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Tracking the global AI frontier — labs · research · agents · policy
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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

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Implement on-behalf-of token exchange for multi-tenant agents with Amazon Bedrock AgentCore Gateway
Practice

Implement on-behalf-of token exchange for multi-tenant agents with Amazon Bedrock AgentCore Gateway

Building multi-tenant agents with Amazon Bedrock AgentCore and Apply fine-grained access control with Bedrock AgentCore Gateway interceptors establish the conce…

Building an agentic AI solution at Bluesight with Amazon Bedrock
Practice

Building an agentic AI solution at Bluesight with Amazon Bedrock

In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified a…

The AI Picbreeder Experiment: Can AI agents be creative when nobody tells them what to create?
Labs

The AI Picbreeder Experiment: Can AI agents be creative when nobody tells them what to create?

Frontier and Center: Who evaluates the evaluations?
Practice

Frontier and Center: Who evaluates the evaluations?

Editor’s note: Some of the most interesting questions in AI are being asked by information theoreticians, around how to provide context to an emerging class of …

How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore
Practice

How KTern.AI built agentic AI for SAP on Amazon Bedrock AgentCore

Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents acr…

Scaling agentic workflows with native case management in Amazon Quick Automate
Practice

Scaling agentic workflows with native case management in Amazon Quick Automate

In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the li…

Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore
Practice

Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Stran…

GPT-5.6 Sol nearly matches Fable 5 on aggregated benchmarks at one-third the cost
Briefing

GPT-5.6 Sol nearly matches Fable 5 on aggregated benchmarks at one-third the cost

OpenAI's GPT-5.6 Sol scores 59 points on the Artificial Analysis Intelligence Index, just one point behind Claude Fable 5. At $1.04 per task, it costs a third o…

OpenAI pairs its GPT-5.6 public rollout with ChatGPT Work, a new agent that handles entire workflows
Briefing

OpenAI pairs its GPT-5.6 public rollout with ChatGPT Work, a new agent that handles entire workflows

OpenAI is launching ChatGPT Work, an agent-based product powered by Codex and the now publicly available GPT-5.6. The agent can independently handle complex pro…

MCP tool design: Practical approaches and tradeoffs
Practice

MCP tool design: Practical approaches and tradeoffs

In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.…

ChatGPT is now a partner for your most ambitious work
Labs

ChatGPT is now a partner for your most ambitious work

ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.…

OpenAI finds roughly 30 percent of popular AI coding test is broken
Briefing

OpenAI finds roughly 30 percent of popular AI coding test is broken

OpenAI reviewed SWE-Bench Pro, a widely used test for measuring AI models' programming skills, and found roughly 30 percent of its tasks are broken. The company…

Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost
Briefing

Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost

Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at…

Agents, robots, and us: How AI reshapes work and skills in Latin America
Practice

Agents, robots, and us: How AI reshapes work and skills in Latin America

Most skills will still be needed—but how people use them will change as they work alongside intelligent machines.…

Introducing Claude apps gateway for AWS
Practice

Introducing Claude apps gateway for AWS

Today, we're announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and p…

Separating signal from noise in coding evaluations
Labs

Separating signal from noise in coding evaluations

A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.…

Codex as agent provider and agentic enhancements in JetBrains IDEs
Create

Codex as agent provider and agentic enhancements in JetBrains IDEs

This update brings Codex as a new agent provider in public preview, expands the Customizations editor with Hooks support and richer MCP server management, and i…

Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio
Practice

Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio

In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS …

Flint: A visualization language for the AI era
Research

Flint: A visualization language for the AI era

Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a middle path, l…

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
Labs

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration pla…

Google Deepmind adds background execution and MCP support to Gemini API managed agents
Briefing

Google Deepmind adds background execution and MCP support to Gemini API managed agents

Google Deepmind is adding four new features to Managed Agents in the Gemini API. Agents can now run asynchronously in the background, connect directly to remote…

Cost versus value: Managing agentic AI system performance
Practice

Cost versus value: Managing agentic AI system performance

Per-token pricing has stopped being a useful measure for what enterprises actually pay for gen AI. A conversation with David Tepper, CEO of Pay-i, delves into t…

Muse Image is technically impressive, but Meta's use of Instagram photos raises questions
Briefing

Muse Image is technically impressive, but Meta's use of Instagram photos raises questions

Meta's Superintelligence Labs ships Muse Image, its first image generation model. Like OpenAI's GPT Image 2, it works as an agent, using tools like code executi…

Meta-Harness R&D: Enterprise-Grade Self-Improvement for Long-Horizon AI Workflows
Labs

Meta-Harness R&D: Enterprise-Grade Self-Improvement for Long-Horizon AI Workflows

How autonomous code improvement can be made disciplined enough for enterprise use…

Anthropic's Claude Cowork AI agent is now available on mobile and web
Briefing

Anthropic's Claude Cowork AI agent is now available on mobile and web

Anthropic is rolling out its AI agent Claude Cowork to mobile and web. Until now, the feature was limited to the desktop app. The agent keeps working in the bac…

How AWS Finance teams reclaimed hundreds of hours with Amazon Quick
Practice

How AWS Finance teams reclaimed hundreds of hours with Amazon Quick

In this post, we show how AWS Finance used chat agents and Flows in Amazin Quick to transform two of their most time-consuming workflows.…

Build an AI-powered AWS support companion with Amazon Bedrock AgentCore
Practice

Build an AI-powered AWS support companion with Amazon Bedrock AgentCore

In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AW…

Build a serverless image editing agent with Amazon Bedrock AgentCore harness
Practice

Build a serverless image editing agent with Amazon Bedrock AgentCore harness

This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The…

Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick
Practice

Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick

In this post, we walk through how multi-dataset Topics work, explain how the chat agent uses defined relationships to generate cross-dataset queries, and demons…

Intelligence is Free, Now What? <br> Data Systems for, of, and by Agents
Research

Intelligence is Free, Now What? <br> Data Systems for, of, and by Agents

... government of the people, by the people, for the people ... &nbsp;&nbsp;&nbsp;&nbsp;&mdash; Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dro…