awesome-ai-apps
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
- 16.6k estrellas
- 1.9k forks
- 81 issues abiertos
- Lenguaje: Python
- Licencia: MIT
- actualizado
Instalación
git clone https://github.com/Arindam200/awesome-ai-apps- Browse the curated list on GitHub or clone it locally.
- Star it to keep new additions on your radar.
Nota editorial
Awesome AI Apps is a curated index of more than 80 working code examples and tutorials for building LLM-based applications in Python, organized into discrete categories including starter agents, voice agents, MCP agents, memory agents, RAG applications, and advanced agents. Each entry links to a self-contained project rather than just a description, giving developers runnable reference implementations they can adapt directly. The list covers integration with Claude through the Model Context Protocol (MCP) as a dedicated section, alongside other LLM providers and frameworks, making it a practical reference for developers who want to see how MCP-backed tooling works in practice. RAG examples cover document retrieval pipelines, while voice agent entries demonstrate speech-to-text and text-to-speech workflows. The collection has accumulated over 12,700 GitHub stars and is an active Hacktoberfest participant, indicating ongoing community contributions. Developers new to agentic architectures, as well as those evaluating MCP adoption, are the primary audience.
Resumen de Awesome Lists
Awesome AI Apps 
This repository is a comprehensive collection of 132 projects, 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
💎 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 Kubernetes for AI Agents Byteful
💎 Become a Sponsor
Interested in sponsoring this project? Feel free to reach out!
🚀 Featured AI Apps
🧩 Starter Agents
Quick-start agents for learning and extending different AI frameworks. 21 projects
AutoGen Tool-Calling Starter: Microsoft AutoGen
AssistantAgentwith a custom tool, powered by Nebius Token FactoryAWS Strands Agent Starter: Weather report agent using AWS Strands SDK
CAMEL AI Model Benchmark: Performance benchmarking tool comparing various AI models
Coding Harness Starter: OpenAI Agents SDK coding loop with plan, approval-gated edits, fixed tests, and bounded review, powered by Nebius Token Factory
CrewAI Research Crew: Multi-agent research team example
Docker cagent Multi-Agent Starter: Open-source customizable multi-agent runtime by Docker
DSPy Optimization Starter: DSPy framework for building and optimizing AI systems
Google Agent Development Kit Starter: Google Agent Development Kit starter template
Hacker News Trend Analyst (Agno): Agno-based agent for trend analysis on Hacker News
Hugging Face smolagents Starter: Hugging Face smolagents code-first web-search agent
KAOS Kubernetes Multi-Agent Starter: Kubernetes-native multi-agent system with MCP tools and in-cluster LLM
LangChain Tool-Calling Starter: LangChain tool-calling agent with
create_tool_calling_agent+AgentExecutor, powered by NebiusLangGraph ReAct Agent Starter: LangGraph prebuilt ReAct agent (
create_react_agent) with custom tools, powered by NebiusLetta Stateful Memory Agent: Stateful agent with persistent long-term memory across sessions
LlamaIndex Task Manager: LlamaIndex-powered task assistant
Mastra Tool-Calling Starter: TypeScript-first agent with a custom tool powered by Nebius Token Factory
Microsoft Agent Framework Starter: Multi-agent travel planning demos built on Microsoft Agent Framework
OpenAI Agents SDK Starter: OpenAI Agents SDK with email helper and haiku writer examples
PydanticAI Weather Bot: Real-time weather information agent
Lo que la gente pregunta sobre awesome-ai-apps
¿Qué es Arindam200/awesome-ai-apps?
Arindam200/awesome-ai-apps es awesome lists para el ecosistema de Claude AI. A collection of projects showcasing RAG, agents, workflows, and other AI use cases Tiene 16.6k estrellas en GitHub y su última actualización registrada es del 2026-10-09.
¿Cómo se instala awesome-ai-apps?
Puedes instalar awesome-ai-apps clonando el repositorio (https://github.com/Arindam200/awesome-ai-apps) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Arindam200/awesome-ai-apps?
Nuestro agente de seguridad ha analizado Arindam200/awesome-ai-apps y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Arindam200/awesome-ai-apps?
Arindam200/awesome-ai-apps es mantenido por Arindam200. La última actividad registrada en GitHub es del 2026-10-09, con 81 issues abiertos.
¿Hay alternativas a awesome-ai-apps?
Sí. En ClaudeWave puedes explorar awesome lists similares en /categories/awesome, ordenados por popularidad o actividad reciente.
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