Photo by writer | Chatgt
Introduction
Agents AI independent software organizations that see their environment, making decisions, and take actions for obtaining specific purposes. They are basic to modern ingredients of artificial intelligence, from Chatbots to complex agents of various agents. Model Grotector protocol (MCP) is an open standard designed to connect AI models with external tools, APIs, and data resources.
Both technology is dominating ai space, and companies use them to re-process repetitive activities and reduce employees, as Agentic AI can remove high quality workers in certain cases.
In this article, we will review the ten GitHub repositories that can help you read the basics of agents AI and guide you to create agents based on agent programs. These retositories include tutorial, code samples, manual projects, project projects, important services, and YouTube guidelines to accelerate your learning trip.
10 GitHub Repoupies for Matcher Users and MCPS
1. Read AI and llms from scratch
Repo: Ashishps1 / Read-Ai-Engineering
This structure provides a systematic way of understanding the AI and llMS languages) from the ground to the top, using only free resources. Whether you are a start or brush on the plans, you will receive important guidelines and links.
2. AI Microsoft Ai Perioders
Report: Microsoft / Ai-Agents-Finds
Find 11 hands and courses designed to help you build your first Agents ai. Clear definedness and practical examples make this first place to those who want to understand Agentic Systems.
3. GENAIs agents and activation
Repo: Nirdriads / Genai_agents
Do you want a deep test of struggles with hard problems ai? This structure provides a complete tutorial projects and projects, ranging from the basics of advanced minds, making it ready to create smarts, AI active AI systems. All projects developed using Jobyter Nezeook, with detailed definitions, code, and consequences to help you understand how each application works.
4. Complete Agentic Ai Engineering Course
Report: Ed-Donner / Agents
Learn how to use the code and give AI agents six weeks and Agentic Ai Engineering Course. Follow with the code, projects, and courses designed to provide a powerful basis at the agent's project and the Shipping.
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Report: x1Hr / system-Provings-And-Models-of-Ai-Ai-Ai-AI-AI
Want to know how famous tools AI works under the hood? This repo is collecting the program to move the system, tools, and models from apps such as the direction, devin, multiply agency, and more. Check the actual worlds of the world and instant engineering strategies.
6. Ai agents masterclass (with video guides)
Report: Cleaemamps / Agents-Masterclass
This repository is a Masterclass Series Friend in YouTube, containing all the code and resources available here. Create and expand on applicable agent examples as you learn step-by action through video tutorials.
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Repo: E2B-Dev / Awesoma-Ai-Agents
This is the last list for anyone who is interested in autonomous agents. Check the selected collection of the best AI AGENT structures, libraries, and research sheets to speed up your projects or studies. The list is separated by open and closed source agents.
8. Best MCP servers
Repo: Punkpeye / Awesoma-MCP-Servers
Check the Model Grotector Protector Protocol (MCP) servers. The list is divided into sections such as ART and customs, default of browser, cloud platforms, code, and more. It is kept by our open society, which means you will receive the recent MCP servers.
9. Wesome MCP clients
Rep: Punkpeye / Awesoma-MCP
We look at the MCP servers list; Now, we look at the list of high customers of MCP. These clients can include Python Frameworks, Desktop Chatboots, VSCode extensions, Code editors, Agentic editors, and CLAude Tools like Cloud Code.
10. The terrible llm apps with agents and RAG
Report: Shubammsaboo / Awesome-LLM-Apps
Find apps associating with Agents of Agents, Ratrented Generation Generation (RAG), MCP servers, and edge models such as Openai, Anthropic, and Gemini. After reading the basics, you can find inspiration in this project and start building your portfolio.
The last thoughts
Large-language models have limitations, and personally see this personally. We were happy for the unusual intelligence of artificial intelligence, but now we see companies using benches to improve their new AI models. So, what's next Ai, and how can we do better?
One promising guidance includes agents and MCP servers. These agents and MCP servers provide additional skills llms to issue more information and help to operate your travel.
You can create apps for the Internet at stock price, analyze the market with issues, and buy or sell stocks in real time. People make millions to do this.
So, what is waiting for? Learn how to create your Agentic app and start using AI correctly.
Abid Awa (@ 1abidaswan) is a certified scientist for a scientist who likes the machine reading models. Currently, focus on the creation of the content and writing technical blogs in a machine learning and data scientific technology. Avid holds a Master degree in technical management and Bachelor degree in Telecommunication Engineering. His viewpoint builds AI product uses a Graph Neural network for students who strive to be ill.
