deep-research

The author shares an efficient workflow experience using OpenSlide combined with Deep Research and GPT-Image-2 to create a 40+ page PPT in 4 hours.

Google unveils an autonomous research system that can search the web, reason across sources, use tools via MCP, generate charts, and produce cited reports.

Phil Schmid published a guide for developers on getting started with Google's new Gemini Deep Research Agent.

Google DeepMind launches Deep Research and Deep Research Max, Gemini 3.1 Pro-powered autonomous research agents with MCP support for enterprise workflows.

Google DeepMind upgraded Deep Research with arbitrary MCP support for secure third-party data analysis and automatic generation of presentation-ready visuals.

Google DeepMind introduces two variants of Deep Research: a speed-optimized version for interactive apps and a Max version for exhaustive background research tasks.

Google DeepMind launched Deep Research and Deep Research Max, autonomous agents using Gemini 3.1 Pro to browse web and custom data for professional, fully-cited reports.

DR-Venus-4B is a 4B-parameter deep-research agent trained on only 10K open samples via agentic SFT+RL with turn-level rewards, outrunning prior sub-9B agents and rivaling 30B models on research benchmarks while staying deployable on edge devices.

FS-Researcher introduces a file-system-based dual-agent framework that enables LLM agents to conduct deep research beyond context window limits by using persistent external memory as a shared workspace. The framework achieves state-of-the-art results on research benchmarks and demonstrates effective test-time scaling through computation allocation to evidence collection.

MindDR is a multi-agent deep research framework using a three-agent architecture (Planning, DeepSearch, Report) and a four-stage training pipeline, achieving competitive performance with ~30B-parameter models on multiple benchmarks. Developed by Li Auto and deployed as an online product, it also introduces MindDR Bench, a 500-query Chinese benchmark for evaluating deep research capabilities.

OpenAI Academy introduces two research features for ChatGPT: Search for real-time web information and Deep Research for comprehensive multi-step analysis. These tools help users gather, synthesize, and cite information from across the web more efficiently than traditional browsing.

OpenAI announces new ChatGPT for Business features in March 2025, including Canvas, app integrations, deep research capabilities, and OpenAI o1 pro mode for enterprise users.

OpenAI launches Deep Research, an agentic capability powered by an early version of o3 that conducts multi-step internet research for complex tasks, with comprehensive safety testing and privacy protections implemented before rollout to Pro users.

OpenAI announces deep research feature for ChatGPT, enabling users like Bain & Company researchers to analyze complex industry trends more efficiently. The tool augments research capacity by automating analysis tasks.