A library of rules for the Cursor IDE, providing organized instructions for the Agent Composer LLM backend.

Embodied and organized multi-LLM-agent teams supporting communication for >3 agents. Source codes for the paper "Embodied LLM Agents Learn to Cooperate in Organized Teams".

Synapse is a lightweight memory engine designed to give agents and LLMs a permanent "brain." It solves the "goldfish memory" problem by storing important facts, decisions, and preferences in an organized way, retrieving only what is relevant to the current conversation.

Learning materials for the course Building RAG Agents with LLMs organized by NVIDIA.

Complete project deliverable for Organized AI // Vibe Coders Hackathon - Progressive workshop series building a tool calling LLM agent with persistent memory, content generation, and local deployment

A comprehensive, hands-on tutorial repository for learning and mastering LangChain - the powerful framework for building applications with Large Language Models (LLMs). This codebase provides a structured learning path with practical examples covering everything from basic chat models to advanced AI agents, organized in a progressive curriculum.

Personal Claude Code setup for LLM engineering — custom agents, skills, and a library organized by context

A collection of hands-on LLM projects organized in separate folders, covering RAG, agents, embeddings, and real-world AI applications.

A curated collection of AI and automation projects organized by category - web scraping, AI agents, LLM applications, and RAG systems

A complete, hands-on journey through LangChain — from LLMs to Agents. Organized, practical, and perfect for quick learning or revision.

A collection of hands-on LLM projects organized in separate folders, covering RAG, agents, embeddings, and real-world AI applications.

Built an agent which helps for students to know the upcoming events organized in the college using LLM, RAG, ChromeDb, FastApi, React.

Autodesk Platform Services API documentation organized by category. This is the splitted llm.txt file for easier navigation and agent keyword matching.

AI-Powered Bible Study Web Application integrating LangChain, APIs, agentic features, and LLMs to provide insightful Bible answers and automatically generate organized study notes from chatbot interactions.

REASON – Retrieval-enhanced Evidence Assessment with Synthesis and Organized Narration: An End-to-end agent-based LLM pipeline for evidence synthesis using retrieval, classification, and structured summarization.

This repository contains solutions, experiments, and notes from the LLM Zoomcamp course organized by DataTalksClub. The course explores the foundations and applications of Large Language Models (LLMs), including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent-based systems.

Personal library of 60+ ML/DL/RL projects collected over 3 years. Organized tutorials, implementations, and experiments across Deep Learning, Reinforcement Learning, LLM Agents, Neural ODEs, and HyperOpt. Searchable catalog with tags. From PyTorch basics to advanced Rainbow DQN and game AIs.

A hands-on learning journey exploring Large Language Models (LLMs), covering Hugging Face pipelines, model fine-tuning, inference strategies (temperature, top-p, greedy decoding), RAG pipelines, and multi-agent frameworks. Organized day-wise with practical code, notes, and experiments.