Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems

A team of researchers from University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford and University College London presents a report explaining Deep Research Agents (DR agents), a new…

MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation and sparse attention, models often suffer from performance degradation and…

This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations

Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing past behavior,…

The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)

What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit…

Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting

In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor, each responsible for a…

AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time

The Growing Threat Landscape for LLMs LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to adapt defense mechanisms that move…

o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope

In this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model. Rather than having the model jump straight to an answer,…

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits…

EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback

LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code behaves…

OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation

On July 17, 2025, OpenAI launched ChatGPT Agent, transforming ChatGPT from a conversational assistant into a unified AI agent capable of autonomously executing complex, multi‑step tasks—from web browsing to code execution—on a virtual…