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A curated collection of 132 projects, tutorials, and recipes for building LLM-powered applications - covering text agents, voice assistants, RAG apps, and MCP-backed tools.
A curated collection of 132 projects, tutorials, and recipes for building LLM-powered applications - covering text agents, voice assistants, RAG apps, and MCP-backed tools.Is this a single app or an index of many small projects?It is an index: each entry is its own self-contained project/example built with a different AI framework (LangChain, Agno, CrewAI, LlamaIndex, Mastra, etc.), organized into categories like Starter Agents, Simple Agents, Voice Agents, MCP Agents, Memory Agents, and RAG Applications.
It is an index: each entry is its own self-contained project/example built with a different AI framework (LangChain, Agno, CrewAI, LlamaIndex, Mastra, etc.), organized into categories like Starter Agents, Simple Agents, Voice Agents, MCP Agents, Memory Agents, and RAG Applications.How do I use one of these example projects?Browse the table of contents to a category, pick a project, and open its own folder/README for setup instructions - the repo itself is a directory, not a single installable app.
Browse the table of contents to a category, pick a project, and open its own folder/README for setup instructions - the repo itself is a directory, not a single installable app.Do all projects use the same AI provider or API key?No - different projects use different providers and SDKs (Nebius Token Factory, OpenAI Agents SDK, Google ADK, AWS Strands, Deepgram, LiveKit, etc.), so required keys depend on which specific project you pick.
No - different projects use different providers and SDKs (Nebius Token Factory, OpenAI Agents SDK, Google ADK, AWS Strands, Deepgram, LiveKit, etc.), so required keys depend on which specific project you pick.Are these production-ready apps or just learning demos?Most are starter/demo-level examples meant for learning and extending different frameworks, though a few (like the Production PDF RAG) are described as more production-shaped.
Most are starter/demo-level examples meant for learning and extending different frameworks, though a few (like the Production PDF RAG) are described as more production-shaped.What categories of projects are included?Starter Agents, Simple Agents, Voice Agents, MCP Agents, Memory Agents, RAG Applications, Advanced Agents, and Fine-Tuning, plus tutorials and videos.
Starter Agents, Simple Agents, Voice Agents, MCP Agents, Memory Agents, RAG Applications, Advanced Agents, and Fine-Tuning, plus tutorials and videos.Which frameworks are covered?A wide range including LangChain, LangGraph, CrewAI, Agno, LlamaIndex, Mastra, AWS Strands, Google ADK, Microsoft AutoGen/Semantic Kernel/Agent Framework, Hugging Face smolagents, DSPy, and Pipecat/LiveKit for voice.
A wide range including LangChain, LangGraph, CrewAI, Agno, LlamaIndex, Mastra, AWS Strands, Google ADK, Microsoft AutoGen/Semantic Kernel/Agent Framework, Hugging Face smolagents, DSPy, and Pipecat/LiveKit for voice.What are the MCP agent examples about?They show Model Context Protocol integrations for external tools - e.g. GitHub repo analysis, Couchbase and database access, sandboxed code execution, and secure MCP access patterns.
They show Model Context Protocol integrations for external tools - e.g. GitHub repo analysis, Couchbase and database access, sandboxed code execution, and secure MCP access patterns.Is this repository still accepting new projects?Yes, it is marked as a Hacktoberfest project and has a Contributing section, suggesting it actively accepts community-submitted example apps.
Yes, it is marked as a Hacktoberfest project and has a Contributing section, suggesting it actively accepts community-submitted example apps.What are similar projects?awesome-llm-apps, agentic-rag-for-dummies, ruflo, txtai, LibreChat, opik, ragent, all-in-rag
awesome-llm-apps, agentic-rag-for-dummies, ruflo, txtai, LibreChat, opik, ragent, all-in-ragWhich topics is it in?llama-index, rag-pipeline, voice-ai, speech-to-text, knowledge-graph, langchain, vector-database, text-to-speech, agent-framework, rag, multi-agent, agents
llama-index, rag-pipeline, voice-ai, speech-to-text, knowledge-graph, langchain, vector-database, text-to-speech, agent-framework, rag, multi-agent, agents