Qwen: introduces Qwen3.7-Plus, a multimodal agent model that unifies vision and language with both GUI and CLI operation and serves as a coding and productivity assistant. OpenAI: frontier models and Codex are now generally available on AWS via Amazon Bedrock, extending enterprise security, compliance, and governance workflows. xAI: Composer 2.5 is now inside Grok Build, described as a fast, highly intelligent model for long‑running tasks and complex instructions. LangChain: highlights Fleet for secure agent access to private resources and adds LangSmith LLM Gateway spend limits that return a 402 error when caps are hit. Google Antigravity: is becoming a scientific workbench with a Science Skills bundle that runs complex workflows like protein analysis using Alpha* models and dozens of databases; Google Gemma: releases the first gemma‑skills iteration, enabling agents to build with Gemma, use MTP for speed, pick model size, and locate up‑to‑date resources. ClaudeDevs: resets 5‑hour and weekly rate limits for Pro/Max plans and fixes excessive parallel subagents; Cursor: raises usage limits for Teams and adds a Premium seat with 5× usage at 3× cost; Visual Studio Code: demos orchestrating agents via the VS Code Agents window; NVIDIA: adds real‑time AI media tools including Synthetic Video Detector (up to 92% accuracy, 22 ms latency), RTX Video Super Resolution and Frame Generation; Vercel: enables remote execution of Conductor’s parallel coding agents on fast Sandboxes; Perplexity: launches Search as Code, a new architecture that writes Python to call its search stack directly, now default in the Perplexity Agent API.
LangChain – Introduces Managed Deep Agents that retain the familiar project layout (AGENTS.md, skills/, subagents/, tools.json) and adds a Context Hub for persisting and updating agent context across sessions; a technical roundtable on June 17 in Munich will cover production‑grade agents, agent harnesses, and the Deep Agents SDK. MiniMax – Launches MiniMax M3, an open‑weights model that merges a 1 million‑token context window, frontier coding, agentic abilities, and native multimodal (image/video) support, with benchmark scores highlighted and a 50 % discount for the first week; the model appears automatically in the Hermes Agent picker and credits the Teknium and Nous teams. OpenRouter – Announces that MiniMax‑M3 is now available on its platform, offering the same 1 M‑token context, frontier coding, agentic performance, and multimodal capabilities. Visual Studio Code – Promotes its new VS Code Learn Series episode “Extending Agents,” which teaches how to use tools, agent plugins, and third‑party agents within the editor.
OpenRouter (@OpenRouter) has integrated its models into ComfyUI workflows, allowing users to leverage OpenRouter models directly within ComfyUI. GitHub (@github) highlights the 2026 Partner Pack, offering exclusive discounts and perks for maintainers. The GitHub Innovation Graph provides economic data on trends in GDP, inequality, and emissions, which researchers find valuable. Google AI Developers (@googleaidevs) showcases successful implementations of Managed Agents in the Gemini API, including Eigent_AI's root cause analysis and llama_index's document processing template. NVIDIA (@nvidia) discusses the Dell AI Factory with NVIDIA, which enables companies to build, run, and scale AI, with NemoClaw powering agentic AI on-prem. OpenAI (@OpenAI) shares Terence Tao's experience with AI, which gives researchers more freedom to experiment and pursue unconventional ideas. LangChain (@LangChain) emphasizes the efficiency of LangSmith Sandboxes, which pause automatically when idle, and encourages users to create agents using everyday language with LangSmith Fleet.
OpenRouter now supports "apply_patch," a server tool that lets models propose file edits using V4A diffs through the Responses API. The model generates a patch, and OpenRouter validates the diff syntax server-side. This feature allows for more efficient and accurate file editing. xAI has released grok-build-0.1 in public beta via the xAI API. This model powers the Grok Build CLI and excels at agentic coding, priced at $1/m input and $2/m output. Google AI has released an episode of Release Notes featuring the architects of Gemini, including @JeffDean, @koraykv, @OriolVinyalsML, and @NoamShazeer. They discuss their journey and the people behind the model. LangChain has released LangSmith LLM Gateway, which enforces spend limits and redacts PII before requests reach the model. They also announced Deep Agents v0.6, which makes harness profiles a first-class abstraction, allowing for production-grade performance at lower costs. NVIDIA has announced a new era of PC, but the details are unclear. OpenAI has launched Rosalind Biodefense to help trusted builders develop new biodefense and pandemic preparedness capabilities. They are also expanding trusted access to GPT-Rosalind for select U.S. government and allied partners.
LangChain (@LangChain) LangChain has released a new course on LangSmith Fleet Essentials, allowing users to build, use, and manage agent fleets for complex tasks without coding. The course is a quickstart guide to building and improving agents. LangSmith Engine is also mentioned, which optimizes self-improving loops. A keynote from @hwchase17 highlighted the future of agents. Google DeepMind (@GoogleDeepMind) Google DeepMind's Gemini for Science tools aim to help scientists achieve their next breakthrough.
GitHub is hosting a Maintainer AMA in their community on May 27 from 8 a.m. to 1 p.m. PT, where contributors can ask questions and show appreciation for open-source projects like OpenClaw and Kubernetes. LangChain is using traces to build evaluations for production agents and has developed Mission Control, a decoupled application for deploying, configuring, and troubleshooting self-hosted LangChain infrastructure within Kubernetes. xAI has reset Grok Build usage limits for all accounts after receiving feedback on the Grok Build Beta, with the team continuing to collect feedback to improve the service. Anthropic has published a blog post discussing the importance of evolving access and permissions for agents as their capabilities grow, using sandboxing to limit potentially destructive actions in their own products.
