Research into how agentic AI coding assistants work — reconstructed prompt patterns, agent coordination, and security classification

Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

Complete Implementation of 21 Agentic Design Patterns A comprehensive collection of production-ready AI agent patterns, each as a runnable project. Master agentic design through practical examples covering prompt chaining, multi-agent systems, RAG, and more. Perfect for AI developers, researchers, and teams building complex AI workflows

AI-powered deep research agent for automotive procurement and R&D. One prompt generates board-ready reports with PDF, PPTX, DOCX, and CSV deliverables from 100+ data sources - patents, SEC filings, academic papers, and more.

An Ai agent that takes a simple prompt, then uses a series of agents to conduct research and and can produce blog posts, linkedin posts or technical guides using a friendly web UI

Comprehensive taxonomy of AI security vulnerabilities, LLM adversarial attacks, prompt injection techniques, and machine learning security research. Covers 71+ attack vectors including model poisoning, agentic AI exploits, and privacy breaches.

AEO Skills — Answer Engine Optimization for AI Agents. Prompt research, content creation, and analytics — all free, no paid APIs.

Research-backed skills, prompts, and configs for LLM agent tools. Built from arxiv papers and reverse engineering top AI products.

Building a high-quality prompt universe for analysis, creativity, research, business, and AI agents.

Agentic AI Security Bootcamp is a hands-on, research-driven training environment for analysing, attacking, and securing autonomous AI systems. The repository provides structured labs, adversarial evaluation frameworks, and red-teaming exercises covering multi-agent observability, prompt injection..

Multi-agent AI system for financial analysis and investment research. Uses LLMs, APIs, and agentic workflows (prompt chaining, routing, evaluator–optimizer) to analyze stocks, news, and financials.

AI Research Agent - Local AI document training, with schedulable jobs for grabbing content (URL, Arxiv Etc) and executing prompts/re-training based on results

Curated prompt templates and specialized agents for AI orchestration systems. 29+ agents across development, research, business, and creative domains.

LangGraph Agent AI Driven cloud architecture designs generated by prompts. Agents: Requirements -> Planner -> Researcher -> Designer -> Cost -> Security -> Terraform -> Diagram -> Reviewer.

A 5-day online course by Google’s ML researchers and engineers, covering foundational Generative AI concepts, hands-on coding, and advanced techniques like prompt engineering, embeddings, AI agents, domain-specific LLMs, and MLOps

Part 1 of a large AI and agent skills collection featuring 900+ reusable skill folders, prompt workflows, references, scripts, and assets across engineering, cloud, security, research, writing, design, and automation.

An AI-powered research and content generation assistant built with LangGraph/LangChain and Streamlit. The system orchestrates multiple specialized agents (Planner -> Researcher -> Prompt Augmentor -> Generator) to plan searches, gather context from the web, refine your request, and produce a final result.

Cognitive health protection for AI agents. Monitors user-AI interactions across 6 research-backed dimensions (autonomy, learning, metacognition, verification, engagement, motivation), detects cognitive drift over time, and injects adaptive guidelines into AI system prompts. Drop-in SDK: track, protect, and grow human cognition.

This project implements an autonomous AI agent capable of self-improvement by evolving its own system prompt (context) rather than fine-tuning weights. This approach is inspired by the research concept that "Fine-tuning is Dead" (in favor of dynamic context engineering).

A 4-layer prompt-based AI Agent for deep research automation using ChatGPT.

Research: Solving ICPC PDA 2026 with AI agents - comparing oneshot vs prompted strategies

Educational security research on AI coding agent attack surfaces -- prompt injection, skill poisoning, defense patterns

A premier OSINT research vault dedicated to AI system prompts, tool interaction schemas, and agent architectures. Curated for Security Researchers, Red Teamers, and Prompt Architects.

AI-powered agent that generates personalized outreach messages for researchers using structured data and LLM prompt pipelines.

🛡️ Universal AI defense framework protecting agents from prompt injection attacks | 67% attack reduction | Based on academic research

A LangChain + LangGraph powered multi-agent AI system that automatically generates structured IEEE-format research papers from topic prompts.

Agentic AI Chrome backend for multi-step stock research — powered by Gemini, FastAPI, and MCP tools with verified prompt reasoning and cognitive 4-layer architecture.

Comprehensive toolkit by HERE AND NOW AI: master Prompt Engineering (role-based, few-shot, CoT, constraints) and Context Engineering (memory, state, RAG, tools, prompt design) to build autonomous AI agents for education, research & industry.

CrewAI-powered multi-agent pipeline that automates Instagram content creation—from topic research and caption generation to image prompt design and final content preparation. The system demonstrates how multi-agent AI workflows can collaborate to perform tasks such as topic research, caption writing, prompt generation, and image preparation.

This repository implements a modular AI agent system with planning and execution capabilities for automated research tasks. The system uses LLM-powered reasoning with ReAct prompting (Reasoning + Acting) to perform comprehensive research on any topic.