Tutorial 11: Voice Agents
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.
Measuring velocity across repository star trajectories, fork activity, and anonymous aggregate UtilityHub discovery signals. Differentiating long-term popularity from fast-rising momentum.
Trend signals combine recent repository activity with aggregate UtilityHub engagement. Rankings are directional indicators, not endorsements or official GitHub rankings.
Top-ranked projects combining star velocity, discovery views, and outbound engagement.
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.
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.
4. Run the Streamlit App streamlit run chatpdf.py https://github.com/Shubhamsaboo/awesome-llm-apps/assets/31396011/12bdfc11-c877-4fc7-9e70-63f21d2eb977.
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.
The AI Reasoning Agent leverages advanced AI models to provide insightful reasoning and decision-making capabilities. This agent is designed to assist users in various analytical tasks by processing information and generating structured...
Tool execution callbacks allow you to monitor when agents use tools, track their execution lifecycle, and analyze the results. This provides visibility into how agents interact with external systems and APIs.
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.
Projects experiencing the highest percentage surge in 7-day builder interest.
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.
Demonstrates using OpenAI Agents SDK built-in tools like WebSearchTool and CodeInterpreterTool. cp ../env.example .env from agents import Runner.
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.
A RAG Agentic system built with the new Gemini 2.0 Flash Thinking model and gemini-exp-1206, Qdrant for vector storage, and Agno (phidata prev) for agent orchestration. This application features intelligent query rewriting, document...
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...
Every developer has the folder. Twenty-something dead projects, each abandoned for reasons nobody wrote down.
InMemorySessionService stores session data in your computer's RAM (memory). This means: from google.adk.sessions import InMemorySessionService.
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.
Architectures receiving the highest total page reads and inspection sessions.
A powerful reasoning agent that combines local Deepseek models with RAG capabilities. Built using Deepseek (via Ollama), Snowflake for embeddings, Qdrant for vector storage, and Agno for agent orchestration, this application offers both...
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...
The AI Health & Fitness Planner is a personalized health and fitness Agent powered by Agno AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level,...
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...
The AI Reasoning Agent leverages advanced AI models to provide insightful reasoning and decision-making capabilities. This agent is designed to assist users in various analytical tasks by processing information and generating structured...
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...
This app allows you to upload a Resume and a Job Description, then uses an LLM to: A great tool for job seekers to optimize resumes for each application.
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...
Blueprints driving developers to clone, star, or inspect source files on GitHub.
The AI Health & Fitness Planner is a personalized health and fitness Agent powered by Agno AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level,...
The AI Reasoning Agent leverages advanced AI models to provide insightful reasoning and decision-making capabilities. This agent is designed to assist users in various analytical tasks by processing information and generating structured...
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...
A multi-agent system built with Google ADK that analyzes photos of your space, creates personalized renovation plans, and generates photorealistic renderings using Gemini 3 Flash and Gemini 3 Pro's multimodal capabilities.
A powerful reasoning agent that combines local Deepseek models with RAG capabilities. Built using Deepseek (via Ollama), Snowflake for embeddings, Qdrant for vector storage, and Agno for agent orchestration, this application offers both...
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...
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...
The AI SEO Audit Team is an autonomous, multi-agent workflow built with Google ADK. It takes a webpage URL, crawls the live page, researches real-time SERP competition, and produces a polished, prioritized SEO optimization report.
Recently indexed implementations demonstrating strong growth in early search queries.
Learn how to build a governance layer that enforces deterministic policies on AI agents, preventing dangerous actions before they execute..
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...
A powerful business consultant powered by Google's Agent Development Kit that provides comprehensive market analysis, strategic planning, and actionable business recommendations with real-time web research.
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...
An intelligent, fully automated B2B outreach system that discovers companies, finds decision makers, researches company intelligence, and generates personalized cold emails using AI agents.
The AI Financial Coach is a personalized financial advisor powered by Google's ADK (Agent Development Kit) framework. This app provides comprehensive financial analysis and recommendations based on user inputs including income,...
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...
The AI Health & Fitness Planner is a personalized health and fitness Agent powered by Agno AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level,...
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