• In this video, the presenter shows you how to use an AI-powered n8n workflow that builds full automation workflows for you — just from a chat prompt (check out N8Nchat too!). Whether you're an automation pro or just getting started, this tool will save you time and make building in n8n way easier.

    Powered by OpenAI and LangChain, this workflow takes your request, generates valid JSON, validates it, and instantly deploys it to your n8n instance.

    No more manually creating node-by-node logic
    No need to guess node structures or expressions
    Fully customizable system prompt for your use case

    https://www.youtube.com/watch?v=S724Lg4C_Qc&ab_channel=AlexK1919

    #n8n #n8nchat #openai #langchain #automation #workflowautomation #nocode #lowcode #ai #json #automationpro #zapier #make #integrately #powerautomate #chatprompt #aidevelopment #ainocode #aiworkflow #fullycustomizable
    In this video, the presenter shows you how to use an AI-powered n8n workflow that builds full automation workflows for you — just from a chat prompt (check out N8Nchat too!). Whether you're an automation pro or just getting started, this tool will save you time and make building in n8n way easier. 🧠 Powered by OpenAI and LangChain, this workflow takes your request, generates valid JSON, validates it, and instantly deploys it to your n8n instance. ✅ No more manually creating node-by-node logic ✅ No need to guess node structures or expressions ✅ Fully customizable system prompt for your use case https://www.youtube.com/watch?v=S724Lg4C_Qc&ab_channel=AlexK1919 #n8n #n8nchat #openai #langchain #automation #workflowautomation #nocode #lowcode #ai #json #automationpro #zapier #make #integrately #powerautomate #chatprompt #aidevelopment #ainocode #aiworkflow #fullycustomizable
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  • MarkItDown - Make any document AI friendly (by microsoft)

    MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies.

    https://github.com/microsoft/markitdown

    Someone created a pallatform for this here:
    https://markitdown.pro/

    #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    MarkItDown - Make any document AI friendly (by microsoft) MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies. https://github.com/microsoft/markitdown Someone created a pallatform for this here: https://markitdown.pro/ #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
    github.com
    Python tool for converting files and office documents to Markdown. - microsoft/markitdown
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  • A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes.

    n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively.

    Main Function Points
    - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions
    - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes
    - Offers a range of tools for node discovery, configuration, validation, and workflow management
    - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment

    https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ
    https://www.n8n-mcp.com/
    https://github.com/czlonkowski/n8n-mcp

    #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT
    A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes. n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively. Main Function Points - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes - Offers a range of tools for node discovery, configuration, validation, and workflow management - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ https://www.n8n-mcp.com/ https://github.com/czlonkowski/n8n-mcp #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT
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  • AgentDevs community focuses on a wide range of AI agents and tools designed for various applications such as web data collection, content automation, and task management. It highlights innovative resources like an AI-powered newsletter creator, Google Agent Development Kit examples, and automation frameworks for managing tasks across platforms like YouTube and Instagram. The platform serves as a valuable hub for developers seeking to leverage AI technologies for efficient application development and automation.

    Key Points
    - The AgentDevs platform features 122 AI agents and 40 new tools introduced this week, providing a vast resource for developers.
    - An AI-powered newsletter creator enables users to automate newsletter production by intelligently selecting and processing news content.
    - The Google Agent Development Kit (ADK) offers structured examples for beginners to familiarize themselves with agent development practices.
    - The ADK Short Bot facilitates message shortening using Google's advanced AI, improving clarity in communications.
    - A Vertex AI RAG Document Management Agent allows users to manage documents through natural language queries, streamlining document retrieval and organization.
    - The CrewAI RAG PDF and YouTube Data Processor enhances information extraction and management of workflows related to different content formats.
    - The Python Flow Management with CrewAI provides detailed instructions for managing project environments and dependencies in Python for both beginners and experienced developers.

    https://www.agentdevs.io/

    #AgentDevs #AIagents #AITools #WebDataCollection #ContentAutomation #TaskManagement #AINewsletterCreator #GoogleADK #VertexAI #CrewAI #RAG #Python #AutomationFramework #ADKShortBot #AgentDevelopment #NoCodeAI #Bard #Langchain #AutoGPT #Flowise #AICreator #DataExtraction #DocumentManagement
    AgentDevs community focuses on a wide range of AI agents and tools designed for various applications such as web data collection, content automation, and task management. It highlights innovative resources like an AI-powered newsletter creator, Google Agent Development Kit examples, and automation frameworks for managing tasks across platforms like YouTube and Instagram. The platform serves as a valuable hub for developers seeking to leverage AI technologies for efficient application development and automation. Key Points - The AgentDevs platform features 122 AI agents and 40 new tools introduced this week, providing a vast resource for developers. - An AI-powered newsletter creator enables users to automate newsletter production by intelligently selecting and processing news content. - The Google Agent Development Kit (ADK) offers structured examples for beginners to familiarize themselves with agent development practices. - The ADK Short Bot facilitates message shortening using Google's advanced AI, improving clarity in communications. - A Vertex AI RAG Document Management Agent allows users to manage documents through natural language queries, streamlining document retrieval and organization. - The CrewAI RAG PDF and YouTube Data Processor enhances information extraction and management of workflows related to different content formats. - The Python Flow Management with CrewAI provides detailed instructions for managing project environments and dependencies in Python for both beginners and experienced developers. https://www.agentdevs.io/ #AgentDevs #AIagents #AITools #WebDataCollection #ContentAutomation #TaskManagement #AINewsletterCreator #GoogleADK #VertexAI #CrewAI #RAG #Python #AutomationFramework #ADKShortBot #AgentDevelopment #NoCodeAI #Bard #Langchain #AutoGPT #Flowise #AICreator #DataExtraction #DocumentManagement
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  • marketplace.agen.cy provides an overview of various AI agents, showcasing a range of partners and their specific capabilities, such as vacation planning and personal assistance. It highlights the integration of frameworks like AutoGen and LangChain to enhance agent functionalities, focusing on their diverse applications in productivity, customer service, and digital assistance. Additionally, the document illustrates the significance of these AI agents across various sectors and their potential to revolutionize tasks through automation and intelligent decision-making.

    https://marketplace.agen.cy/agents
    https://marketplace.agen.cy/home

    #AIagents #AutoGen #LangChain #marketplaceagency #AIassistants #vacationplanning #personalaides #automation #customerservice #digitalassistance #productivitytools #AIintegration
    marketplace.agen.cy provides an overview of various AI agents, showcasing a range of partners and their specific capabilities, such as vacation planning and personal assistance. It highlights the integration of frameworks like AutoGen and LangChain to enhance agent functionalities, focusing on their diverse applications in productivity, customer service, and digital assistance. Additionally, the document illustrates the significance of these AI agents across various sectors and their potential to revolutionize tasks through automation and intelligent decision-making. https://marketplace.agen.cy/agents https://marketplace.agen.cy/home #AIagents #AutoGen #LangChain #marketplaceagency #AIassistants #vacationplanning #personalaides #automation #customerservice #digitalassistance #productivitytools #AIintegration
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  • Awesome AI Agent Directories repository is a comprehensive list of the best AI agent directories available online. It includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. The project aims to help developers, researchers, and entrepreneurs discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem.

    It contains a comprehensive list of the best AI agent directories available online. This curated collection includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. Whether you're a developer, researcher, or entrepreneur, this list helps you discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem.

    https://github.com/alternbits/awesome-ai-agents-directories

    #AIagentdirectories #AIagents #AIframeworks #AItools #GitHub #alternbits #AwesomeAI #AIDiscovery #AIIntegration #OpenAI #Langchain #Agentverse #AIecosystem #AIresearch #AIDevelopment
    Awesome AI Agent Directories repository is a comprehensive list of the best AI agent directories available online. It includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. The project aims to help developers, researchers, and entrepreneurs discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. It contains a comprehensive list of the best AI agent directories available online. This curated collection includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. Whether you're a developer, researcher, or entrepreneur, this list helps you discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. https://github.com/alternbits/awesome-ai-agents-directories #AIagentdirectories #AIagents #AIframeworks #AItools #GitHub #alternbits #AwesomeAI #AIDiscovery #AIIntegration #OpenAI #Langchain #Agentverse #AIecosystem #AIresearch #AIDevelopment
    GitHub - alternbits/awesome-ai-agents-directories: A comprehensive list of top best AI agents directories available online
    github.com
    A comprehensive list of top best AI agents directories available online - alternbits/awesome-ai-agents-directories
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  • How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit

    VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming.

    Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation.

    100% Opensource.

    https://www.vibekit.sh/

    #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    How can you run many powerful coding agent for your app safely in a secure customizable Sandbox ? VibeKit VibeKit is an SDK that allows developers to safely run powerful coding agents like Codex, Gemini CLI, and Claude Code in secure, customizable sandboxes. It provides a drop-in solution for executing code in the cloud, with features like GitHub automation, prompt history, and real-time output streaming. Embed Claude Code, OpenAI Codex, Gemini CLI, and Opencode directly into your app with sandboxing, streaming output, and built-in GitHub automation. 100% Opensource. https://www.vibekit.sh/ #VibeKit #Codex #GeminiCLI #ClaudeCode #codingagents #SDK #sandboxing #githubautomation #opencode #realtimeoutput #promptengineering #securecoding #cloudcoding #opensource #airesearch #AItools #codeexecution #LangChain #AutoGPT
    VibeKit - Run Coding Agents in a Secure Sandbox
    www.vibekit.sh
    Run Claude Code and other coding agents in a secure sandbox. Embed Claude Code, Codex, Gemini CLI, or OpenCode in your app with E2B, Daytona support.
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  • Check this Repo out !

    Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts.

    #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions

    https://github.com/Shubhamsaboo/awesome-llm-apps
    Check this Repo out ! Shubham Saboo's GitHub repository hosts a collection of LLM Apps. These applications leverage large language models (LLMs) from various providers, including OpenAI, Anthropic, and Google, and open-source models. The apps incorporate Retrieval-Augmented Generation (RAG), AI agents, multi-agent teams, and voice agent technologies. This curated list is a valuable resource for exploring the capabilities and applications of LLMs in different contexts. #AwesomeLLMApps #LLM #LargeLanguageModels #OpenAI #Anthropic #GoogleAI #RAG #RetrievalAugmentedGeneration #AIAgents #MultiAgentTeams #VoiceAgents #GitHub #MachineLearning #NLP #AI #Langchain #LlamaIndex #DeepLearning #AISolutions https://github.com/Shubhamsaboo/awesome-llm-apps
    GitHub - Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
    github.com
    Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. - Shubhamsaboo/awesome-llm-apps
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  • So whats the next big fad .... "Context Engineering".
    So WHAT IS CONTEXT ENGINEERING?

    𝟭. It’s Feature Engineering—but for AI Agents.
    (*Check what's feature engineering down below)
    𝟮. The art of filling the context window with exactly what’s needed.
    𝟯. You’re managing “working memory” like an operating system manages RAM.
    𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback.
    𝟱. Poor context = forgotten steps, broken tools, bad decisions.
    𝟲. Long-running agents hit context limits fast—engineering is essential.
    𝟳. Vibe coding doesn’t scale—context engineering does.

    In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs.

    Check the following links for context:
    - Langchain Explanation on what it is:
    https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T
    - First post l saw talking about this was by Andrej Karpathy (@karpathy):
    https://x.com/karpathy/status/1937902205765607626
    - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !:
    https://x.com/MaryamMiradi/status/1940810454013518178

    #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling
    So whats the next big fad .... "Context Engineering". So WHAT IS CONTEXT ENGINEERING? 𝟭. It’s Feature Engineering—but for AI Agents. (*Check what's feature engineering down below) 𝟮. The art of filling the context window with exactly what’s needed. 𝟯. You’re managing “working memory” like an operating system manages RAM. 𝟰. Agents need engineered context: instructions, tools, memories, examples, feedback. 𝟱. Poor context = forgotten steps, broken tools, bad decisions. 𝟲. Long-running agents hit context limits fast—engineering is essential. 𝟳. Vibe coding doesn’t scale—context engineering does. In the context of AI prompting, feature engineering refers to the process of creating, selecting, and transforming input data (features) to improve the performance of a machine learning model. It involves using domain expertise and various techniques to make the data more suitable for the AI model to learn from and generate better outputs. Check the following links for context: - Langchain Explanation on what it is: https://youtu.be/4GiqzUHD5AA?si=BEIThE_HOT-i3I9T - First post l saw talking about this was by Andrej Karpathy (@karpathy): https://x.com/karpathy/status/1937902205765607626 - And you may wish to follow this lady she dove right into it detail ... never mind hte course it hella expensive !: https://x.com/MaryamMiradi/status/1940810454013518178 #contextengineering #featureengineering #aiagents #langchain #promptengineering #aioptimization #machinelearning #contextwindow #workingmemory #aiprompting #vibecoding #aiperformance #contextualization #aitraining #aiscaling
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  • DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents.

    #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent

    https://deepagent.abacus.ai/
    DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents. #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent https://deepagent.abacus.ai/
    0 Comments ·0 Shares ·573 Views
  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    Resources:
    Get Started → https://google.github.io/adk-docs
    Sample Agents → https://goo.gle/3Rbdo4s

    Subscribe to Google for Developers → https://goo.gle/developers

    #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
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  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic

    https://youtu.be/zgrOwow_uTQ
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic https://youtu.be/zgrOwow_uTQ
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