Its happening ... guess who is coming for Make.com and N8N ? A Agent that can buil itself ... at leasst other agents 😄 Emergence AI unveiled “The Emergence Orchestrator (TEO),” an AI System that enables AI Agents to build other AI Agents. Check it out Here => https://www.emergence.ai/ Key Details: - “TEO” allows you to type a comprehensive text prompt outlining the work you’re trying to accomplish. Then, it creates AI Agents to do it for you. - “TEO” maintains a registry of existing AI Agents with various capabilities, ranging from data extraction to sentiment analysis and API Integrations. - If no suitable AI Agents exist in the registry for the work you’re trying to accomplish, “TEO” autonomously generates new AI Agents specifically tailored for your workflows. - Imagine you’re trying to analyze customer support tickets from this past year. “TEO” can develop a Multi-Agent Framework that deploys more than a half-dozen AI Agents to: * Determine the top five most frequent complaint categories. * Summarize customer pain points in each complaint category. * Identify correlations between complaint volume and specific products or services. * Create an AI Agent that monitors new incoming customer support tickets. * Create an AI Agent that summarizes the weekly trends of customer support tickets. Why It’s Important: Emergence AI secured a $97.2 million Series C in 2024 to pioneer Recursive Intelligence: AI Systems that improve, analyze, understand, enhance, and modify themselves. “TEO” unlocks unprecedented levels of task automation. Imagine AI Agents that don’t just execute your workflows but also design and execute their own workflows. 🚨Watch “TEO” in action here => https://vimeo.com/1071469745/fcee9abfce Links to ollow: - https://www.emergence.ai/test-automation - -

Amazon just introduced “Nova,” a family of five new AI Systems and a new AI Framework for deploying AI Agents to browse websites autonomously. Key Details: 1. Nova Micro: A Text-Only AI System that’s optimized for generating low-latency outputs at a very low cost. 2. Nova Lite: A Multimodal AI System that’s lightning-fast at processing text, image, and video inputs to generate text outputs. 3. Nova Pro: A highly capable Multimodal AI System with the best combination of accuracy, speed, and cost to deploy AI Agents that execute multi-step workflows. 4. Nova Canvas: An Image Generation AI System that turns brief text inputs into high-quality image outputs. 5. Nova Reel: A Video Generation AI System that turns descriptive text inputs or image inputs into high-quality video outputs. 6. Nova Act: An AI Framework that enables developers to build AI Agents that autonomously click, scroll, type, browse, and navigate websites for you. Why It’s Important: - Amazon’s investing heavily in GenAI applications, including: - Rufus: A Personal Shopping Assistant that helps you discover the best products to meet your needs. - Alexa+: A Personal Voice Assistant that proactively books flights, purchases tickets, or manages subscriptions. - Amazon Q: A Personal Business Assistant that debugs code, crafts emails, or summarizes documents. They plan to spend over $100 billion in Capital Expenditures (CapEx) this year to acquire more AI Talent, build Data Centers, and buy Cutting-Edge GPUs. Amazon’s building a complete AI Ecosystem to be the best option for businesses. https://www.aboutamazon.com/news/innovation-at-amazon/amazon-nova-website-sdk

Explore 1000+ workflow templates submitted by our global creator community https://n8n.io https://n8n.io/workflows/ - check this one out all the templates growing in numbers everyday ! #n8n #workflows #automation #make.com #make_competition

MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol. Resources & Links: 🔗 OpenMCP GitHub: https://github.com/CopilotKit/open-mc... 🔗 Composio.dev (MCP Server Library): https://mcp.composio.dev/ 🔗 Notion Guide (Documentation): https://composio.notion.site/Cursor-M... Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows. In this video, I cover: ✅ What MCP and model context protocol are all about ✅ Why OpenMCP is a game-changer for AI and automation ✅ Hands-on demos with popular tools like Gmail, Notion, and Google Drive ✅ How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems ✅ A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks! https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_

Start your AI training with our free No-Code AI Toolkit… 2 Tools and 5-Use Cases To Power Your Existing Business Workflows One-Click Access, No Opt-In. https://innovatingwithai.com/welcome-toolkit/

Website: https://www.edenai.co/ Docs: https://docs.edenai.co/docs/quickstar... With Eden AI, you can seamlessly access 100+ AI models, build advanced workflows, and integrate RAG (Retrieval-Augmented Generation), all within a simple, intuitive interface. Whether you're automating tasks, designing AI models, or working on complex applications, Eden AI provides everything you need to streamline your development process. In this video, you’ll learn: How Eden AI gives you unified access to powerful AI models through a single API. How to effortlessly design custom workflows using Eden AI’s drag-and-drop interface. The power of combining multiple AI models in a single workflow for improved accuracy and efficiency. The convenience of no-code app development that eliminates the need for technical expertise. Why Eden AI’s integrated tools and features make it the best choice for modern AI developers. Whether you're a beginner or an experienced developer, Eden AI's versatile platform makes building, testing, and deploying AI applications easier than ever. Don't miss out on this game-changing technology! https://youtu.be/gfNx7gGitlo?si=ANCEHf-uR5LbNLog #EdenAI #AIPlatform #NoCodeDevelopment #AIAutomation #MachineLearning #AppDevelopment #AIModels #WorkflowAutomation #TechInnovation #MultiAPISystem #AI #FullStackAI

https://youtu.be/TfqioNAP1W4?si=BaUNulKcAGQq1axA In this video, I’ll show you the simplest method to equip your AI agents with tools in seconds, using nothing but natural language! With this approach, you can spin up advanced AI agents in minutes, allowing them to take action, retrieve data, and automate workflows effortlessly. Whether you're a beginner or more advanced, this method makes building AI agents easier than ever.

UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules. Useful Links: - https://github.com/bytedance/UI-TARS?tab=readme-ov-file - https://github.com/bytedance/UI-TARS/blob/main/README.md - https://sourceforge.net/projects/ui-tars-desktop.mirror/ - https://www.producthunt.com/posts/ui-tars-desktop -

https://astral.sh/ Useful Links: - https://docs.astral.sh/uv/getting-started/ - https://www.datacamp.com/tutorial/python-uv - https://www.mrcoder701.com/2024/08/04/how-to-create-python-virtual-environment-with-uv/ UV is a modern, high-performance Python package manager and installer written in Rust. It serves as a drop-in replacement for traditional Python package management tools like pip, offering significant improvements in speed, reliability, and dependency resolution. This tool represents a new generation of Python package managers, designed to address common pain points in the Python ecosystem such as slow installation times, dependency conflicts, and environment management complexity. UV achieves this through its innovative architecture and efficient implementation, making it 10-100 times faster than traditional package managers. Key features that make UV stand out: Lightning-fast package installation and dependency resolution Compatible with existing Python tools and workflows Built-in virtual environment management Support for modern packaging standards Reliable dependency locking and reproducible environments Memory-efficient operation, especially for large projects Whether working on small personal projects or managing large-scale Python applications, UV provides a robust and efficient solution for package management. In this tutorial, we will cover all essential aspects of UV so you can start using it immediately. #browser_use #computer_use #astral #uv #python_package_manager

https://youtu.be/E05tO8ic45E?si=9oBYRCL5G8_Y7QgW Ultimate Guide to Building and Automating with DeepSeek R1 - Game Development, Web Projects & More In this comprehensive tutorial, learn how to utilize DeepSeek R1 to build and automate a variety of projects, from games to websites. Starting with chat.deepseek.com, users can create diverse applications with a single prompt. This video covers running DeepSeek R1 locally via Olama for faster and offline usage, and exploring multiple models for varying performance. Additional tools like Bolt DIY and Make.com are demonstrated for creating useful applications and automating workflows. Discover how to seamlessly integrate DeepSeek R1 into different environments, including browser web UIs for advanced automation. Whether you're developing complex apps or seeking to enhance productivity, this guide provides all the steps and insights needed to master DeepSeek R1.

https://www.freecodecamp.org/news/learn-generative-ai-in-23-hours/ Artificial Intelligence is revolutionizing industries and workflows, and learning to work with AI in the cloud is an important skill for modern developers. Whether you're a beginner or looking to deepen your understanding of generative AI, this course is your all-in-one guide to mastering the development lifecycle of AI systems.