https://modelcontextprotocol.io/introduction MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. Useful links *https://github.com/modelcontextprotocol/servers *https://github.com/modelcontextprotocol

https://www.pulsemcp.com/ Browse and discover MCP servers, clients, resources, and news. The Model Context Protocol (MCP) ecosystem evolves daily. Just as HTTP standardized web communications, MCP creates a universal protocol for AI systems to interact with the world's data - securely, reliably, and at scale. Useful Links *https://www.pulsemcp.com/clients *https://www.pulsemcp.com/servers

https://www.vccafe.com/2024/09/26/ai-agents-the-evolution-of-rpa/?amp This article discusses the AI Agent Frameworks for 2024. The 2024 AI Agent Ecosystem framework provides a useful categorisation of the emerging layers in AI development: Ecosystem Layer: Foundational models (like OpenAI’s GPT) and enterprise tools form the bedrock. Application Layer: Thousands of companies will build agent apps, leveraging multimodal capabilities and no-code tools. Management Layer: Critical functions include managing AI agents, securing permissions, and enabling payments. Data Layer: AI agents will rely on both exclusive private data and public datasets.

https://www.blaze.ai/ The why behind Blaze is really a who: Blaze is built for the founders, freelancers, and teams of one who want to grow their businesses faster on the internet. Every entrepreneur knows that to succeed, they need to do great marketing—but they all feel overwhelmed by the time, effort, and knowledge it takes to market and sell online. But even as AI has taken the world by storm, no one had designed a tool for them. Until now. Blaze exists to help anyone realize the vision the internet has long promised: that you can achieve success, freedom, and control over your future, regardless of who you are or where you're from. All you need is a good idea and some old fashioned hustle.

https://n8n.io/ n8n is a free and open node-based Workflow Automation Tool. It can be self-hosted, easily extended, and used with third party web applications or custom in-house tools to automate repetitive tasks. With n8n, for the first time, people can move beyond simple integrations to build multi-step workflows that combine both 3rd party APIs and your own internal tools to create easy to use automations that snap together all the pieces of what would otherwise be very complex, disconnected systems. n8n is headquartered in Berlin and was founded by Jan Oberhauser in 2019. Useful Links https://youtu.be/XQPUnVEvh10?si=bTCEwibKtYlNExAf https://youtu.be/UwemeU5uKXM?si=J6yCmyNR3wjg-gaT

https://aide.dev/ Aide is the Open Source AI-native code editor. It is a fork of VS Code, and integrates tightly with the leading agentic framework on swebench-lite. Useful Links: https://codestory.ai/ https://docs.aide.dev/welcome/setting-up https://youtu.be/L-Inaw9ORp0?si=Pd3lbbJ8zZNKJs_V

https://github.com/cline/cline Meet Cline, an AI assistant that can use your CLI and Editor. Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI. Enter your task and add images to convert mockups into functional apps or fix bugs with screenshots. Cline starts by analyzing your file structure & source code ASTs, running regex searches, and reading relevant files to get up to speed in existing projects. By carefully managing what information is added to context, Cline can provide valuable assistance even for large, complex projects without overwhelming the context window. Once Cline has the information he needs, he can: Create and edit files + monitor linter/compiler errors along the way, letting him proactively fix issues like missing imports and syntax errors on his own. Execute commands directly in your terminal and monitor their output as he works, letting him e.g., react to dev server issues after editing a file. For web development tasks, Cline can launch the site in a headless browser, click, type, scroll, and capture screenshots + console logs, allowing him to fix runtime errors and visual bugs. When a task is completed, Cline will present the result to you with a terminal command like open -a "Google Chrome" index.html, which you run with a click of a button. Usefull Links: https://marketplace.visualstudio.com/items?itemName=saoudrizwan.claude-dev https://github.com/cline/cline/blob/main/README.md https://github.com/cline/cline https://www.youtube.com/watch?v=8jpWHRRzyiE&ab_channel=TheMetaverseGuy

https://www.youtube.com/watch?v=tTiLg8eYkP0&ab_channel=WorldofAI bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models. Useful Links: https://stackblitz-labs.github.io/bolt.diy/ https://youtu.be/MhOTvvmlqLM?si=UhJfQxBQ9ck4_V_o https://youtu.be/M4uo9kHnTrc?si=CnXlhUN600jcjF2T

https://www.pythagora.ai/ Build. Debug. Deploy. All in one tool. Prompt, run, edit and deploy full-stack web apps. Pythagora is a VS Code / Cursor extension powered by fourteen different AI agents that work together to plan, write code, review it, build tests, debug, and deploy full-stack web applications with ease. Pythagora uses a combination of advanced language models from providers such as OpenAI and Anthropic. THis platform is backed by Y-combinator.

DISCLAIMER: This video is for educational purposes only and demonstrates general troubleshooting techniques and procedures. I cannot be held responsible for any damage caused to your computer or software by following these steps. Use this information at your own risk. It is always advisable to seek professional assistance if you are not comfortable performing these procedures yourself. Additionally, some software and tools featured in this video may have specific licensing requirements or limitations. Please ensure you are using them in accordance with their respective terms of use. Useful Links: https://www.youtube.com/watch?v=4IUFmUeBEwA&ab_channel=Memory https://www.youtube.com/watch?v=uIeE4-4hb4A&ab_channel=SpitfireFMR