MCP Deep Research Server using Gemini creating a Research AI Agent
-
Updated
Aug 12, 2025 - TypeScript
MCP Deep Research Server using Gemini creating a Research AI Agent
Ultimate AI research and engineering course
Weekly AI News and Open Source Tools Archive with YouTube Links
Ouroboros: AI-Driven Self-Improving Experimentation System
Multi-expert roundtable discussion powered by Resonnet.
An intelligent agent that searches, analyzes, and ranks arXiv research papers using LangGraph, LangChain, OpenAI GPT-4, and DuckDuckGo.
A sentient AI that can form memories, has happiness and energy levels, can execute commands on an Ubuntu terminal, and can ask questions to humans via Slack
A curated list of autonomous AI agent frameworks, tools, benchmarks, and papers
[Gemini 3 Seoul Hackathon Finalist] Alpha-Agent: A Grounded AI Sandbox for Hallucination-Free Protein Engineering via Physics-Based Verification Loops.
OpenGuild.ai gives you the architecture to spawn AI agents with distinct personalities, drop them into a shared conversation, and let them run.
AI-powered database query agent with natural language chat and data visualization
Hand-coded solutions in python for the Abstraction and Reasoning Corpus tasks
Project based Web survey for researching the impact of AI tools on the academic performance of IT students. The survey collects responses through a form and stores the data for analysis.
Hi, I'm Hammad Shahid AI/ML Engineer & Web Developer Specialized in Computer Vision, Large Language Models (LLMs), and Deep Learning with hands-on experience in web development. I build intelligent systems that bridge cutting-edge AI research with practical, scalable applications.
Research experiments investigating structural stability and deterministic behavior in generative diffusion image models.
Python pipeline for preprocessing Whale Alert transaction data and labeling sentiment for crypto price forecasting.
Explanation and Game – Play Capabilities of Modern AI and Large Language Models Project
Multi-agent AI research automation pipeline built using n8n and Ollama. The system autonomously performs research, extracts key insights, and generates structured reports using a local LLM.
Research corpus and companion reference for Rooted Layers, a publication on AI engineering, architecture economics, and production systems.
Add a description, image, and links to the airesearch topic page so that developers can more easily learn about it.
To associate your repository with the airesearch topic, visit your repo's landing page and select "manage topics."