simple_ai_agents/agno_ui_agent) - Interactive UI for web & finance agents -- [Mastra Weather Bot](simple_ai_agents/mastra_ai_weather_agent) - Weather updates using Mastra AI framework -- [Calendar Assistant](simple_ai_agents/cal_scheduling_agent) - Calendar scheduling integration with Cal.com -- [Smart Scheduler Assistant](simple_ai_agents/email_to_calendar_scheduler) - AI-powered Gmail reader and Google Calendar manager -- [Web Automation Agent](simple_ai_agents/browser_agent) - Browser automation agent using Nebius & browser-use -- [Nebius Chat](simple_ai_agents/nebius_chat) - Chat interface for Nebius Token Factory -- [RouteLLM Chat](simple_ai_agents/llm_router) - Intelligent model routing with RouteLLM (GPT-4o-mini vs Nebius Llama) for cost optimization -- [Talk to Your DB](simple_ai_agents/talk_to_db) - Natural language database queries with GibsonAI & LangChain -- [LangChain Simple Agents](simple_ai_agents/langchain_simple_agents) - Nebius-powered incident response, support, vendor risk, and data quality agents with typed outputs and guarded tools -- [Agent Discovery Agent](simple_ai_agents/agent_discovery_agent) - Find and compare AI agents across NANDA, MCP, Virtuals, A2A, and ERC-8004 registries -- [LangChain Data Agent PoC](simple_ai_agents/langchain_data_agent_poc) - Natural-language-to-SQL data agent with LangGraph, Nebius, read-only SQL safety, and Streamlit charts -- [VoyageCompass Travel Planner](simple_ai_agents/nebius_travel_planner) - LangChain and Nebius travel planner with weather, research, currency conversion, budgets, and packing tools +- [Agno AI Examples](simple_ai_agents/agno_ai_examples) - 从简单到多智能体的示例，含网页搜索与知识库 +- [Finance Agent](simple_ai_agents/finance_agent) - 实时股票与市场数据追踪智能体 +- [Human-in-the-Loop Agent](simple_ai_agents/human_in_the_loop_agent) - 人机协同（HITL）操作，保障 AI 任务安全执行 +- [Newsletter Generator](simple_ai_agents/newsletter_agent) - AI 驱动的简报生成器，集成 Firecrawl +- [Reasoning Agent](simple_ai_agents/reasoning_agent) - 分步金融推理演示 +- [Agno UI Example](simple_ai_agents/agno_ui_agent) - 网页与金融智能体的交互式 UI +- [Mastra Weather Bot](simple_ai_agents/mastra_ai_weather_agent) - 使用 Mastra AI 框架的天气更新 +- [Calendar Assistant](simple_ai_agents/cal_scheduling_agent) - 与 Cal.com 集成的日历日程安排 +- [Smart Scheduler Assistant](simple_ai_agents/email_to_calendar_scheduler) - AI 驱动的 Gmail 阅读器与 Google Calendar 管理器 +- [Web Automation Agent](simple_ai_agents/browser_agent) - 使用 Nebius 与 browser-use 的浏览器自动化智能体 +- [Nebius Chat](simple_ai_agents/nebius_chat) - Nebius Token Factory 的聊天界面 +- [RouteLLM Chat](simple_ai_agents/llm_router) - 使用 RouteLLM 的智能模型路由（GPT-4o-mini 对比 Nebius Llama），用于成本优化 +- [Talk to Your DB](simple_ai_agents/talk_to_db) - 使用 GibsonAI 与 LangChain 的自然语言数据库查询 +- [LangChain Simple Agents](simple_ai_agents/langchain_simple_agents) - 由 Nebius 驱动的事件响应、支持、供应商风险与数据质量智能体，含类型化输出与受控工具 +- [Agent Discovery Agent](simple_ai_agents/agent_discovery_agent) - 在 NANDA、MCP、Virtuals、A2A 与 ERC-8004 注册表中查找并对比 AI 智能体 +- [LangChain Data Agent PoC](simple_ai_agents/langchain_data_agent_poc) - 自然语言转 SQL 数据智能体，基于 LangGraph、Nebius，只读 SQL 安全机制，以及 Streamlit 图表 +- [VoyageCompass Travel Planner](simple_ai_agents/nebius_travel_planner) - 基于 LangChain 与 Nebius 的旅行规划器，含天气、调研、货币换算、预算与行李清单工具 ### 🎙️ Voice Agents -**Real-time voice assistants and streaming speech pipelines.** _8 projects_ +**实时语音助手与流式语音处理流水线。** _8 个项目_ -- [Gradium + Nebius Voice Coach](voice_agents/voice-agent-gradium-nebius-langchain) - Conversational pitch coach using Gradium STT/TTS, LangChain orchestration, and Nebius reasoning -- [Healthcare Voice Contact Center](voice_agents/healthcare_contact_center) - Pipecat healthcare contact center with appointment booking, FAQ handling, and supervisor escalation -- [LiveKit + Gemini Realtime](voice_agents/livekit_gemini_agents) - LiveKit Agents with Google Gemini Live (`gemini` multimodal realtime) for low-latency voice conversations in a LiveKit room -- [LiveKit Voice Agent with Web Search](voice_agents/livekit_web_search_agent) - LiveKit + Gemini realtime voice agent with an Olostep-backed `web_search` tool for fresh, source-cited answers -- [LiveKit RSVP Confirmation Agent](voice_agents/livekit_rsvp_agent) - Outbound voice agent that calls attendees, confirms RSVPs, and updates a JSON-backed event database -- [Pipecat + Sarvam](voice_agents/pipecat_agent) - Pipecat voice pipeline with Sarvam STT/TTS and OpenAI for chat; WebRTC (browser) or Daily transport via the Pipecat runner -- [Speed-to-Lead Voice Agent](voice_agents/speed_to_lead_agent) - LiveKit-based voice agent that calls inbound leads instantly, routes them to specialists, and logs to a mock CRM -- [VoxCode (Cursor Code Editor)](voice_agents/Cursor_code_editor) - Local voice workspace for codebase summaries and architecture Q&A; Deepgram Voice Agent + Nebius reasoning + Cursor SDK file inspection/edits +- [Gradium + Nebius Voice Coach](voice_agents/voice-agent-gradium-nebius-langchain) - 对话式路演教练，使用 Gradium STT/TTS、LangChain 编排与 Nebius 推理 +- [Healthcare Voice Contact Center](voice_agents/healthcare_contact_center) - Pipecat 医疗呼叫中心，支持预约、FAQ 处理与主管升级 +- [LiveKit + Gemini Realtime](voice_agents/livekit_gemini_agents) - LiveKit Agents 配合 Google Gemini Live（`gemini` 多模态实时），在 LiveKit 房间中实现低延迟语音对话 +- [LiveKit Voice Agent with Web Search](voice_agents/livekit_web_search_agent) - LiveKit + Gemini 实时语音智能体，含基于 Olostep 的 `web_search` 工具，提供新鲜、附来源的回答 +- [LiveKit RSVP Confirmation Agent](voice_agents/livekit_rsvp_agent) - 外呼语音智能体，致电参会者确认 RSVP，并更新 JSON 支持的活动数据库 +- [Pipecat + Sarvam](voice_agents/pipecat_agent) - Pipecat 语音流水线，使用 Sarvam STT/TTS 与 OpenAI 聊天；通过 Pipecat runner 支持 WebRTC（浏览器）或 Daily 传输 +- [Speed-to-Lead Voice Agent](voice_agents/speed_to_lead_agent) - 基于 LiveKit 的语音智能体，即时拨打入站线索电话、路由至专家并记录到模拟 CRM +- [VoxCode (Cursor Code Editor)](voice_agents/Cursor_code_editor) - 本地语音工作区，用于代码库摘要与架构问答；Deepgram Voice Agent + Nebius 推理 + Cursor SDK 文件检查/编辑 ### 🗂️ MCP Agents -**Examples using Model Context Protocol for external tool integration.** _13 projects_ +**使用 Model Context Protocol（MCP）进行外部工具集成的示例。** _13 个项目_ -- [Doc-MCP](mcp_ai_agents/doc_mcp) - Semantic RAG documentation & Q&A system -- [LangGraph MCP Agent](mcp_ai_agents/langchain_langgraph_mcp_agent) - LangChain ReAct agent with Couchbase integration -- [GitHub MCP Agent](mcp_ai_agents/github_mcp_agent) - Repository insights and analysis via MCP -- [MCP Starter](mcp_ai_agents/mcp_starter) - GitHub repository analyzer starter template -- [Talk to your Docs](mcp_ai_agents/docs_qna_agent) - Documentation Q&A agent with MCP -- [Database MCP Agent](mcp_ai_agents/database_mcp_agent) - Conversational AI agent for managing GibsonAI database projects and schemas -- [Hotel Finder Agent](mcp_ai_agents/hotel_finder_agent) - Hotel search and booking using MCP integration -- [Custom MCP Server](mcp_ai_agents/custom_mcp_server) - Custom MCP server implementation example -- [Couchbase MCP Server](mcp_ai_agents/couchbase_mcp_server) - Couchbase database integration with MCP protocol -- [ScaleKit Exa MCP Security](mcp_ai_agents/scalekit-exa-mcp-security) - Security-focused MCP integration with Exa search -- [Docker E2B MCP Agent](mcp_ai_agents/e2b_docker_mcp_agent) - Secure AI agent for running agents in sandboxed Docker environments via MCP Gateway -- [Taskade MCP Agent](mcp_ai_agents/taskade_mcp_agent) - AI-powered workspace agent for managing projects, tasks, and workflows via Taskade MCP -- [Telemetry MCP Okahu](mcp_ai_agents/telemetry-mcp-okahu) - Self-healing Text-to-SQL demo using Okahu Cloud traces via hosted MCP -- [MCP Toolbox Security Agent](mcp_ai_agents/mcp_toolbox_security_agent) - Secure ecommerce agent over PostgreSQL + MongoDB; MCP Toolbox enforces per-user data access, least-privilege roles, and authorized tools +- [Doc-MCP](mcp_ai_agents/doc_mcp) - 语义 RAG 文档与问答系统 +- [LangGraph MCP Agent](mcp_ai_agents/langchain_langgraph_mcp_agent) - LangChain ReAct 智能体，集成 Couchbase +- [GitHub MCP Agent](mcp_ai_agents/github_mcp_agent) - 通过 MCP 获取仓库洞察与分析 +- [MCP Starter](mcp_ai_agents/mcp_starter) - GitHub 仓库分析入门模板 +- [Talk to your Docs](mcp_ai_agents/docs_qna_agent) - 基于 MCP 的文档问答智能体 +- [Database MCP Agent](mcp_ai_agents/database_mcp_agent) - 对话式 AI 智能体，用于管理 GibsonAI 数据库项目与 schema +- [Hotel Finder Agent](mcp_ai_agents/hotel_finder_agent) - 使用 MCP 集成的酒店搜索与预订 +- [Custom MCP Server](mcp_ai_agents/custom_mcp_server) - 自定义 MCP 服务器实现示例 +- [Couchbase MCP Server](mcp_ai_agents/couchbase_mcp_server) - Couchbase 数据库与 MCP 协议集成 +- [ScaleKit Exa MCP Security](mcp_ai_agents/scalekit-exa-mcp-security) - 面向安全的 MCP 集成，结合 Exa 搜索 +- [Docker E2B MCP Agent](mcp_ai_agents/e2b_docker_mcp_agent) - 安全 AI 智能体，通过 MCP Gateway 在沙箱 Docker 环境中运行智能体 +- [Taskade MCP Agent](mcp_ai_agents/taskade_mcp_agent) - AI 驱动的工作区智能体，通过 Taskade MCP 管理项目、任务与工作流 +- [Telemetry MCP Okahu](mcp_ai_agents/telemetry-mcp-okahu) - 自愈合 Text-to-SQL 演示，通过托管 MCP 使用 Okahu Cloud 追踪数据 +- [MCP Toolbox Security Agent](mcp_ai_agents/mcp_toolbox_security_agent) - 基于 PostgreSQL + MongoDB 的安全电商智能体；MCP Toolbox 强制执行按用户数据访问、最小权限角色与授权工具 ### 🧠 Memory Agents -**Agents with advanced memory capabilities for context retention and personalization.** _13 projects_ +**具备高级记忆能力的智能体，用于上下文保持与个性化。** _13 个项目_ -- [Agno Memory Agent](memory_agents/agno_memory_agent) - Agno-based agent with persistent memory capabilities -- [arXiv Researcher Agent with Memori](memory_agents/arxiv_researcher_agent_with_memori) - Research assistant using OpenAI Agents and GibsonAI Memori -- [AWS Strands Agent with Memori](memory_agents/aws_strands_agent_with_memori) - AWS Strands agent enhanced with Memori memory system -- [Blog Writing Agent](memory_agents/blog_writing_agent) - Personalized blog writing agent with memory for style consistency -- [Social Media Agent](memory_agents/social_media_agent) - Social media automation agent with memory for brand voice -- [Job Search Agent](memory_agents/job_search_agent) - Job search agent with memory for preference tracking -- [Brand Reputation Monitor](memory_agents/brand_reputation_monitor) - AI-powered brand reputation monitoring with news analysis and sentiment tracking -- [Product Launch Agent](memory_agents/product_launch_agent) - Competitive intelligence tool for analyzing competitor product launches -- [AI Consultant Agent](memory_agents/ai_consultant_agent/) - AI-powered consulting agent using **Memori v3** as long-term memory fabric and **ExaAI** for research -- [Customer Support Voice Agent](memory_agents/customer_support_voice_agent) - Voice-enabled customer support assistant with Memori v3 and Firecrawl for knowledge base management -- [YouTube Trend Agent](memory_agents/youtube_trend_agent) - YouTube channel analysis agent with Memori, Agno, and Exa for trend analysis and video ideas -- [Study Coach Agent](memory_agents/study_coach_agent) - AI-powered study coach with Memori v3 and LangGraph for multi-step verification of understanding -- [Engineering Content Agent](memory_agents/engineering_content_agent) - Chat-first Agno app that turns HN demand, DEV.to supply gaps, and Weaviate Engram memory into a developer trend digest plus DevRel talk/blog ideation via Nebius +- [Agno Memory Agent](memory_agents/agno_memory_agent) - 基于 Agno 的智能体，具备持久化记忆能力 +- [arXiv Researcher Agent with Memori](memory_agents/arxiv_researcher_agent_with_memori) - 使用 OpenAI Agents 与 GibsonAI Memori 的研究助手 +- [AWS Strands Agent with Memori](memory_agents/aws_strands_agent_with_memori) - 集成 Memori 记忆系统的 AWS Strands 智能体 +- [Blog Writing Agent](memory_agents/blog_writing_agent) - 具备记忆能力的个性化博客写作智能体，保持风格一致 +- [Social Media Agent](memory_agents/social_media_agent) - 具备记忆能力的社交媒体自动化智能体，保持品牌调性 +- [Job Search Agent](memory_agents/job_search_agent) - 具备记忆能力的求职智能体，用于偏好追踪 +- [Brand Reputation Monitor](memory_agents/brand_reputation_monitor) - AI 驱动的品牌声誉监测，含新闻分析与情感追踪 +- [Product Launch Agent](memory_agents/product_launch_agent) - 竞品产品发布分析的竞争情报工具 +- [AI Consultant Agent](memory_agents/ai_consultant_agent/) - AI 驱动的咨询智能体，使用 **Memori v3** 作为长期记忆架构，并以 **ExaAI** 开展研究 +- [Customer Support Voice Agent](memory_agents/customer_support_voice_agent) - 支持语音的客户支持助手，集成 Memori v3 与 Firecrawl 用于知识库管理 +- [YouTube Trend Agent](memory_agents/youtube_trend_agent) - YouTube 频道分析智能体，结合 Memori、Agno 与 Exa 进行趋势分析与视频创意生成 +- [Study Coach Agent](memory_agents/study_coach_agent) - AI 驱动的学习教练，使用 Memori v3 与 LangGraph 进行多步理解验证 +- [Engineering Content Agent](memory_agents/engineering_content_agent) - 以聊天为先的 Agno 应用，将 HN 需求、DEV.to 供给缺口与 Weaviate Engram 记忆转化为开发者趋势摘要，并通过 Nebius 生成 DevRel 演讲/博客创意 ### 📚 RAG Applications -**Retrieve-augmented generation examples for document understanding and knowledge bases.** _12 projects_ +**检索增强生成（RAG）示例，用于文档理解与知识库构建。** _12 个项目_ -- [Agentic RAG](rag_apps/agentic_rag) - Agentic RAG implementation with Agno & GPT-5 -- [Agentic RAG with Web Search](rag_apps/agentic_rag_with_web_search) - Advanced RAG with CrewAI, Qdrant, and Exa for hybrid search capabilities -- [Resume Optimizer](rag_apps/resume_optimizer) - AI-powered resume optimization and enhancement tool -- [LlamaIndex RAG Starter](rag_apps/llamaIndex_starter) - LlamaIndex + Nebius RAG starter template -- [PDF RAG Analyzer](rag_apps/pdf_rag_analyser) - Multi-PDF chat and analysis system -- [Qwen3 RAG Chat](rag_apps/qwen3_rag) - PDF chatbot interface built with Streamlit -- [Chat with Code](rag_apps/chat_with_code) - Conversational code explorer and documentation assistant -- [Gemma3 OCR](rag_apps/gemma_ocr/) - OCR-based document and image processor using Gemma3 model -- [Nvidia Nemotron OCR](rag_apps/nvidia_ocr/) - OCR-based document and image parsing using Nvidia Nemotron-Nano-V2-12b -- [Contextual AI RAG](rag_apps/contextual_ai_rag) - Enterprise-level RAG with managed datastores and quality evaluation -- [Advanced RAG with Reranking](rag_apps/advanced_rag_with_reranking) - Production-shaped PDF RAG with contextual retrieval, Qdrant hybrid search, reranking, streaming answers, upload ingestion, and clickable citations -- [Simple RAG](rag_apps/simple_rag) - Basic RAG implementation with Nebius for quick starts -- [WFGY 16 Problem Map LLM Debugger](rag_apps/wfgy_llm_debugger) - 16-mode map based debugger for LLM and RAG bugs +- [Agentic RAG](rag_apps/agentic_rag) - 基于 Agno 与 GPT-5 的 Agentic RAG 实现 +- [Agentic RAG with Web Search](rag_apps/agentic_rag_with_web_search) - 高级 RAG，结合 CrewAI、Qdrant 与 Exa，支持混合搜索 +- [Resume Optimizer](rag_apps/resume_optimizer) - AI 驱动的简历优化与增强工具 +- [LlamaIndex RAG Starter](rag_apps/llamaIndex_starter) - LlamaIndex + Nebius RAG 入门模板 +- [PDF RAG Analyzer](rag_apps/pdf_rag_analyser) - 多 PDF 对话与分析系统 +- [Qwen3 RAG Chat](rag_apps/qwen3_rag) - 基于 Streamlit 构建的 PDF 聊天机器人界面 +- [Chat with Code](rag_apps/chat_with_code) - 对话式代码探索与文档助手 +- [Gemma3 OCR](rag_apps/gemma_ocr/) - 使用 Gemma3 模型的 OCR 文档与图像处理器 +- [Nvidia Nemotron OCR](rag_apps/nvidia_ocr/) - 使用 Nvidia Nemotron-Nano-V2-12b 的 OCR 文档与图像解析器 +- [Contextual AI RAG](rag_apps/contextual_ai_rag) - 企业级 RAG，含托管数据存储与质量评估 +- [Advanced RAG with Reranking](rag_apps/advanced_rag_with_reranking) - 面向生产的 PDF RAG：上下文检索、Qdrant 混合搜索、重排序、流式回答、上传摄取与可点击引用 +- [Simple RAG](rag_apps/simple_rag) - 基于 Nebius 的基础 RAG 实现，便于快速上手 +- [WFGY 16 Problem Map LLM Debugger](rag_apps/wfgy_llm_debugger) - 16 模式地图式 LLM 与 RAG 缺陷调试器 ### 🔬 Advanced Agents -**Complex multi-agent pipelines for production-ready end-to-end workflows.** _24 projects_ +**面向生产就绪端到端工作流的复杂多智能体流水线。** _24 个项目_ -- [Deep Research + Writing Agents Workshop](advance_ai_agents/deep_research_writing_agents_nebius_okahu) - Nebius-powered LangChain MCP workshop with Exa research, Gemini image generation, and Okahu/Monocle eval observability -- [Nebius AutoResearch](advance_ai_agents/nebius-autoresearch-autoresearch-mar30) - NYC taxi analytics pipeline optimizer; iterative code search with Nebius Token Factory (real-time or batch inference) -- [AgentField Financial Research Agent](advance_ai_agents/agentfield_finance_research_agent) - Financial Research Agent with AgentField -- [Due Diligence Agent](advance_ai_agents/due_diligence_agent) - Multi-agent company due diligence pipeline with AG2 and TinyFish deep web scraping -- [Deep Researcher](advance_ai_agents/deep_researcher_agent) - Multi-stage research agent with Agno & ScrapeGraph AI -- [Candilyzer](advance_ai_agents/candidate_analyser) - Candidate analysis tool for GitHub/LinkedIn profiles -- [Cosmos Arena Debate Council](advance_ai_agents/cosmos_arena_debate_council) - Multi-agent debate council built with LangGraph and the NVIDIA Cosmos reasoning model via Nebius Token Factory -- [Job Finder](advance_ai_agents/job_finder_agent) - LinkedIn job search automation with Bright Data integration -- [AI Trend Analyzer](advance_ai_agents/trend_analyzer_agent) - AI trend mining and analysis with Google ADK -- [Conference Talk Generator](advance_ai_agents/conference_talk_abstract_generator) - Automated talk abstract generation with Google ADK & Couchbase -- [Finance Service Agent](advance_ai_agents/finance_service_agent) - FastAPI server for stock data and predictions with Agno -- [FlowSentinel Audit Trail](advance_ai_agents/flowsentinal_audittrail) - Next.js workflow command center: Nebius Nemotron reasoning, n8n orchestration, Velt immutable activity logs, optional Tailscale Funnel exposure -- [Price Monitoring Agent](advance_ai_agents/price_monitoring_agent) - Price monitoring and alerting agent powered by CrewAI, Twilio & Nebius -- [Pydantic Game Agent](advance_ai_agents/pydantic_game_agent) - FastAPI multi-agent studio that generates sandboxed browser games from one prompt using Pydantic AI and GLM-5.2 on Nebius -- [Startup Idea Validator Agent](advance_ai_agents/startup_idea_validator_agent) - Agentic workflow to validate and analyze startup ideas -- [Meeting Assistant Agent](advance_ai_agents/meeting_assistant_agent) - Automated meeting notes and task creation from conversations -- [AI Hedgefund](advance_ai_agents/ai-hedgefund) - Agentic workflow for comprehensive financial analysis -- [Smart GTM Agent](advance_ai_agents/smart_gtm_agent) - Go-to-market strategy and competitive analysis agent -- [Conference Agnostic CFP Generator](advance_ai_agents/conference_agnositc_cfp_generator) - Automated conference proposal generation system -- [Car Finder Agent](advance_ai_agents/car_finder_agent) - AI-powered used car recommendation system with CrewAI and MongoDB -- [Content Team Agent](advance_ai_agents/content_team_agent) - SEO content optimization workflow with Agno & SerpAPI for Google AI Search ranking -- [Customer Support Resolution Agent](advance_ai_agents/customer_support_resolution_agent) - LangChain and Nebius support agent with knowledge-base retrieval, order lookup, and human ticket escalation -- [Web Intelligence Agent](advance_ai_agents/web_intelligence_agent) - Mastra multi-agent pipeline that turns Olostep web evidence into Nemotron-verified case studies with SQLite persistence and Velt audit trail -- [Temporal Agents](advance_ai_agents/temporal_agents/) - Examples of Temporal based AI Agents +- [Deep Research + Writing Agents Workshop](advance_ai_agents/deep_research_writing_agents_nebius_okahu) - 由 Nebius 驱动的 LangChain MCP 工作坊，集成 Exa 研究、Gemini 图像生成与 Okahu/Monocle 评估可观测性 +- [Nebius AutoResearch](advance_ai_agents/nebius-autoresearch-autoresearch-mar30) - NYC 出租车分析流水线优化器；结合 Nebius Token Factory 进行迭代代码搜索（实时或批量推理） +- [AgentField Financial Research Agent](advance_ai_agents/agentfield_finance_research_agent) - 基于 AgentField 的金融研究智能体 +- [Due Diligence Agent](advance_ai_agents/due_diligence_agent) - 多智能体公司尽职调查流水线，使用 AG2 与 TinyFish 深度网页抓取 +- [Deep Researcher](advance_ai_agents/deep_researcher_agent) - 多阶段研究智能体，基于 Agno 与 ScrapeGraph AI +- [Candilyzer](advance_ai_agents/candidate_analyser) - 面向 GitHub/LinkedIn 资料的候选人分析工具 +- [Cosmos Arena Debate Council](advance_ai_agents/cosmos_arena_debate_council) - 基于 LangGraph 构建的多智能体辩论委员会，通过 Nebius Token Factory 调用 NVIDIA Cosmos 推理模型 +- [Job Finder](advance_ai_agents/job_finder_agent) - LinkedIn 求职搜索自动化，集成 Bright Data +- [AI Trend Analyzer](advance_ai_agents/trend_analyzer_agent) - 基于 Google ADK 的 AI 趋势挖掘与分析 +- [Conference Talk Generator](advance_ai_agents/conference_talk_abstract_generator) - 基于 Google ADK 与 Couchbase 的自动化演讲摘要生成 +- [Finance Service Agent](advance_ai_agents/finance_service_agent) - 基于 Agno 的股票数据与预测 FastAPI 服务 +- [FlowSentinel Audit Trail](advance_ai_agents/flowsentinal_audittrail) - Next.js 工作流指挥中心：Nebius Nemotron 推理、n8n 编排、Velt 不可变活动日志，可选 Tailscale Funnel 暴露 +- [Price Monitoring Agent](advance_ai_agents/price_monitoring_agent) - 基于 CrewAI、Twilio 与 Nebius 的价格监控与告警智能体 +- [Pydantic Game Agent](advance_ai_agents/pydantic_game_agent) - FastAPI 多智能体工作室，使用 Pydantic AI 与 Nebius 上的 GLM-5.2，从单条提示生成沙箱化浏览器游戏 +- [Startup Idea Validator Agent](advance_ai_agents/startup_idea_validator_agent) - 用于验证与分析创业想法的智能体工作流 +- [Meeting Assistant Agent](advance_ai_agents/meeting_assistant_agent) - 从对话自动生成会议纪要与任务 +- [AI Hedgefund](advance_ai_agents/ai-hedgefund) - 用于全面金融分析的智能体工作流 +- [Smart GTM Agent](advance_ai_agents/smart_gtm_agent) - 市场进入（GTM）策略与竞争分析智能体 +- [Conference Agnostic CFP Generator](advance_ai_agents/conference_agnositc_cfp_generator) - 自动化会议提案生成系统 +- [Car Finder Agent](advance_ai_agents/car_finder_agent) - AI 驱动的二手车推荐系统，基于 CrewAI 与 MongoDB +- [Content Team Agent](advance_ai_agents/content_team_agent) - 基于 Agno 与 SerpAPI 的 SEO 内容优化工作流，面向 Google AI Search 排名 +- [Customer Support Resolution Agent](advance_ai_agents/customer_support_resolution_agent) - 基于 LangChain 与 Nebius 的支持智能体，含知识库检索、订单查询与人工工单升级 +- [Web Intelligence Agent](advance_ai_agents/web_intelligence_agent) - Mastra 多智能体流水线，将 Olostep 网页证据转化为经 Nemotron 验证的案例研究，含 SQLite 持久化与 Velt 审计追踪 +- [Temporal Agents](advance_ai_agents/temporal_agents/) - 基于 Temporal 的 AI 智能体示例 ## 📺 Tutorials & Videos ### 🎓 Course Playlists -- [**AWS Strands Course**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lrc43ZtUXAwYu9DhnqxzRKZ) - Complete 8-lesson course on building AI agents with AWS Strands SDK +- [**AWS Strands Course**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lrc43ZtUXAwYu9DhnqxzRKZ) - 使用 AWS Strands SDK 构建 AI 智能体的完整 8 课时课程 ### 🔧 Framework Tutorials -- [**Build with MCP**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lolxax4L2HS54Me8gn1gkz4) - Model Context Protocol tutorials and examples -- [**Build AI Agents**](https://www.youtube.com/playlist?list=PLMZM1DAlf0LqixhAG9BDk4O_FjqnaogK8) - General AI agent development tutorials -- [**AI Agents, MCP and more...**](https://www.youtube.com/playlist?list=PL2ambAOfYA6-LDz0KpVKu9vJKAqhv0KKI) - Mixed tutorials and project demos +- [**Build with MCP**](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lolxax4L2HS54Me8gn1gkz4) - Model Context Protocol 教程与示例 +- [**Build AI Agents**](https://www.youtube.com/playlist?list=PLMZM1DAlf0LqixhAG9BDk4O_FjqnaogK8) - 通用 AI 智能体开发教程 +- [**AI Agents, MCP and more...**](https://www.youtube.com/playlist?list=PL2ambAOfYA6-LDz0KpVKu9vJKAqhv0KKI) - 混合教程与项目演示 ---

-## 📥 Stay Updated with Daily AI Insight! +## 📥 每日 AI 洞察，助你保持前沿！ -Get easy-to-follow weekly tutorials and deep dives on AI, LLMs, and agent frameworks. Perfect for developers who want to learn, build, and stay ahead with new tech. Subscribe our Newsletter! +获取通俗易懂的每周教程，以及关于 AI、LLM（大语言模型）和智能体（agent）框架的深度解析。适合希望学习、动手构建并紧跟新技术的开发者。订阅我们的 Newsletter！ [![Subscribe to our Newsletter](https://github.com/user-attachments/assets/990d1947-337b-4e87-a7e6-e619ec19dee6)](https://mranand.substack.com/subscribe) @@ -369,34 +375,34 @@ Get easy-to-follow weekly tutorials and deep dives on AI, LLMs, and agent framew ### Prerequisites -- **Python 3.10+** (Python 3.11+ recommended for newer projects) -- **Git** for cloning the repository -- **Package Manager**: `pip` or `uv` (recommended for faster installs) -- **API Keys**: Most projects require API keys (see individual project READMEs) +- **Python 3.10+**（新项目建议使用 Python 3.11+） +- **Git**，用于克隆仓库 +- **Package Manager（包管理器）**：`pip` 或 `uv`（推荐，安装更快） +- **API Keys（API 密钥）**：大多数项目需要 API 密钥（详见各项目 README） ### Quick Start -1. **Clone the repository** +1. **Clone the repository（克隆仓库）** ```bash git clone https://github.com/Arindam200/awesome-ai-apps.git cd awesome-ai-apps ``` -2. **Choose a project** and navigate to its directory +2. **Choose a project（选择项目）** and navigate to its directory（进入对应目录） ```bash cd starter_ai_agents/agno_starter # Example: Start with Agno starter ``` -3. **Set up environment variables** +3. **Set up environment variables（配置环境变量）** ```bash cp .env.example .env # Copy example environment file # Edit .env with your API keys ``` -4. **Install dependencies** +4. **Install dependencies（安装依赖）** ```bash # Using pip @@ -408,7 +414,7 @@ Get easy-to-follow weekly tutorials and deep dives on AI, LLMs, and agent framew uv pip install -e . ``` -5. **Run the project** +5. **Run the project（运行项目）** ```bash python main.py @@ -418,14 +424,14 @@ Get easy-to-follow weekly tutorials and deep dives on AI, LLMs, and agent framew ## 🤝 Contributing -We welcome contributions from the community! Here's how you can help: +欢迎社区贡献！你可以通过以下方式参与： -- 🐛 **Report bugs** or suggest improvements via [GitHub Issues](https://github.com/Arindam200/awesome-ai-apps/issues) -- 💡 **Add new projects** - Submit your own AI agent examples -- 📝 **Improve documentation** - Help make projects more accessible -- 🔧 **Fix issues** - Contribute code improvements and bug fixes +- 🐛 **Report bugs（报告 Bug）** or suggest improvements via [GitHub Issues](https://github.com/Arindam200/awesome-ai-apps/issues) +- 💡 **Add new projects（添加新项目）** - Submit your own AI agent examples +- 📝 **Improve documentation（改进文档）** - Help make projects more accessible +- 🔧 **Fix issues（修复问题）** - Contribute code improvements and bug fixes -**Before contributing:** +**Before contributing（贡献前须知）：** - Read our [Contributing Guidelines](CONTRIBUTING.md) for detailed information - Check existing issues to avoid duplicates @@ -440,7 +446,7 @@ This repository is licensed under the [MIT License](./LICENSE). Feel free to use ## 👥 Core Maintainers -This project is actively maintained by: +本项目由以下维护者积极维护：

@@ -466,7 +472,7 @@ This project is actively maintained by:

-For any questions, suggestions, or contributions, feel free to reach out to the maintainers. +如有任何问题、建议或贡献，欢迎随时联系维护者。 ## Thank You for the Support! 🙏