# Awesome Ai Apps

> A collection of projects showcasing RAG, agents, workflows, and other AI use cases

- **Type:** MCP server
- **Install:** `agentstack add mcp-arindam200-awesome-ai-apps`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Arindam200](https://agentstack.voostack.com/s/arindam200)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Arindam200](https://github.com/Arindam200)
- **Source:** https://github.com/Arindam200/awesome-ai-apps
- **Website:** https://raah.dev

## Install

```sh
agentstack add mcp-arindam200-awesome-ai-apps
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Awesome AI Apps [](https://awesome.re)

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)

---

## 💎 Sponsors

  A huge thank you to our sponsors for their generous support!

  
    
      
        
      
      
      
        Web Data Platform
        
        
          
        
      
    
    
      
        
      
      
      
        AI Inference Provider
        
        
          
        
      
    
    
      
        
      
      
      
        AI Web Scraping framework
        
        
          
        
      
    
  
  
    
      
        
      
      
      
        SQL Native Memory for AI
        
        
          
        
      
    
    
      
        
      
      
      
        Agentic Application Platform
        
        
          
        
      
    
    
      
        
      
      
      
        Auth Stack for AI
        
        
          
        
      
    
  
  
    
      
        
      
      
      
        AI Observability Platform
        
        
          
        
      
    
    
      
        
      
      
      
        Google Search API
        
        
          
        
      
    
    
      
        
      
      
      
        Kubernetes for AI Agents
        
        
          
        
      
    
  

   

### 💎 Become a Sponsor

Interested in sponsoring this project? Feel free to reach out!

    

    

---

## 🎓 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 Tr

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## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Arindam200](https://github.com/Arindam200)
- **Source:** [Arindam200/awesome-ai-apps](https://github.com/Arindam200/awesome-ai-apps)
- **License:** MIT
- **Homepage:** https://raah.dev

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** yes
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-arindam200-awesome-ai-apps
- Seller: https://agentstack.voostack.com/s/arindam200
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.