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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

AI-powered database query agent with natural language chat and data visualization

Two heads are better than one. Code with perspective. Quill mediates dialogue between multiple coding assistants. Quill assigns pair AI programmers. Quill helps the AI doing the work and a second AI giving perspective. Ask another mind. Ship better code.

[Gemini 3 Seoul Hackathon Finalist] Alpha-Agent: A Grounded AI Sandbox for Hallucination-Free Protein Engineering via Physics-Based Verification Loops.

Research corpus and companion reference for Rooted Layers, a publication on AI engineering, architecture economics, and production systems.

Production-grade Autonomous AI Research Agent powered by Gemini 2.5 Flash, LangGraph, FastAPI, Streamlit, ChromaDB, and Tavily Search.

Research platform for long-horizon autonomous survival agents. One agent · one random place on Earth · survive or vanish. Deterministic seeds, procedural world, tech graph, cognitive loop (observe→predict→act→reflect), memory lessons, bandit policy, counterfactuals, experiment batteries & offline reproducibility.

This is beta version of NEON runtime, meant to run AI models.

OpenGuild.ai gives you the architecture to spawn AI agents with distinct personalities, drop them into a shared conversation, and let them run.

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.

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.

I modified my NeuralPayRouter dApp to be used as a PayrollDistribution dApp for employers to save on resources by using blockchain smart contracts for payroll in USD with the option to convert to crypto as per laws.

DocRAG is a fully offline, private document intelligence assistant that lets you permanently store and query PDF, DOCX and TXT files. Powered by Qwen2.5 and bge-m3 through llama.cpp, it searches your entire personal library and provides citation-grounded answers with source and page references.