Advanced AI Agents
Available
AG2 Adaptive Research Team
Multi-Agent Hierarchical Collaboration•Advanced
A Streamlit app that blends agent teamwork with agent-enabled routing and fallback, built entirely on AG2..
Model Integration / 139 Projects
GPT-4o-mini AI Projects & Architectures
Explore open-source reference implementations powered by GPT-4o-mini for autonomous tool execution, complex multi-step reasoning, and hybrid retrieval.
Advanced AI Agents
Available
AI Agent Governance - Policy-Based Sandboxing
Autonomous ReAct Agent Loop•Intermediate
Learn how to build a governance layer that enforces deterministic policies on AI agents, preventing dangerous actions before they execute..
Advanced AI Agents
Available
AI Competitor Intelligence Agent Team
Multi-Agent Hierarchical Collaboration•Intermediate
The AI Competitor Intelligence Agent Team is a powerful competitor analysis tool powered by Firecrawl and Agno's AI Agent framework. This app helps businesses analyze their competitors by extracting structured data from competitor...
Advanced AI Agents
Available
AI Domain Deep Research Agent
Autonomous ReAct Agent Loop•Intermediate
An advanced AI research agent built using the Agno Agent framework, Together AI's Qwen model, and Composio tools. This agent helps users conduct comprehensive research on any topic by generating research questions, finding answers...
Advanced AI Agents
Available
AI Email GTM Reachout Agent
Autonomous ReAct Agent Loop•Intermediate
An intelligent, fully automated B2B outreach system that discovers companies, finds decision makers, researches company intelligence, and generates personalized cold emails using AI agents.
Game Playing Agents
Available
AI Game Design Agent Team
Interactive Game Reasoning Agent•Advanced
The AI Game Design Agent Team is a collaborative game design system powered by AG2(formerly AutoGen)'s AI Agent framework. This app generates comprehensive game concepts through the coordination of multiple specialized AI agents, each...
Advanced AI Agents
Available
AI Legal Agent Team
Multi-Agent Hierarchical Collaboration•Intermediate
A Streamlit application that simulates a full-service legal team using multiple AI agents to analyze legal documents and provide comprehensive legal insights. Each agent represents a different legal specialist role, from research and...
Advanced AI Agents
Available
AI Mental Wellbeing Agent Team
Multi-Agent Hierarchical Collaboration•Advanced
The AI Mental Wellbeing Agent Team is a supportive mental health assessment and guidance system powered by AG2(formerly AutoGen)'s AI Agent framework. This app provides personalized mental health support through the coordination of...
Advanced AI Agents
Available
AI Negotiation Battle Simulator
Multi-Agent Hierarchical Collaboration•Advanced
Watch two AI agents battle it out in an epic used car negotiation! Built with Google ADK for the backend agents and AG-UI + CopilotKit for a jaw-dropping reactive frontend.
Advanced AI Agents
Available
AI Product Launch Intelligence Agent
Multi-Agent Hierarchical Collaboration•Intermediate
A streamlined intelligence hub for Go-To-Market (GTM) & Product-Marketing teams. Built with Streamlit + Agno (GPT-4o) + Firecrawl, the app turns scattered public-web data into concise, actionable launch insights.
Advanced AI Agents
Available
AI Recipe & Meal Planning Agent
Autonomous ReAct Agent Loop•Intermediate
An intelligent meal planning agent built with Agno that helps you discover recipes, analyze nutrition, estimate costs, and create weekly meal plans based on your ingredients and dietary preferences.
Advanced AI Agents
Available
AI Recruitment Agent Team
Multi-Agent Hierarchical Collaboration•Intermediate
A Streamlit application that simulates a full-service recruitment team using multiple AI agents to automate and streamline the hiring process. Each agent represents a different recruitment specialist role - from resume analysis and...
Advanced AI Agents
Available
AI Services Agency
Autonomous ReAct Agent Loop•Intermediate
An AI application that simulates a full-service digital agency using multiple AI agents to analyze and plan software projects. Each agent represents a different role in the project lifecycle, from strategic planning to technical...
Advanced AI Agents
Available
AI Startup Insight with Firecrawl FIRE-1 Agent
Autonomous ReAct Agent Loop•Intermediate
An advanced web extraction and analysis tool built using Firecrawl's FIRE-1 agent + extract v1 endpoint and the Agno Agent framework to get details of a new startup instantly! This application automatically extracts structured data from...
Advanced AI Agents
Available
AI Teaching Agent Team
Multi-Agent Hierarchical Collaboration•Intermediate
A Streamlit application that brings together a team of specialized AI teaching agents who collaborate like a professional teaching faculty. Each agent acts as a specialized educator: a curriculum designer, learning path expert, resource...
Advanced AI Agents
Available
AQI Analysis Agent
Autonomous ReAct Agent Loop•Intermediate
The AQI Analysis Agent is a powerful air quality monitoring and health recommendation tool powered by Firecrawl and Agno's AI Agent framework. This app helps users make informed decisions about outdoor activities by analyzing real-time...
Advanced AI Agents
Available
Codebase Migration & Refactor Planner (LangGraph)
Multi-Agent Hierarchical Collaboration•Advanced
An AI-powered multi-agent codebase migration assistant built with LangGraph and Streamlit that plans file-by-file refactoring tasks, performs human-in-the-loop (HITL) risk review, fans out parallel refactoring workers, and aggregates...
RAG Tutorials & Pipelines
Available
Deep Research Agent with OpenAI Agents SDK and Firecrawl
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A powerful research assistant that leverages OpenAI's Agents SDK and Firecrawl's deep research capabilities to perform comprehensive web research on any topic and any question.
Advanced AI Agents
Available
DevPulseAI Multi-Agent Signal Intelligence
Multi-Agent Hierarchical Collaboration•Intermediate
A reference implementation demonstrating how to build a multi-agent pipeline that aggregates technical signals from multiple sources, scores them for relevance, assesses risks, and synthesizes an actionable intelligence digest.
Advanced AI Agents
Available
GPT-OSS Advanced Critique & Improvement Loop
Autonomous ReAct Agent Loop•Intermediate
A Streamlit app demonstrating the "Automatic Critique + Improvement Loop" pattern using GPT-OSS via Groq. This demo implements an iterative quality improvement process.
Advanced AI Agents
Available
Multi-Agent Trust Layer - Secure Agent-to-Agent Communication
Multi-Agent Hierarchical Collaboration•Advanced
Learn how to build a trust layer for multi-agent systems that enables secure delegation, trust scoring, and policy enforcement between AI agents.
Advanced AI Agents
Available
Multimodal AI Coding Agent Team with o3-mini and Gemini
Multi-Agent Hierarchical Collaboration•Intermediate
An AI Powered Streamlit application that serves as your personal coding assistant, powered by multiple Agents built on the new o3-mini model. You can also upload an image of a coding problem or describe it in text, and the AI agent will...
Advanced AI Agents
Available
Self-Evolving AI Agent
Multi-Agent Hierarchical Collaboration•Intermediate
A multi-agent app built on EvoAgentX that turns a single natural-language goal into a working program. It automatically generates a.
Advanced AI Agents
Available
TripCraft AI - Agent Architecture
Multi-Agent Hierarchical Collaboration•Intermediate
TripCraft AI uses a sophisticated multi-agent system powered by Agno to create personalized travel experiences. This document explains the different agents and their roles in the system.
Advanced AI Agents
Available
Trust-Gated Multi-Agent Research Team
Multi-Agent Hierarchical Collaboration•Intermediate
Build a multi-agent research pipeline where every AI agent must pass a trust verification before participating, and every action is recorded in a hash-chained audit trail that is independently verifiable.
LLM Apps with Memory
Available
ai_customer_support_agent
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit app implements an AI-powered customer support agent for synthetic data generated using GPT-4o. The agent uses OpenAI's GPT-4o model and maintains a memory of past interactions using the Mem0 library with Qdrant as the...
Advanced AI Agents
Available
ai_email_gtm_outreach_agent
Multi-Agent Hierarchical Collaboration•Intermediate
An end-to-end, multi-agent Streamlit app that automates B2B outreach using GPT-5 and Exa. It discovers relevant companies, finds the right contacts (Founder's Office, GTM/Sales leadership, Partnerships/BD, Product Marketing), researches...
Advanced AI Agents
Available
ai_finance_agent_team
Multi-Agent Hierarchical Collaboration•Intermediate
cd advancedaiagents/multiagentapps/agentteams/aifinanceagentteam 4. Run the team of AI Agents.
Advanced AI Agents
Available
ai_investment_agent
Autonomous ReAct Agent Loop•Intermediate
This AI-powered investment agent is built with Agno's AgentOS framework that analyzes stocks and generates detailed investment reports. By using GPT-5.2 with Yahoo Finance data, this app provides valuable insights to help you make...
Advanced AI Agents
Available
ai_journalist_agent
Autonomous ReAct Agent Loop•Intermediate
This Streamlit app is an AI-powered journalist agent that generates high-quality articles using OpenAI GPT-4o. It automates the process of researching, writing, and editing articles, allowing you to create compelling content on any...
RAG Tutorials & Pipelines
Available
ai_meeting_agent
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
This Streamlit application leverages multiple AI agents to create comprehensive meeting preparation materials. It uses OpenAI's GPT-4, Anthropic's Claude, and the Serper API for web searches to generate context analysis, industry...
Advanced AI Agents
Available
ai_personal_finance_agent
Autonomous ReAct Agent Loop•Intermediate
This Streamlit app is an AI-powered personal finance planner that generates personalized financial plans using OpenAI GPT-4o. It automates the process of researching, planning, and creating tailored budgets, investment strategies, and...
Advanced AI Agents
Available
local_ai_legal_agent_team
Multi-Agent Hierarchical Collaboration•Intermediate
A open-source template for building local_ai_legal_agent_team within the Advanced AI Agents category, featuring modular AI integration and clean tool routing.
Advanced AI Agents
Available
local_chatgpt_clone
Autonomous ReAct Agent Loop•Intermediate
cd awesome-llm-apps/advancedtoolsframeworks/localchatgptclone 4. Expose the Llama-3 model as an OpenAI API by starting the server in LM Studio.
Advanced AI Agents
Available
multi_agent_researcher
Multi-Agent Hierarchical Collaboration•Intermediate
This Streamlit app empowers you to research top stories and users on HackerNews using a team of AI assistants with GPT-4o. cd advancedaiagents/multiagentapps/multiagentresearcher.
Agent Skills & Evaluations
Available
Commit Archaeologist Agent Skill
Autonomous ReAct Agent Loop•Intermediate
git blame tells you who last changed a line. Commit Archaeologist reconstructs finds the introducing commit, orders later modifications, classifies commit.
Agent Skills & Evaluations
Available
Dependency Doctor Agent Skill
Autonomous ReAct Agent Loop•Intermediate
Dependency Doctor inspects one dependency manifest for surface-level, direct-manifest footguns. It catches unpinned versions, standard-library.
Agent Skills & Evaluations
Available
Scope Creep Detector
Autonomous ReAct Agent Loop•Intermediate
Checks a working, staged, saved, or branch diff against a one-line intent. It flags unrelated paths, new dependencies, public API renames, config or CI.
Voice AI Agents
Available
Thinking Out Loud
Real-Time Streaming Voice Pipeline•Intermediate
Ramble at your agent by voice. Audit what it heard before it acts.
Framework Crash Courses
Available
6.1 Agent Lifecycle Callbacks
Autonomous ReAct Agent Loop•Beginner
61agentlifecyclecallbacks/ ├── agent.py # Agent with lifecycle callbacks ├── app.py # Streamlit web interface └── README.md # This file.
Framework Crash Courses
Available
Advanced Handoffs
Autonomous ReAct Agent Loop•Beginner
Demonstrates advanced handoff configuration including callbacks, structured inputs, and custom tool naming. cp ../env.example .env from agent import main.
Framework Crash Courses
Available
OpenAI SDK: Agents as Tools
Autonomous ReAct Agent Loop•Beginner
Demonstrates advanced orchestration patterns where agents are used as tools by other agents. cp ../env.example .env from agents import Runner.
Framework Crash Courses
Available
OpenAI SDK: Multi-Agent Delegation
Multi-Agent Hierarchical Collaboration•Beginner
Demonstrates advanced orchestration patterns where specialized agents are used as function tools by orchestrator agents. cp ../env.example .env.
Framework Crash Courses
Available
Basic Handoffs
Autonomous ReAct Agent Loop•Beginner
Demonstrates fundamental agent-to-agent task delegation using the OpenAI Agents SDK handoff system. cp ../env.example .env from agent import main.
LLM Apps with Memory
Available
Basic Sessions
Episodic & Long-Term Memory Architecture•Beginner
Demonstrates fundamental session memory management with SQLiteSession for automatic conversation history. cp ../env.example .env from agent import inmemorysessionexample, persistentsessionexample.
Framework Crash Courses
Available
Built-in Tools Agent
Autonomous ReAct Agent Loop•Beginner
Demonstrates using OpenAI Agents SDK built-in tools like WebSearchTool and CodeInterpreterTool. cp ../env.example .env from agents import Runner.
Framework Crash Courses
Available
Conversation Management
Autonomous ReAct Agent Loop•Beginner
Demonstrates manual conversation threading with toinputlist() and automatic management with Sessions. cp ../env.example .env from agent import manualconversationexample, sessionconversationexample.
Framework Crash Courses
Available
Custom Tracing
Multi-Agent Hierarchical Collaboration•Beginner
Demonstrates advanced tracing patterns including custom traces, spans, and workflow organization for complex multi-agent systems. cp ../env.example .env.
Framework Crash Courses
Available
Default Tracing
Autonomous ReAct Agent Loop•Beginner
Demonstrates the built-in automatic tracing system that captures all agent workflow events without any setup required. cp ../env.example .env.
Framework Crash Courses
Available
Execution Methods
Autonomous ReAct Agent Loop•Beginner
Demonstrates the three execution methods available in the OpenAI Agents SDK: sync, async, and streaming. cp ../env.example .env from agents import Runner.
MCP AI Agents
Available
Firecrawl Agent - Advanced Web Scraping with MCP
FastMCP Tool Server & Client Protocol•Beginner
Welcome to the Firecrawl MCP Agent! This powerful agent demonstrates how to integrate Firecrawl's advanced web scraping capabilities with Google ADK through the Model Context Protocol (MCP).
Framework Crash Courses
Available
Function Tools
Autonomous ReAct Agent Loop•Beginner
def calculatecompoundinterest(principal: float, rate: float, years: int) -> dict: Calculate compound interest for an investment. Use this function when users ask about investment growth.
Framework Crash Courses
Available
Function Tools Agent
Autonomous ReAct Agent Loop•Beginner
Demonstrates custom function tools creation using the @functiontool decorator. cp ../env.example .env from agents import Runner from agent import rootagent.
LLM Apps with Memory
Available
Memory Operations
Episodic & Long-Term Memory Architecture•Beginner
Demonstrates advanced session memory operations including item manipulation, conversation corrections, and session management. cp ../env.example .env.
Framework Crash Courses
Available
Multi Sessions
Autonomous ReAct Agent Loop•Beginner
Demonstrates managing multiple concurrent sessions for different users, contexts, and conversation types. cp ../env.example .env from agent import multiusersessions, contextbasedsessions.
Framework Crash Courses
Available
Parallel Execution
Autonomous ReAct Agent Loop•Beginner
Demonstrates running multiple agents simultaneously using asyncio.gather() for improved performance and quality through diversity. cp ../env.example .env.
Framework Crash Courses
Available
Personal Assistant Agent
Autonomous ReAct Agent Loop•Beginner
A basic personal assistant agent demonstrating the fundamental concepts of agent creation with the OpenAI Agents SDK. cp ../env.example .env from agents import Runner.
Framework Crash Courses
Available
Product Review Agent
Autonomous ReAct Agent Loop•Beginner
A complex structured output agent demonstrating advanced Pydantic schemas for product review analysis. cp ../env.example .env from agents import Runner.
Voice AI Agents
Available
Realtime Voice Agent
Real-Time Streaming Voice Pipeline•Beginner
A basic realtime voice agent example using OpenAI's Realtime API. This demonstrates the core components for ultra-low latency voice conversations with minimal setup.
Voice AI Agents
Available
Static Voice Agent
Real-Time Streaming Voice Pipeline•Beginner
A complete voice interaction example using the OpenAI Agents SDK with pre-recorded audio input. This demonstrates the basic voice pipeline workflow with speech-to-text, agent processing, and text-to-speech capabilities.
Voice AI Agents
Available
Streaming Voice Agent
Real-Time Streaming Voice Pipeline•Beginner
A real-time voice interaction example using the OpenAI Agents SDK with continuous audio streaming. This demonstrates advanced voice pipeline capabilities with live speech detection, real-time processing, and turn-based conversation...
Framework Crash Courses
Available
Support Ticket Agent
Autonomous ReAct Agent Loop•Beginner
A structured output agent demonstrating Pydantic schema-based responses for customer support ticket creation. cp ../env.example .env from agents import Runner.
RAG Tutorials & Pipelines
Available
Third-party Tools
Multi-Agent Hierarchical Collaboration•Beginner
Third-party tools allow you to integrate existing tool ecosystems from frameworks like LangChain, CrewAI, and others. This dramatically expands your agent's capabilities by leveraging battle-tested tools from the broader AI community.
Voice AI Agents
Available
Tutorial 11: Voice Agents
Real-Time Streaming Voice Pipeline•Beginner
Voice agents combine the power of AI language models with speech processing to create natural conversational interfaces. Think of voice agents as AI assistants you can talk to naturally that.
Framework Crash Courses
Available
Tutorial 1: Your First OpenAI Agent
Autonomous ReAct Agent Loop•Beginner
An OpenAI agent is a programmable AI assistant that can: Think of it as creating a smart function that uses AI to handle complex tasks.
Framework Crash Courses
Available
Tutorial 2: Model-Agnostic Agent
Autonomous ReAct Agent Loop•Beginner
Learn how to create agents that work with different AI models using OpenRouter. This example shows how ADK can use OpenAI and Anthropic models through separate agent implementations.
Framework Crash Courses
Available
Tutorial 2: Structured Output Agent
Autonomous ReAct Agent Loop•Beginner
Traditional AI responses are unstructured text, making them difficult to process programmatically. Structured outputs solve this by: ┌─────────────────────────────────────────────────────────────┐.
Framework Crash Courses
Available
Tutorial 3: Tool Using Agent
Autonomous ReAct Agent Loop•Beginner
Tools are functions that your agent can call to perform specific tasks. Think of them as the agent's "hands" - they allow the agent to: ┌─────────────────────────────────────────────────────────────┐.
Framework Crash Courses
Available
Tutorial 4: Running Agents
Autonomous ReAct Agent Loop•Beginner
When you call any Runner method, the SDK executes a sophisticated loop that handles the complete agent workflow: ┌─────────────────────────────────────────────────────────────┐.
LLM Apps with Memory
Available
Tutorial 5.1: In-Memory Conversation Agent
Episodic & Long-Term Memory Architecture•Beginner
InMemorySessionService stores session data in your computer's RAM (memory). This means: from google.adk.sessions import InMemorySessionService.
LLM Apps with Memory
Available
Tutorial 5.2: Persistent Conversation Agent
Autonomous ReAct Agent Loop•Beginner
DatabaseSessionService stores session data in a SQLite database file. This means: from google.adk.sessions import DatabaseSessionService ┌─────────────────────────────────────────────────────────────┐.
Framework Crash Courses
Available
Tutorial 5: Context Management
Autonomous ReAct Agent Loop•Beginner
Context management allows you to pass custom data structures to your agents that persist throughout the entire agent execution. Think of context as a shared state container that.
Framework Crash Courses
Available
Tutorial 6: Guardrails & Validation
Autonomous ReAct Agent Loop•Beginner
Guardrails are automated safety mechanisms that validate inputs and outputs to ensure AI agents operate within acceptable boundaries. Think of guardrails as safety checkpoints that.
Framework Crash Courses
Available
Tutorial 7: Plugins
Autonomous ReAct Agent Loop•Beginner
Plugins in Google ADK are custom code modules that can be executed at various stages of an agent workflow lifecycle using callback hooks. Unlike regular callbacks that are configured on individual agents or tools, plugins are registered...
LLM Apps with Memory
Available
Tutorial 7: Sessions & Memory Management
Episodic & Long-Term Memory Architecture•Beginner
Sessions provide automatic conversation memory that eliminates the need to manually handle .toinputlist() between turns. Think of sessions as a smart conversation database that.
Framework Crash Courses
Available
Tutorial 8: Handoffs & Delegation
Autonomous ReAct Agent Loop•Beginner
Handoffs enable agent specialization and delegation where agents can transfer tasks to other agents with specific expertise. Think of handoffs as a smart routing system that.
Framework Crash Courses
Available
Tutorial 8: Simple MultiAgent Researcher (Runs with ADK)
Autonomous ReAct Agent Loop•Beginner
A coordinator LlmAgent orchestrates three specialized agents in a sequential workflow: Research → Summarize → Critique. Each agent contributes to building a comprehensive research report.
Framework Crash Courses
Available
Tutorial 8: Tracing & Observability
Autonomous ReAct Agent Loop•Beginner
Tracing provides comprehensive workflow monitoring that automatically captures every event during agent execution: ┌─────────────────────────────────────────────────────────────┐.
Framework Crash Courses
Available
Tutorial 9.1: Sequential Agents - Business Implementation Plan Generator
Autonomous ReAct Agent Loop•Beginner
Business Topic → SequentialAgent → 4 Sub-agents (Sequential Execution) [Market Research + Web Search] → [SWOT Analysis] → [Strategy] → [Implementation].
Framework Crash Courses
Available
Tutorial 9.2: Loop Agents - Iterative Plan Refiner
Autonomous ReAct Agent Loop•Beginner
Topic → LoopAgent → [Refine Plan] → [Increment Iteration] → [Check Completion] ↑ │ └──────────────────────────── Repeat until stop ─────────┘.
Framework Crash Courses
Available
Tutorial 9.3: Parallel Agents - Market Snapshot Team
Multi-Agent Hierarchical Collaboration•Beginner
According to the ADK docs, Parallel Agents execute their sub-agents concurrently. Each child runs on its own invocation branch but shares the same session.state.
Framework Crash Courses
Available
Tutorial 9: Multi-Agent Orchestration
Multi-Agent Hierarchical Collaboration•Beginner
Multi-agent orchestration enables coordinated AI workflows where multiple specialized agents work together to solve complex problems. Think of orchestration as a conductor leading an orchestra where.
Always-On & Proactive Agents
Available
Release Radar Agent
Autonomous Event-Driven Background Worker•Intermediate
Release Radar is an always-on dependency briefing agent built with Google ADK. It reads requirements.txt or package.json, checks mapped dependencies against GitHub releases, and reports only changes that need attention: breaking...
Game Playing Agents
Available
AI 3D PyGame Visualizer with DeepSeek R1
Interactive Game Reasoning Agent•Intermediate
This Project demonstrates R1's code capabilities with a PyGame code generator and visualizer with browser use. The system uses DeepSeek for reasoning, OpenAI for code extraction, and browser automation agents to visualize the code on...
Game Playing Agents
Available
Agent White vs Agent Black: Chess Game
Interactive Game Reasoning Agent•Advanced
An advanced Chess game system where two AI agents play chess against each other using Autogen in a streamlit app. It is built with robust move validation and game state management.
Chat With X Tutorials
Available
Streaming AI Chatbot
Autonomous ReAct Agent Loop•Intermediate
A minimal example demonstrating real-time AI streaming and conversation state management using the Motia framework. streaming-ai-chatbot/.
Chat With X Tutorials
Available
chat_with_github
Autonomous ReAct Agent Loop•Intermediate
4. Get your GitHub Access Token.
Chat With X Tutorials
Available
chat_with_gmail
Autonomous ReAct Agent Loop•Intermediate
4. Get your OpenAI API Key.
Chat With X Tutorials
Available
chat_with_pdf
Autonomous ReAct Agent Loop•Intermediate
4. Run the Streamlit App streamlit run chatpdf.py https://github.com/Shubhamsaboo/awesome-llm-apps/assets/31396011/12bdfc11-c877-4fc7-9e70-63f21d2eb977.
RAG Tutorials & Pipelines
Available
chat_with_research_papers
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
This Streamlit app enables you to engage in interactive conversations with arXiv, a vast repository of scholarly articles, using GPT-4o. With this RAG application, you can easily access and explore the wealth of knowledge contained...
RAG Tutorials & Pipelines
Available
chat_with_substack
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
Streamlit app that allows you to chat with a Substack newsletter using OpenAI's API and the Embedchain library. This app leverages GPT-4 to provide accurate answers to questions based on the content of the specified Substack newsletter.
RAG Tutorials & Pipelines
Available
chat_with_youtube_videos
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
LLM app with RAG to chat with YouTube Videos with OpenAI's gpt-4o, mem0/embedchain as memory and the youtube-transcript-api. The app uses Retrieval Augmented Generation (RAG) to provide accurate answers to questions based on the content...
Generative UI & Frontends
Available
AI Dashboard Canvas Agent
Generative UI & Dynamic Artifact Engine•Advanced
https://github.com/user-attachments/assets/9201d528-573f-43cc-9d31-571c362318a7 An agent that populates live charts, metrics, and real-time data into a Canvas dashboard instead of just streaming text. Built with CopilotKit, AG-UI, and...
Generative UI & Frontends
Available
AI Deep Research Agent
Generative UI & Dynamic Artifact Engine•Advanced
A deep research assistant that plans, searches the web, writes to a virtual filesystem, and renders each tool call as a live card in a workspace pane. Built with CopilotKit, Deep Agents, AG-UI, and Tavily on top of Next.js + LangGraph...
Generative UI & Frontends
Available
AI Financial Coach Agent
Generative UI & Dynamic Artifact Engine•Advanced
A multi-agent financial coach that analyzes your budget, plans your savings, and builds debt-payoff strategies — rendered as interactive UI cards in a separate report tab. Built with CopilotKit, AG-UI, and Google's ADK on top of Next.js.
Generative UI & Frontends
Available
AI Knowledge Explorer
Generative UI & Dynamic Artifact Engine•Advanced
Drop files — documents or source code — into a chatbot. The agent extracts entities, concepts, and relationships (or modules, classes, functions, and dependencies), then renders an interactive knowledge graph you can explore.
Generative UI & Frontends
Available
AI Shadcn Component Generator
Generative UI & Dynamic Artifact Engine•Advanced
https://github.com/user-attachments/assets/b14bebd6-527a-48bd-94f5-d27fea8808aa Gen UI concept — schema-driven component composition. The full shadcn component schema is passed as agent context, so the model knows exactly which...
MCP AI Agents
Available
Example: Three.js App
FastMCP Tool Server & Client Protocol•Advanced
Interactive 3D scene renderer using Three.js. Demonstrates streaming code preview and full MCP App integration.
Generative UI & Frontends
Available
Generative UI Starter Project
Generative UI & Dynamic Artifact Engine•Advanced
A chat-driven kanban board where you and the agent work the same task list. Built with CopilotKit, AG-UI, and LangGraph on top of Next.js.
MCP AI Agents
Available
MCP Apps Generative UI Showcase
FastMCP Tool Server & Client Protocol•Advanced
https://github.com/user-attachments/assets/48eeab8d-7845-4d06-83ef-d518a807da03 Book flights, reserve hotels, manage portfolios, and run a kanban board — all inside the chat. Built with CopilotKit, AG-UI, and MCP Apps, showcasing the...
MCP AI Agents
Available
MCP Server built with mcp-use
FastMCP Tool Server & Client Protocol•Advanced
This is an MCP server project bootstrapped with create-mcp-use-app. First, run the development server.
MCP AI Agents
Available
Name
Generative UI & Dynamic Artifact Engine•Advanced
A open-source template for building name within the Generative UI & Frontends category, featuring modular AI integration and clean tool routing.
LLM Apps with Memory
Available
adk_career_coach_agent_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit app implements a multi-agent career coaching assistant built with Google's Agent Development Kit (ADK). A career orchestrator agent delegates each question to the right specialist sub-agent (resume, interview practice,...
LLM Apps with Memory
Available
ai_arxiv_agent_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit app implements an AI-powered research assistant that helps users search for academic papers on arXiv while maintaining a memory of user interests and past interactions. It utilizes OpenAI's GPT-4o-mini model for...
LLM Apps with Memory
Available
ai_travel_agent_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit app implements an AI-powered travel assistant that remembers user preferences and past interactions. It utilizes OpenAI's GPT-4o for generating responses and Mem0 with Qdrant for maintaining conversation history.
LLM Apps with Memory
Available
llm_app_personalized_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.
RAG Tutorials & Pipelines
Available
local_chatgpt_with_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit application implements a fully local ChatGPT-like experience using Llama 3.1, featuring personalized memory storage for each user. All components, including the language model, embeddings, and vector store, run locally...
LLM Apps with Memory
Available
multi_llm_memory
Episodic & Long-Term Memory Architecture•Intermediate
This Streamlit application demonstrates a multi-LLM system with a shared memory layer, allowing users to interact with different language models while maintaining conversation history and context across sessions.
LLM Fine-Tuning
Available
or latest Unsloth per their guidance
Parameter-Efficient Fine-Tuning (PEFT/LoRA)•Advanced
Minimal example to finetune Google's Gemma 3 Instruct models with Unsloth using 4-bit loading + LoRA. Small, readable, and runnable on a CUDA GPU.
MCP AI Agents
Available
Headroom - Context Optimization Layer
FastMCP Tool Server & Client Protocol•Intermediate
Reduce LLM API costs by 50-90% through intelligent context compression. Tool outputs are 70-95% redundant boilerplate—Headroom compresses that away while preserving accuracy.
LLM Optimization & Evaluation
Available
Toonify Token Optimization
LLM Evaluation & Structured Output Pipeline•Intermediate
Reduce LLM API costs by 30-60% using TOON (Token-Oriented Object Notation) format for structured data serialization. This app demonstrates how to use Toonify to dramatically reduce token usage when passing structured data to Large...
MCP AI Agents
Available
Browser MCP Agent
FastMCP Tool Server & Client Protocol•Intermediate
https://github.com/user-attachments/assets/a01e09fa-131b-479a-8df3-2d1a61fd80f3 A Streamlit application that allows you to browse and interact with websites using natural language commands through the Model Context Protocol (MCP) and...
MCP AI Agents
Available
GitHub MCP Agent
FastMCP Tool Server & Client Protocol•Intermediate
A Streamlit application that allows you to explore and analyze GitHub repositories using natural language queries through the Model Context Protocol (MCP).
MCP AI Agents
Available
Multi-MCP Intelligent Assistant
FastMCP Tool Server & Client Protocol•Intermediate
The Multi-MCP Intelligent Assistant is a powerful productivity tool that integrates multiple Model Context Protocol (MCP) servers to provide seamless access to GitHub, Perplexity, Calendar, and Gmail services through natural language...
MCP AI Agents
Available
Notion MCP Agent
FastMCP Tool Server & Client Protocol•Intermediate
A terminal-based Notion Agent for interacting with your Notion pages using natural language through the Notion MCP (Model Context Protocol) server.
MCP AI Agents
Available
OpenAI Remote MCP Tool Bridge
FastMCP Tool Server & Client Protocol•Intermediate
Learn how to connect a plain OpenAI function-calling loop to a hosted Streamable HTTP MCP server—without an agent framework. The script keeps the complete bridge visible.
MCP AI Agents
Available
ai_travel_planner_mcp_agent_team
FastMCP Tool Server & Client Protocol•Intermediate
A sophisticated Streamlit-based AI travel planning application that creates extremely detailed, personalized travel itineraries using multiple MCP servers and Google Maps integration. The app uses Airbnb MCP for real accommodation data...
RAG Tutorials & Pipelines
Available
Agentic RAG with GPT-5
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
An agentic RAG application built with the Agno framework, featuring GPT-5 and LanceDB for efficient knowledge retrieval and question answering.
MCP AI Agents
Available
Agentic RAG with Reasoning
FastMCP Tool Server & Client Protocol•Intermediate
You'll need the following API keys: streamlit run ragreasoningagent.py 4. Configure API Keys:.
RAG Tutorials & Pipelines
Available
AutoRAG: Autonomous RAG with GPT-4o and Vector Database
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
This Streamlit application implements an Autonomous Retrieval-Augmented Generation (RAG) system using OpenAI's GPT-4o model and PgVector database. It allows users to upload PDF documents, add them to a knowledge base, and query the AI...
RAG Tutorials & Pipelines
Available
Contextual AI RAG Agent
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A Streamlit app that integrates Contextual AI's managed RAG platform. Create a datastore, ingest documents, spin up an agent, and chat grounded on your data.
RAG Tutorials & Pipelines
Available
Corrective RAG Agent
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A sophisticated Retrieval-Augmented Generation (RAG) system that implements a corrective multi-stage workflow using LangGraph. This system combines document retrieval, relevance grading, query transformation, and web search to provide...
RAG Tutorials & Pipelines
Available
Math Tutor Agent Agentic RAG with Feedback Loop
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
An open-source agentic RAG system for mathematical problem solving and symbolic reasoning using LLMs and calculation tools.
RAG Tutorials & Pipelines
Available
RAG Agent with Cohere R
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A RAG Agentic system built with Cohere's new model Command-r7b-12-2024, Qdrant for vector storage, Langchain for RAG and LangGraph for orchestration. This application allows users to upload documents, ask questions about them, and get...
RAG Tutorials & Pipelines
Available
RAG Agent with Database Routing
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A Streamlit application that demonstrates an advanced implementation of RAG Agent with intelligent query routing. The system combines multiple specialized databases with smart fallback mechanisms to ensure reliable and accurate...
RAG Tutorials & Pipelines
Available
RAG App with Hybrid Search
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A powerful document Q&A application that leverages Hybrid Search (RAG) and Claude's advanced language capabilities to provide comprehensive answers. Built with RAGLite for robust document processing and retrieval, and Streamlit for an...
RAG Tutorials & Pipelines
Available
RAG Failure Diagnostics Clinic
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
A small, framework-agnostic RAG failure diagnostics clinic. You paste a real bug description from your LLM + RAG pipeline.
RAG Tutorials & Pipelines
Available
Typed Agentic RAG with Pydantic AI
Hybrid Retrieval Augmented Generation (RAG)•Intermediate
This Streamlit app answers questions from uploaded PDFs or a documentation URL. Every response is a validated Answer object with exact source quotes, chunk IDs.
Starter AI Agents
Available
AI Data Analysis Agent
Single-Agent ReAct Tool-Calling Loop•Beginner
An AI data analysis Agent built using the Agno Agent framework and Openai's gpt-4o model. This agent helps users analyze their data - csv, excel files through natural language queries, powered by OpenAI's language models and DuckDB for...
Starter AI Agents
Available
AI Meme Generator Agent - Browser Use
Single-Agent ReAct Tool-Calling Loop•Beginner
The AI Meme Generator Agent is a powerful browser automation tool that creates memes using AI agents. This app combines multi-LLM capabilities with automated browser interactions to generate memes based on text prompts through direct...
RAG Tutorials & Pipelines
Available
Life Insurance Coverage Advisor Agent
Hybrid Retrieval Augmented Generation (RAG)•Beginner
A Streamlit application that helps users estimate the amount of term life insurance they may need and surfaces currently available policy options. The app is powered by the Agno agent framework, uses OpenAI GPT-5 as the LLM, the E2B...
RAG Tutorials & Pipelines
Available
OpenAI Researcher Agent
Hybrid Retrieval Augmented Generation (RAG)•Beginner
A multi-agent research application built with OpenAI's Agents SDK and Streamlit. This application enables users to conduct comprehensive research on any topic by leveraging multiple specialized AI agents.
Starter AI Agents
Available
Web Scraping AI Agent
Single-Agent ReAct Tool-Calling Loop•Beginner
AI-powered web scraping using ScrapeGraphAI - extract structured data from websites using natural language prompts. This agent runs locally with the open-source scrapegraphai library.
Starter AI Agents
Available
ai_blog_to_podcast_agent
Single-Agent ReAct Tool-Calling Loop•Beginner
This is a Streamlit-based application that allows users to convert any blog post into a podcast. The app uses OpenAI's GPT-4 model for summarization, Firecrawl for scraping blog content, and ElevenLabs API for generating audio.
Starter AI Agents
Available
ai_music_generator_agent
Single-Agent ReAct Tool-Calling Loop•Beginner
This is a Streamlit-based application that allows users to generate music using the ModelsLab API and OpenAI's GPT-4 model. Users can input a prompt describing the type of music they want to generate, and the application will generate a...
Starter AI Agents
Available
xai_finance_agent
Single-Agent ReAct Tool-Calling Loop•Beginner
This application creates a financial analysis agent powered by xAI's Grok model, combining real-time stock data with web search capabilities. It provides structured financial insights through an interactive playground interface.
Voice AI Agents
Available
Customer Support Voice Agent
Real-Time Streaming Voice Pipeline•Advanced
An OpenAI SDK powered customer support agent application that delivers voice-powered responses to questions about your knowledge base using OpenAI's GPT-4o and TTS capabilities. The system crawls through documentation websites with...
Voice AI Agents
Available
Self-Guided AI Audio Tour Agent
Real-Time Streaming Voice Pipeline•Advanced
A conversational voice agent system that generates immersive, self-guided audio tours based on the user’s location, areas of interest, and tour duration. Built on a multi-agent architecture using OpenAI Agents SDK, real-time information...
Voice AI Agents
Available
voice_rag_openaisdk
Real-Time Streaming Voice Pipeline•Advanced
This script demonstrates how to build a voice-enabled Retrieval-Augmented Generation (RAG) system using OpenAI's SDK and Streamlit. The application allows users to upload PDF documents, ask questions, and receive both text and voice...