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Agents

The agentic stack, tracked daily: MCP and A2A protocols, LangChain/LangGraph, Claude Code, OpenAI Agents SDK, agent frameworks, benchmarks and orchestration patterns.

The agentic stack, tracked daily: MCP and A2A protocols, LangChain/LangGraph, Claude Code, OpenAI Agents SDK, agent frameworks, benchmarks and orchestration patterns.

Latest in Agents

30 stories
Data Formulator 0.7: AI-powered data analytics for enterprise data
Research

Data Formulator 0.7: AI-powered data analytics for enterprise data

Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where user…

Agentic MPC for Semantic Control System Resynthesis
Research

Agentic MPC for Semantic Control System Resynthesis

While MPC effectively handles structured, diverse, and low-level specifications, it lacks the capability to dynamically incorporate high-level contextual inform…

MiniPIC: Flexible Position-Independent Caching in <100LOC
Research

MiniPIC: Flexible Position-Independent Caching in <100LOC

Retrieval-augmented and agentic workloads repeatedly prefill recurring predictable structured inputs (which we call "spans") such as documents and code files. Y…

MemRefine: LLM-Guided Compression for Long-Term Agent Memory
Research

MemRefine: LLM-Guided Compression for Long-Term Agent Memory

Large language model (LLM) agents are increasingly expected to operate over long-term interactions, where information from past dialogues must be preserved and …

From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
Research

From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent

Large language models (LLMs) have shown promise in automating scientific peer review. However, existing approaches often struggle to generate in-depth reviews s…

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing
Research

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismat…

Adaptive Turn-Taking for Real-time Multi-Party Voice Agents
Research

Adaptive Turn-Taking for Real-time Multi-Party Voice Agents

Turn-taking in multi-party spoken conversations remains a fundamental challenge for voice-based agents, particularly under dynamic floor competition and varying…

ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages
Research

ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages

Multimodal Large Language Models (MLLMs) have shown promising reasoning capabilities in general domains, yet their performance remains limited in specialized se…

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Research

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch

Dispatch in three-sided marketplaces provides a natural setting for reinforcement learning from world feedback: decisions are evaluated by delayed operational o…

Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks
Research

Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks

Shielded reinforcement learning is typically presented as a runtime safety mechanism that compiles temporal-logic specifications into automata restricting an ag…

InterleaveThinker: Reinforcing Agentic Interleaved Generation
Research

InterleaveThinker: Reinforcing Agentic Interleaved Generation

Recent image generators have demonstrated impressive photorealism and instruction-following capabilities in single-image generation and editing. However, constr…

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Research

EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments

Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In contrast, …

Introducing EVMbench
Labs

Introducing EVMbench

OpenAI and Paradigm introduce EVMbench, a benchmark evaluating AI agents’ ability to detect, patch, and exploit high-severity smart contract vulnerabilities.…

OpenAI announces Frontier Alliance Partners
Labs

OpenAI announces Frontier Alliance Partners

OpenAI announces Frontier Alliance Partners to help enterprises move from AI pilots to production with secure, scalable agent deployments.…

Why we no longer evaluate SWE-bench Verified
Labs

Why we no longer evaluate SWE-bench Verified

SWE-bench Verified is increasingly contaminated and mismeasures frontier coding progress. Our analysis shows flawed tests and training leakage. We recommend SWE…

Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting
Labs

Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting

OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—sho…

OpenAI and Amazon announce strategic partnership
Labs

OpenAI and Amazon announce strategic partnership

OpenAI and Amazon announce a strategic partnership bringing OpenAI’s Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI age…

Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock
Labs

Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock

Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI.…

How Balyasny Asset Management built an AI research engine
Labs

How Balyasny Asset Management built an AI research engine

By combining rigorous model evaluation, full-platform use of OpenAI, and agent workflows, Balyasny is reinventing investment research.…

Codex Security: now in research preview
Labs

Codex Security: now in research preview

Codex Security is an AI application security agent that analyzes project context to detect, validate, and patch complex vulnerabilities with higher confidence a…

From model to agent: Equipping the Responses API with a computer environment
Labs

From model to agent: Equipping the Responses API with a computer environment

How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.…

Designing AI agents to resist prompt injection
Labs

Designing AI agents to resist prompt injection

How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.…

Introducing GPT-5.4 mini and nano
Labs

Introducing GPT-5.4 mini and nano

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.…

How we monitor internal coding agents for misalignment
Labs

How we monitor internal coding agents for misalignment

How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI s…

Speaking of Voxtral
Labs

Speaking of Voxtral

Voxtral TTS: A frontier, open-weights text-to-speech model that’s fast, instantly adaptable, and produces lifelike speech for voice agents.…

Powering product discovery in ChatGPT
Labs

Powering product discovery in ChatGPT

ChatGPT introduces richer, visually immersive shopping powered by the Agentic Commerce Protocol, enabling product discovery, side-by-side comparisons, and merch…

Introducing the OpenAI Safety Bug Bounty program
Labs

Introducing the OpenAI Safety Bug Bounty program

OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.…

Gradient Labs gives every bank customer an AI account manager
Labs

Gradient Labs gives every bank customer an AI account manager

Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.…

Gemma 4: Byte for byte, the most capable open models
Labs

Gemma 4: Byte for byte, the most capable open models

Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.…

The next phase of enterprise AI
Labs

The next phase of enterprise AI

OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents.…