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![Banner](/assets/banner_new.png)
<div align="center">
# Awesome AI Apps [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
<a href="https://trendshift.io/repositories/14662" target="_blank"><img src="https://trendshift.io/api/badge/repositories/14662" alt="Arindam200%2Fawesome-ai-apps | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</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.
## 📋 Table of Contents
- [🎓 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)
---
<div align="center">
## 💎 Sponsors
<p align="center">
A huge thank you to our sponsors for their generous support!
</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">
<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>
<sub>
<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">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/nebius" target="_blank" title="Visit 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>
<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">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/scrapegraphai" target="_blank" title="Visit ScrapeGraphAI on GitHub">
<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>
<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">
</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">
<img src="assets/memori.png" height="36" style="max-width:180px;" alt="Memori - SQL Native Memory for AI">
</a>
<br>
<sub>
<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">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/copilotkit" target="_blank" title="Visit 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>
<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">
</a>
</sub>
</td>
<td width="300" valign="middle" align="center">
<a href="https://dub.sh/scalekitt" target="_blank" title="Visit ScaleKit">
<img src="assets/scalekit.svg" height="36" style="max-width:180px;" alt="ScaleKit - Auth Stack for AI">
</a>
<br>
<sub>
<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">
</a>
</sub>
</td>
</tr>
<tr align="center">
<td width="200" valign="middle" align="center">
<a href="https://okahu.ai" target="_blank" title="Visit 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>
<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">
</a>
</sub>
</td>
<td width="200" valign="middle" align="center">
<a href="https://dub.sh/serpApi" target="_blank" title="Visit SerpApi">
<img src="assets/serpapi.png" height="36" style="max-width:180px;" alt="SerpApi - Google Search API">
</a>
<br>
<sub>
<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">
</a>
</sub>
</td>
<td width="200" valign="middle" align="center">
<a href="https://dub.sh/agentfield" target="_blank" title="Visit AgentField">
<img src="assets/agentfield.png" height="40" style="max-width:180px;" alt="AgentField - Kubernetes for AI Agents">
</a>
<br>
<sub>
<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">
</a>
</sub>
</td>
</tr>
</table>
### 💎 Become a Sponsor
<p align="center">
Interested in sponsoring this project? Feel free to reach out!
<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">
</a>
<a href="mailto:arindammajumder2020@gmail.com">
<img src="https://img.shields.io/badge/Email-D14836?style=for-the-badge&logo=gmail&logoColor=white" alt="Email">
</a>
</p>
</div>
---
## 🎓 Courses
### AWS Strands Course for Beginners
**Comprehensive hands-on course on building AI agents with AWS Strands SDK:**
- [**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
## 🚀 Featured AI Apps
### 🧩 Starter Agents
**Quick-start agents for learning and extending different AI frameworks.** _20 projects_
- [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
### 🪶 Simple Agents
**Straightforward, practical use-cases for everyday AI applications.** _19 projects_
- [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
### 🎙️ Voice Agents
**Real-time voice assistants and streaming speech pipelines.** _8 projects_
- [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
### 🗂️ MCP Agents
**Examples using Model Context Protocol for external tool integration.** _13 projects_
- [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
### 🧠 Memory Agents
**Agents with advanced memory capabilities for context retention and personalization.** _13 projects_
- [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
### 📚 RAG Applications
**Retrieve-augmented generation examples for document understanding and knowledge bases.** _12 projects_
- [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
### 🔬 Advanced Agents
**Complex multi-agent pipelines for production-ready end-to-end workflows.** _24 projects_
- [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
## 📺 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
### 🔧 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
---
<div align="center">
## 📥 Stay Updated with Daily AI Insight!
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!
[![Subscribe to our Newsletter](https://github.com/user-attachments/assets/990d1947-337b-4e87-a7e6-e619ec19dee6)](https://mranand.substack.com/subscribe)
</div>
---
## Getting Started
### 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)
### Quick Start
1. **Clone the repository**
```bash
git clone https://github.com/Arindam200/awesome-ai-apps.git
cd awesome-ai-apps
```
2. **Choose a project** and navigate to its directory
```bash
cd starter_ai_agents/agno_starter # Example: Start with Agno starter
```
3. **Set up environment variables**
```bash
cp .env.example .env # Copy example environment file
# Edit .env with your API keys
```
4. **Install dependencies**
```bash
# Using pip
pip install -r requirements.txt
# OR using uv (recommended - faster)
uv sync
# or
uv pip install -e .
```
5. **Run the project**
```bash
python main.py
# or for Streamlit apps
streamlit run app.py
```
## 🤝 Contributing
We welcome contributions from the community! Here's how you can help:
- 🐛 **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
**Before contributing:**
- Read our [Contributing Guidelines](CONTRIBUTING.md) for detailed information
- Check existing issues to avoid duplicates
- Follow the project structure and naming conventions
- Ensure your project includes a comprehensive README.md
**Important:** This project follows a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating, you agree to abide by its terms.
## 📜 License
This repository is licensed under the [MIT License](./LICENSE). Feel free to use and modify the examples for your projects.
## 👥 Core Maintainers
This project is actively maintained by:
<p align="center">
<a href="https://github.com/Arindam200" title="Arindam Majumder">
<img src="https://avatars.githubusercontent.com/u/109217591?s=128&v=4" width="72" height="72" alt="Arindam Majumder" style="border-radius: 50%;" />
</a>
&nbsp;&nbsp;&nbsp;
<a href="https://github.com/shivaylamba" title="Shivay Lamba">
<img src="https://avatars.githubusercontent.com/u/19529592?s=128&v=4" width="72" height="72" alt="Shivay Lamba" style="border-radius: 50%;" />
</a>
&nbsp;&nbsp;&nbsp;
<a href="https://github.com/Astrodevil" title="Astrodevil">
<img src="https://avatars.githubusercontent.com/u/73425223?s=128&v=4" width="72" height="72" alt="Astrodevil" style="border-radius: 50%;" />
</a>
</p>
<p align="center">
<sub>
<a href="https://github.com/Arindam200">Arindam Majumder</a>
&nbsp;·&nbsp;
<a href="https://github.com/shivaylamba">Shivay Lamba</a>
&nbsp;·&nbsp;
<a href="https://github.com/Astrodevil">Astrodevil</a>
</sub>
</p>
For any questions, suggestions, or contributions, feel free to reach out to the maintainers.
## Thank You for the Support! 🙏
[![Star History Chart](https://api.star-history.com/svg?repos=Arindam200/awesome-ai-apps&type=Date)](https://www.star-history.com/#Arindam200/awesome-ai-apps&Date)
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