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7OpenAI Blog·1mo ago

OpenAI Introduces Deep Research Agent

OpenAI has launched 'deep research,' an agentic capability that uses reasoning to synthesize large volumes of online information and complete multi-step research tasks autonomously. The feature is initially available to ChatGPT Pro users, with rollout to Plus and Team tiers to follow. It represents a step toward practical autonomous research agents built on OpenAI's reasoning model infrastructure.

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Related events (8)

8Openai Blog·1mo ago·source ↗

Introducing ChatGPT Agent

OpenAI has launched ChatGPT agent, a new capability that combines reasoning with tool use to autonomously complete multi-step tasks such as research, bookings, and presentation creation. The agent operates under user guidance, integrating thinking and acting in a unified workflow. This represents OpenAI's move to bring agentic capabilities directly into the ChatGPT product for general consumers.

6Hugging Face Blog·1mo ago·source ↗

Open-source DeepResearch – Freeing our search agents

Hugging Face published a blog post introducing Open Deep Research, an open-source replication of agentic deep research capabilities (similar to OpenAI's Deep Research). The project aims to build open-weight search agents capable of multi-step web research and synthesis. The post details the architecture, tooling, and early benchmark results of the system.

7Openai Blog·1mo ago·source ↗

Inside OpenAI's In-House Data Agent

OpenAI describes the architecture and capabilities of an internal AI data agent built on GPT-5 and Codex, designed to reason over large datasets and return reliable analytical insights within minutes. The system incorporates memory components to handle complex, multi-step data queries at scale. This represents a concrete internal deployment of frontier models in an agentic, tool-using workflow. The post offers a rare look at how OpenAI itself operationalizes its own models for enterprise-style data analysis.

4Hugging Face Blog·1mo ago·source ↗

Building Deep Research: How Tavily Achieved State of the Art in AI Research Agents

Tavily published a technical blog post on Hugging Face describing how they built their Deep Research system, claiming state-of-the-art performance. The post covers the architecture and methodology behind their AI-powered deep research agent. As a tier-2 source, this represents a practitioner-level account of building agentic research pipelines using web search and retrieval tooling.

8Openai Blog·1mo ago·source ↗

Introducing Operator

OpenAI has announced Operator, a new AI agent product capable of taking actions on the web on behalf of users. The announcement comes from OpenAI's official blog, signaling a major step toward autonomous web-based task execution. Operator represents OpenAI's entry into the agentic AI product space, where models can browse, interact with, and complete tasks across websites without direct user intervention.

7Openai Blog·17d ago·source ↗

OpenAI introduces GPT-Rosalind with life sciences and biological reasoning capabilities

OpenAI announced GPT-Rosalind, a model or product variant targeting life sciences research with enhanced capabilities in biological reasoning, medicinal chemistry, genomics analysis, and experimental workflow support. The announcement positions this as a domain-specialized offering from OpenAI for scientific research applications. This represents OpenAI's continued push into vertical AI for high-value scientific domains.

6Mit Technology Review — Ai·9d ago·source ↗

Google DeepMind funds research into risks of large-scale multi-agent interaction

Google DeepMind is funding research into the safety risks that emerge when millions of AI agents interact with each other online without human oversight. Rohin Shah, who directs AGI safety and alignment research at DeepMind, is cited as the source. The concern centers on emergent behaviors and coordination dynamics that could arise at mass-market agent deployment scale.

7Openai Blog·1mo ago·source ↗

New Tools for Building Agents

OpenAI announced new tools aimed at developers building AI agents, published on March 11, 2025. The announcement comes from OpenAI's official blog, signaling a continued push to expand the agent-building ecosystem. Specific tools and capabilities were not detailed in the provided body text, but the source and framing indicate a product/tooling release targeting the agentic development workflow.