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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
Fix with Copilot for failing Actions now in Pro, Pro+, and Max
Create

Fix with Copilot for failing Actions now in Pro, Pro+, and Max

When a GitHub Actions job fails, Copilot Pro, Pro+, and Max subscribers can now ask Copilot cloud agent to fix it in one click. Click the Fix with Copilot butto…

GPT-5.2 and GPT-5.2-Codex deprecated
Create

GPT-5.2 and GPT-5.2-Codex deprecated

As of today, June 5, 2026, we have deprecated the following models across most GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent m…

Security validation for third-party coding agents
Create

Security validation for third-party coding agents

Security validation for third-party coding agents is now generally available. GitHub supports third-party coding agents (including Claude and OpenAI Codex) that…

Claude Fable 5 is generally available for GitHub Copilot
Create

Claude Fable 5 is generally available for GitHub Copilot

Claude Fable 5 from Anthropic is now available in GitHub Copilot, the first model in Anthropic’s Mythos class, designed for long-horizon, autonomous codin…

Copilot Chat now sees your agent sessions
Create

Copilot Chat now sees your agent sessions

We’ve improved the handoff experience between Copilot Chat and Copilot cloud agent on the web. We’ve also enabled new functionality which allows you…

Agentic workflows no longer need a personal access token
Create

Agentic workflows no longer need a personal access token

You can now use GitHub Agentic Workflows with GitHub Actions’s built-in GITHUB_TOKEN. This means that you no longer need to create and store a personal ac…

GitHub Agentic Workflows is now in public preview
Create

GitHub Agentic Workflows is now in public preview

GitHub Agentic Workflows is now in public preview. With agentic workflows, you can automate reasoning-based tasks like issue triage, CI failure analysis, and do…

Sensible Agent: A framework for unobtrusive interaction with proactive AR agents
Research

Sensible Agent: A framework for unobtrusive interaction with proactive AR agents

Human-Computer Interaction and Visualization…

Import AI 441: My agents are working. Are yours?
Research

Import AI 441: My agents are working. Are yours?

Plus: Corrupting AI systems with a poison fountain…

Import AI 443: Into the mist: Moltbook, agent ecologies, and the internet in transition
Research

Import AI 443: Into the mist: Moltbook, agent ecologies, and the internet in transition

Plus, a story about agents corrupting other agents…

Import AI 447: The AGI economy; testing AIs with generated games; and agent ecologies
Research

Import AI 447: The AGI economy; testing AIs with generated games; and agent ecologies

What might a superintelligence arcology be like?…

Import AI 448: AI R&D; Bytedance's CUDA-writing agent; on-device satellite AI
Research

Import AI 448: AI R&D; Bytedance's CUDA-writing agent; on-device satellite AI

If Ukraine is the first major drone war, when will there be the first major AI war?…

GPT 5.4 is a big step for Codex
Research

GPT 5.4 is a big step for Codex

On evaluating and understanding the frontier of agents, and why I still turn to Claude.…

Import AI 453: Breaking AI agents; MirrorCode; and ten views on gradual disempowerment
Research

Import AI 453: Breaking AI agents; MirrorCode; and ten views on gradual disempowerment

Was fire equivalent to a singularity for people at the time?…

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests
Research

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even w…

MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models
Research

MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models

MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and …

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.…