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Garry Tan Releases gstack: An Open-Source Claude Code System for Planning, Code Review, QA, and Shipping
What if AI-assisted coding became more reliable by separating product planning, engineering review, release, and QA into distinct operating modes? That is the idea behind Garry Tan’s gstack, an open-source toolkit that packages Claude Code into 8 opinionated workflow skills backed by a persistent browser runtime. The tookit describes itself as ‘Eight opinionated workflow…

Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries
Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap between competition-level math and professional research. While models achieved gold-medal standards at the 2025 International Mathematical Olympiad (IMO), research requires navigating vast literature and constructing long-horizon proofs. Aletheia solves this by iteratively generating, verifying,…

The 6 Best AI Agent Memory Frameworks You Should Try in 2026
In this article, you will learn six practical frameworks you can use to give AI agents persistent memory for better context, recall, and personalization. Topics we will cover include: What “agent memory” means and why it matters for real-world assistants. Six frameworks for long-term memory, retrieval, and context management. Practical project ideas to get…

Google AI Introduces ‘Groundsource’: A New Methodology that Uses Gemini Model to Transform Unstructured Global News into Actionable, Historical Data
Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to extract structured historical data from unstructured public news reports. The project addresses the lack of historical data for rapid-onset natural disasters. Its first output is an open-source dataset containing 2.6 million historical urban flash…

From Text to Tables: Feature Engineering with LLMs for Tabular Data
In this article, you will learn how to use a pre-trained large language model to extract structured features from text and combine them with numeric columns to train a supervised classifier. Topics we will cover include: Creating a toy dataset with mixed text and numeric fields for classification Using a Groq-hosted LLaMA model to…
Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools and access domain-specific knowledge more effectively. Two common approaches that have emerged are skills and MCPs. While they may appear similar at first, they differ in how they are set up, how they execute…
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