Search “Agents”

Muse integrates 1Password; agent logins require user approval each time

Muse announced that it will integrate 1Password directly into its product; users must approve each login themselves, and passwords remain stored in their own vaults. The feature will roll out across all platforms over the coming days. 1Password released the 1Password for Agents platform the same day: when an agent encounters a login form, it requests credentials from the password vault, and after the user approves, 1Password autofills directly, so the agent cannot see or hold the credentials. The feature is free and optional for individual and family accounts; when the connector is not enabled, agents cannot access the password vault.

Nectar Uses AI Agents to Parse Brand Mentions in Videos

Nectar has launched an agentic growth stack that can analyze video visuals, voiceovers, and on-screen text across Instagram, TikTok, YouTube, X, and Reddit, breaking each post down into 300+ attributes to capture brand mentions that never appear as text. Nectar estimates that 95% of brand discussions happen outside tagged posts, which is the only content most social tools track.

Action State Launches Open Source Tool to Verify AI Agent Interaction Records

Action State Group has released an open source toolset for enterprises to independently verify records of AI agent behavior, including EvidenceBook, which preserves tamper-proof records, Terms Packs, which evaluate agent behavior, and Countersign, an independent verification service. EvidenceBook is released under the Apache 2.0 license and uses a signed Agent Action Capsules format and cryptographic checkpoints; verification can be performed offline and is free. Founder Steven Mih said the tool can verify that reported events actually occurred, but cannot confirm whether agreements were fulfilled, and Countersign does not certify the authenticity of results or the integrity of evidence.

Red and Black List of Four Personal Agents: Grok Bot, Muse, Claude Duet, and ChatGPT Dots Tested by Division of Labor

Peter Yang updated his tested red and black list of four personal agents: Grok Bot excels at real-time X data research but its email feature is unusable; Muse is free and stands out in offline business phone capabilities but is slightly weaker in raw intelligence; Claude Duet has the strongest proactivity and base-model intelligence but its research preview lacks browser takeover; ChatGPT Dots can inherit historical assets but still has bugs and slow voice connections. He connects no more than 4 agents to his personal email at the same time.

Schneider Electric, Nvidia and HPE Launch AI Agents for Industrial Operations

Schneider Electric, Nvidia and HPE have formed a strategic partnership to launch the first batch of Industrial AI Agents at the Edge, focusing on operational technology (OT) monitoring, cybersecurity and energy optimization. These agents run locally on HPE Private Cloud AI, eliminating the need to continuously transmit sensitive industrial data to the public cloud. Customers can manage the agents through Schneider Electric's EcoStruxure Industrial Insights application, and the related OT monitoring technology has been in use for three years at Chilean pulp company CMPC.

MiniMax Code Desktop Launches Mini App

MiniMax has launched Mini App in local sessions of the MiniMax Code desktop app (macOS / Windows). It is a persistent application with a frontend and a Node.js backend, installed as a plugin, that can call and be called by the Agent, keeping work on a continuously alive page rather than scattered across conversations. This release includes the Mini App runtime (persistent data directory, hosted MCP, Agent API, Host Connectors, and in-page tool approval), /miniapp-creator for generating a page with a single sentence, and the official Mini Apps in the plugin marketplace and the open-source community repository MiniMax-Code-MiniApps. According to the official announcement, account credentials are kept by the host and cannot be accessed by plugins or pages, and content passed from a page to the Agent first enters the input box for review.

Recursive releases its first model Flint: local coding MoE, 125+ tokens/s on a MacBook

Recursive releases its first model Flint, a MoE with 40 billion total parameters and 2.5 billion activated parameters per token, aimed at local Agent coding, with weights open-sourced under Apache 2.0. With short context, it exceeds 125 tokens per second on an M4 Pro MacBook Pro and over 150 on a 64GB RTX Spark, and supports llama.cpp, Ollama, LM Studio, vLLM, SGLang, and Unsloth. Nearly every stage of its R&D involved the automated research system Eureka Machine, including architecture search, quantizing the output layer to 4 bit with offline distillation, and fusing Metal kernels for M4/M5.

Microsoft CEO Satya Nadella's 2026 Annual Letter to Shareholders: Mapping Token Costs to Business Outcomes, Building a Frontier Ecosystem

In his 2026 annual letter to shareholders, Microsoft CEO Satya Nadella proposed building a frontier ecosystem and introduced cost-to-outcome—the business results obtained per unit of token spend—as a new optimization metric. In fiscal year 2026, Microsoft's revenue reached $331.8 billion, up 18% year over year; Azure grew 41%, surpassing $100 billion for the first time; M365 Copilot paid seats exceeded 30 million, and GitHub Copilot users reached 50 million. The letter states that interaction is shifting from synchronous chat to asynchronous agents, with the harness separated from the model; Foundry offers more than 11,000 models and has over 100,000 customers, and Microsoft Frontier Co. was established, deploying 6,000 experts on-site.

MiniMax announces Inferact as the API launch partner for M3.1 Flash

MiniMax announces Inferact as the API launch partner for M3.1 Flash; the latter will provide vLLM engineering capabilities and the Inferact Platform to support production inference for this model. Both parties state that they will continue to jointly build serving infrastructure for complex agent workloads. In a quoted post, Inferact stated that M3.1 Flash is aimed at multi-step automation, real-codebase engineering, and visual reasoning, scoring 29.6 on Agents' Last Exam (ALE), 72.5% on AutomationBench-AA, and 73.67% on DeepSWE.

AWS team open-sources multi-agent system Deep Insight, breaking down five major challenges in production environments

The AWS Solutions Architecture team built and open-sourced the multi-agent system Deep Insight, which can transform CSV data and natural language prompts into cited .docx analysis reports. The system consists of eight agents—Coordinator, Planner, Supervisor, Coder, Validator, Reporter, Tracker, and others—collaborating in layers, controlling execution flow based on the Graph and Agents-as-Tools patterns of the Strands Agents SDK, and selecting Claude Haiku, Opus, and Sonnet by role. Production deployment relies on the Amazon Bedrock AgentCore runtime; LLM-generated code is executed in isolation within per-session ephemeral containers on AWS Fargate, accompanied by a Web UI and an Ops dashboard.

Sarvam AI releases enterprise agent knowledge fabric architecture and benchmark results

Sarvam AI introduced a knowledge fabric built for enterprise agents, composed of two layers, a knowledge tree and a domain ontology, which compiles documents once into a structured layer that agents can navigate, query, and cite. On the Harvey LAB benchmark, answers using GLM 5.3 met 84.2% of expert grading criteria, higher than agentic RAG's 55.1%, with average task cost dropping from $0.64 to $0.28; on Sierra's tau-knowledge banking benchmark, it achieved accuracy comparable to the baseline with 64% fewer tokens. The knowledge tree is already used in the Sarvam cowork product, while the ontology is built domain by domain and enterprise customer by enterprise customer.

Anthropic Opens Claude Duet Research Preview: An Agentic App That Can Proactively Execute Tasks

Anthropic has opened the Claude Duet research preview, an agentic app built on Claude Opus 5.5 that can proactively advance tasks. It is now available on iOS, Android, and claude.ai for Pro and Max users in the United States, who must join a waitlist. Every morning it pushes a cross-app highlights briefing, and it can continuously execute tasks in the background; it requires user approval before sending messages, making payments, signing documents, or deleting, and securities trading and transfers between accounts are not permitted even with approval. Claude Duet can invoke more than 6,000 connectors and plugins in the Claude Marketplace, and it follows the credential-handling approach of Claude Managed Agents, never directly touching users' passwords or login tokens.

Zijing Zhikang, incubated by Tsinghua AIR, releases multi-agent collaborative technology and upgrades Zijing AI Hospital

Zijing Zhikang, incubated by Tsinghua AIR, has released multi-agent collaborative technology for the medical field and upgraded Zijing AI Hospital (Agent Hospital), offering two modes: on-demand reminders and consultation. When agents' opinions differ, the disagreements are highlighted and presented to doctors for judgment. As of July 2026, the system has built 54 AI doctors and millions of hyper-realistic AI patients, covering thousands of diseases; 18 clinical departments at Beijing Tsinghua Changgung Hospital have conducted outpatient testing, with more than 40 doctors using it regularly, improving overall diagnostic and treatment efficiency by 30%. AI doctors have achieved over 96% accuracy on the MedQA dataset and attained the highest scores in multiple international medical evaluation datasets.

Kling 4.0 launches on the fal platform

Kling 4.0 is now live on the fal platform. The official description calls it a next-generation native multimodal video model, with improvements in stability for complex motion, consistency of character and scene references, and precision of cinematic narrative control. It is currently available only through the fal UX and fal Agent, with API access coming soon.

Kling 4.0 Launches on the fal Platform

Kling 4.0 is now available on the fal platform. It is a new-generation native multimodal video model that improves the stability of complex motion, reference consistency for characters and scenes, and control precision for cinematic storytelling. It is currently available only through fal UX and fal Agent, with API access coming soon.

ElevenLabs launches Eleven Realtime Translation real-time speech translation model

ElevenLabs releases the real-time speech translation model Eleven Realtime Translation, currently available in alpha form to ElevenAPI enterprise customers. The model uses the low-latency speech model Eleven v4 Turbo by default, supports more than 90 languages and automatic language detection, keeps the same voice consistent across languages, and can be selected from a library of more than 17,500 voices or custom voice clones. Teams can adjust the translation startup speed, trading off between high-quality translation and low latency on complex calls; Deutsche Telekom has already built new call features based on ElevenLabs in its Magenta AI Call Assistant.

Deploying the RFD4-Proteina model on Databricks

NVIDIA and Databricks plan to integrate NVIDIA BioNeMo's open-source protein design model RFD4-Proteina into Databricks' Genesis Workbench, running on the now generally available AI Runtime serverless NVIDIA GPU compute. The model can simultaneously generate protein sequences and all-atom structures, and supports optional reward-guided search to steer candidate designs toward target properties such as thermostability and binding affinity. Genesis Workbench includes two built-in RFD4-Proteina workflows, Antibody Design and Vaccine Design, and can be extended through Genie Code and NVIDIA BioNeMo Agent Toolkit skills.

NVIDIA GTC Berlin 2026 announces 12 releases, covering AI factories, telecommunications, and enterprise agents

At GTC 2026 in Berlin, NVIDIA announced 12 releases, covering AI factory deployment, semiconductor manufacturing expansion, telecom AI-RAN, enterprise agents, robotics and autonomous driving, as well as new open models for enterprise data, protein design, and quantum computing. On the infrastructure side, the DSX POD modular AI factory reference design is said to shorten deployment time from six months to as little as 14 days, and DSX MaxLPS is said to deliver equivalent AI compute using up to 30% less power, with partners planning to deliver in early 2027. On the telecom side, T-Mobile completed what it calls the world's first AI-RAN call on a commercial network in Bellevue, Washington, with NVIDIA and Nokia, and Elisa completed Europe's first AI-RAN field trial; on the enterprise side, it expanded the open-source Agent Toolkit and introduced the OpenShell reference architecture for monitoring and restricting agent behavior.

English translation is being prepared.

English translation is being prepared.