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<!-- WEHUB_ZH_README -->
> [!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)
<div align="center">
@@ -8,37 +14,37 @@
</div>
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)
---
<div align="center">
## 💎 Sponsors
## 💎 赞助商
<p align="center">
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！
</p>
<table align="center" cellpadding="10" style="width:100%; border-collapse:collapse;">
<tr align="center">
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/brightdata" target="_blank" title="Visit Bright Data">
<a href="https://dub.sh/brightdata" target="_blank" title="访问 Bright Data">
<img src="https://mintlify.s3.us-west-1.amazonaws.com/brightdata/logo/light.svg" height="35" style="max-width:180px;" alt="Bright Data - Web Data Platform">
</a>
<br>
@@ -46,40 +52,40 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
<span style="white-space:nowrap;">Web Data Platform</span>
<br>
<a href="https://dub.sh/brightdata" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit Bright Data website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 Bright Data 网站">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/nebius" target="_blank" title="Visit Nebius Token Factory">
<a href="https://dub.sh/nebius" target="_blank" title="访问 Nebius Token Factory">
<img src="./assets/nebius.png" height="36" style="max-width:180px;" alt="Nebius Token Factory">
</a>
<br>
<sub>
<span style="white-space:nowrap;">AI Inference Provider</span>
<span style="white-space:nowrap;">AI 推理服务提供商</span>
<br>
<a href="https://dub.sh/nebius" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit Nebius Token Factory">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 Nebius Token Factory">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/scrapegraphai" target="_blank" title="Visit ScrapeGraphAI on GitHub">
<a href="https://dub.sh/scrapegraphai" target="_blank" title="在 GitHub 上访问 ScrapeGraphAI">
<img src="https://raw.githubusercontent.com/ScrapeGraphAI/ScrapeGraph-AI/main/docs/assets/scrapegraphai_logo.png" height="44" style="max-width:180px;" alt="ScrapeGraphAI - Web Scraping Library">
</a>
<br>
<sub>
<span style="white-space:nowrap;">AI Web Scraping framework</span>
<span style="white-space:nowrap;">AI 网页抓取框架</span>
<br>
<a href="https://dub.sh/scrapegraphai" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="View ScrapeGraphAI on GitHub">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="在 GitHub 上查看 ScrapeGraphAI">
</a>
</sub>
</td>
</tr>
<tr align="center">
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/memorilabs" target="_blank" title="Visit Memorilabs">
<a href="https://dub.sh/memorilabs" target="_blank" title="访问 Memorilabs">
<img src="assets/memori.png" height="36" style="max-width:180px;" alt="Memori - SQL Native Memory for AI">
</a>
<br>
@@ -87,25 +93,25 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
<span style="white-space:nowrap;">SQL Native Memory for AI</span>
<br>
<a href="https://dub.sh/memorilabs" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit Memorilabs website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 Memorilabs 网站">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/copilotkit" target="_blank" title="Visit CopilotKit">
<a href="https://dub.sh/copilotkit" target="_blank" title="访问 CopilotKit">
<img src="assets/copilot-kit-logo.svg" height="36" style="max-width:180px;" alt="CopilotKit - Agentic Application Platform">
</a>
<br>
<sub>
<span style="white-space:nowrap;">Agentic Application Platform</span>
<span style="white-space:nowrap;">智能体应用平台</span>
<br>
<a href="https://dub.sh/copilotkit" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit CopilotKit website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 CopilotKit 网站">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/scalekitt" target="_blank" title="Visit ScaleKit">
<a href="https://dub.sh/scalekitt" target="_blank" title="访问 ScaleKit">
<img src="assets/scalekit.svg" height="36" style="max-width:180px;" alt="ScaleKit - Auth Stack for AI">
</a>
<br>
@@ -113,27 +119,27 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
<span style="white-space:nowrap;">Auth Stack for AI</span>
<br>
<a href="https://dub.sh/scalekitt" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit ScaleKit website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 ScaleKit 网站">
</a>
</sub>
</td>
</tr>
<tr align="center">
<td width="200" valign="middle" align="center">
<a href="https://okahu.ai" target="_blank" title="Visit Okahu">
<a href="https://okahu.ai" target="_blank" title="访问 Okahu">
<img src="assets/okahu.png" height="36" style="max-width:180px;" alt="Okahu - AI Platform">
</a>
<br>
<sub>
<span style="white-space:nowrap;">AI Observability Platform</span>
<span style="white-space:nowrap;">AI 可观测性平台</span>
<br>
<a href="https://okahu.ai" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit Okahu website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 Okahu 网站">
</a>
</sub>
</td>
<td width="200" valign="middle" align="center">
<a href="https://dub.sh/serpApi" target="_blank" title="Visit SerpApi">
<a href="https://dub.sh/serpApi" target="_blank" title="访问 SerpApi">
<img src="assets/serpapi.png" height="36" style="max-width:180px;" alt="SerpApi - Google Search API">
</a>
<br>
@@ -141,12 +147,12 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
<span style="white-space:nowrap;">Google Search API</span>
<br>
<a href="https://dub.sh/serpApi" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit SerpApi website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 SerpApi 网站">
</a>
</sub>
</td>
<td width="200" valign="middle" align="center">
<a href="https://dub.sh/agentfield" target="_blank" title="Visit AgentField">
<a href="https://dub.sh/agentfield" target="_blank" title="访问 AgentField">
<img src="assets/agentfield.png" height="40" style="max-width:180px;" alt="AgentField - Kubernetes for AI Agents">
</a>
<br>
@@ -154,7 +160,7 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
<span style="white-space:nowrap;">Kubernetes for AI Agents</span>
<br>
<a href="https://dub.sh/agentfield" target="_blank">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="Visit AgentField website">
<img src="https://img.shields.io/badge/Visit%20Site-blue?style=flat-square" alt="访问 AgentField 网站">
</a>
</sub>
</td>
@@ -164,10 +170,10 @@ This repository is a comprehensive collection of **80+ practical examples, tutor
</table>
### 💎 Become a Sponsor
### 💎 成为赞助商
<p align="center">
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！
<br/>
<a href="https://dub.sh/arindam-linkedin" target="_blank">
<img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white" alt="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
---
<div align="center">
## 📥 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！
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@@ -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：
<p align="center">
<a href="https://github.com/Arindam200" title="Arindam Majumder">
@@ -466,7 +472,7 @@ This project is actively maintained by:
</sub>
</p>
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! 🙏