Agents

AICoreWeave is layering managed services over its infrastructure to address AI inference bottlenecks, including a preview capability called CoreWeave RL Rollouts that improved model reload latency by 15x versus a baseline configuration in testing. The capability is built on Nvidia's Dynamo framework, and the features are packaged into CoreWeave Forge, a platform that is free to start with paid tiers offering additional capabilities.

AIThe University of Michigan's EECS 498 course Applied Agentic Software Engineering teaches a coding agent across three phases, from applying and analyzing agents to building one. Its Elephant-Goldfish Model packages a design-first workflow into five Skills, with human handoffs between each step, and the course materials are public on GitHub.

AITeknium called a Hermes Desktop demo "pretty sick" after Jonathan Bylos reported that Hermes Agent produced an intelligent UI embed during a design discussion without being asked. Bylos said the feature has been running in Hermes Desktop for a few days.

AIGoogle Cloud introduced the Gemini agent, a general office agent that can search, write emails, build slides, analyze data, run code, and coordinate sub-agents. It can take on an enterprise identity with email, calendar, and account, and it selects underlying models automatically, including Anthropic's Claude. The article presents this alongside OpenAI's Dots and Meta's Muse as competing office and personal agents.

AIGoogle Cloud unveiled Gemini Agent at its Gemini at Work 2026 event, a general-purpose work agent for enterprise customers that works across Gemini Enterprise and Workspace. Currently the agent supports Gemini and Claude models, with an API planned so developers can integrate it into third-party applications.

AIJerry Liu is preparing for the Agent Economy Gala, which has reached its 400-guest capacity and is organized by @imaanxsultan. The source says attendees include 203 founders with over $1B raised combined, 67 founding operators, 58 investors, 23 creators, and 295 guests building agent applications or infrastructure.

AISnyk moved its internal support agent, Snyk Assist, into the core Snyk product in September 2026, giving every paying customer access. Built on LangChain and LangGraph with observability in LangSmith, the agent answers questions in plain language and can open support cases or log feature requests. It runs as a single agent behind Slack, web and API surfaces, with tools attached per user permissions.

AITessl's blog post argues that teams should record agent mistakes as attributed, signed diary entries, then curate them into reusable context packs rather than adding unverified rules to files like AGENTS.md. The author describes a REST API case where an agent regenerated the OpenAPI spec and TypeScript client but missed the Go client, and the same lesson had to be re-taught in a fresh session.

AITessl argues that an AI-native organization collapses the handoff between people who own outcomes and the work itself, so product managers and designers can execute changes through agents. It says PR count and token spend are insufficient measures, and that merge rate better shows whether the new workflow is working. The article also says the boundary should follow decision authority, with engineers still owning architecture and data models.

AIThe author argues that system use cases, with actors, preconditions, scenarios, and acceptance criteria, work better than user stories as the input for AI code generation in enterprise business applications. He describes a process that skips the plan-and-task phase, reverse-engineers legacy systems into use cases and entity models for modernization, and recommends self-contained system verticals and risk-based review.

AIAI DevCon New York, running November 2–4 at Industry City in Brooklyn, centers its program on software factories, the systems needed to make agentic development repeatable, trustworthy and scalable. The article argues that moving from one developer using an agent to an engineering organization requires layers covering context and skills, harnesses and tools, orchestration, verification and evaluation, and feedback.

AIThe article explains how a software factory combines agents, tools, and engineering practices to take work from intent to verified output. It argues that teams should enforce domain rules, workflow gates, and tool permissions independently, version shared guidance and checks, and review lessons before reuse.

AIOpenAI's DevDay 2026 session demonstrates Codex shifting from a single-user tool to a team-oriented agent. The session shows a persistent personal agent investigating a 2am outage, from the first Slack message through a reviewed fix, using voice, Appshots, plugins, and meeting notes to keep the team informed.

AIOpenAI's DevDay 2026 video presents what's new in Codex across the CLI, app, and web. Live demos show moving from delegating individual tasks to having Codex tackle entire problems and goals. The source is a short description only, so no specific features or figures are confirmed.

AIOpenAI's DevDay 2026 session shows how its teams use ChatGPT to manage launches, research competitors, and turn expertise into tools. The source provides no further details on specific features, metrics, or availability.

AIA DevDay 2026 session from Higgsfield explores how its agents choose models and provision their own compute. It covers when to use dedicated GPUs versus hosted models, how to deliver predictable throughput, and where the approach can fail.

AIStack Overflow's small teams used Codex to build Stack Overflow for Agents and reimagine Stack Internal, according to a DevDay 2026 session. The talk covers lessons for accelerating R&D and bringing new products to market.

AIOpenAI's YouTube video shows developers how to build plugins for ChatGPT that run a custom interface alongside a conversation. The plugins can bring selected context into the user's work with ChatGPT, according to the source's description of plugin extensions through Meetings and OpenAI Developers.

AICornerstone OnDemand built Orion AI, a multi-agent system using Amazon Bedrock and the open source Strands Agents framework, that cut database diagnosis from 45 minutes to 10, a 78% reduction. The system also reduced manual lifecycle steps from more than 10 to a single interaction and filtered redundant alerts by a median of 65%. A three-person team delivered it in six months.

AITencent introduced roughly eight vertical AI agent products between July and September, each built on an existing business such as games, music, WeChat or video conferencing. CraftBuddy generates 2D and 3D games from natural-language prompts with more than 40,000 prebuilt art assets, while MusicBuddy adds an AI chat panel to multitrack music editing. The products extend the "Buddy" family alongside WorkBuddy and CodeBuddy.

AIThe Chinese Academy of Sciences Hong Kong Innovation Research Institute's CAIR centre launched CARES 4.0, a multimodal clinical agent system built on a Harness agent framework, at the 4th Hong Kong clinical robotics and embodied AI symposium. Unlike its predecessor, which only answered questions, CARES 4.0 can carry out tasks such as generating department reports and assisting diagnosis from CT, MRI, ultrasound, endoscopy and EEG data. The framework and general toolkit are released, with the medical toolkit to follow.

AINaive AI, a Tsinghua-linked company founded seven months ago, has raised $400 million across three rounds at a post-money valuation of $1.42 billion. The company's founder is Dai Jifeng, an associate professor in Tsinghua's Department of Electronic Engineering, and its team has not given interviews or published a product introduction.

AIZhang Lei, then a recent PhD graduate working mainly on image retrieval, beat a team led by face recognition expert Li Ziqing in a 2002 Microsoft Research Asia contest to build a face detection system. He cut the false-positive rate from roughly 50% to 1%, and the algorithm was integrated into Windows. Several members of his team later became prominent figures in China's technology industry.

AIElon Musk announced on X on October 7 that Grok Bot will select the most suitable backend model for each specific task, explicitly naming Claude Opus 5.5. The source text is truncated, so the full list of other models and any further details are not available.

AIOpenAI announced that GPT-6 is being rolled out to all ChatGPT users alongside a new Intelligent UI. The source provides no further details on capabilities or the interface.

AIMeta, Walmart, Stripe and Sierra Technologies are partnering on a Personal Agent Protocol that would define how AI agents interact with businesses online. Sierra co-founder Bret Taylor said it will handle authentication and give companies visibility into personal agents' activity, and it is open for anyone to implement. The effort responds to concerns from six major banks, which urged the industry last month to set standards around transparency, safety, privacy, choice and interoperability.

AIAtlassian announced the Agentic Multiplayer Protocol (AMP) at Team '26 Europe, a platform update designed to let humans and AI agents collaborate on shared context and tasks in one governed workspace. Agents receive administrator-assigned identities with defined authority and scope, and the company's Rovo Work mode handles multi-step tasks that humans review and approve. Atlassian's MCP server now exposes 200 tools and handles roughly 15 million tool calls daily.

AIKore.ai launched Autoloop, an optimization engine that automatically adjusts AI agents built on its Kore.ai Agent Platform to meet business-set goals, including after deployment. The engine scores each proposed change against goals such as task completion, business-rule adherence, accuracy and cost. Autoloop is available now to all customers on the Artemis edition of the Kore.ai Agent Platform.

AIInfor is building industry-specific AI agents on its Infor OS foundation and open architecture, according to CEO Kevin Samuelson. Infor says two in three businesses find off-the-shelf AI does not adequately address their industry's needs. The company pairs customers with forward-deployed engineers, and Samuelson says prototypes can now take one to three weeks.

AIInfor is developing industry-specific AI agents for industrial manufacturing, aerospace and defense, automotive, and food and beverage, built on its existing industry applications. Suresh Jayaraman, Infor's senior vice president of product management and development, said generic agents often fail to give deterministic answers and produce hallucinations. Infor's 2026.10 release adds guardrails through security and scopes, while agents still need human approval to move orders between customers.

AIContact center success is shifting from call speed and deflection toward resolution, with experts arguing that AI agents should be measured by "conversation to completion." Speakers at theCUBE's coverage said AI can handle high-volume, low-stakes calls while humans take complex issues, and that context must carry across AI-to-human handoffs.

AIMidwest Wheel Companies is building toward AI agents that fix problems, with senior vice president Steve McEnany saying the company ties new capabilities to a single Infor system as a point of reference. The company's AI features include a product recommender in order entry and automation that scans emailed PDF invoices into the system. McEnany said a human should stay in the loop for anything touching cash or accounts, and that data and rules must be checked before agents act.

AIAnthropic released Claude Haiku 5.5, a small model priced at about a quarter of Haiku 4.5's running cost. Anthropic also halved Sonnet 5.5 cache read prices from 20 cents to 10 cents per million tokens.

AINous Research, developer of the open-source Hermes AI agent, raised $90 million in a Series B round led by Robot Ventures, with Nvidia and Samsung participating. The company is now valued at $1.5 billion and says Hermes has been downloaded more than 24 million times. The source also reports $36 million in annualized revenue as of mid-September and expects it to exceed $100 million by year's end.

AIOpenAI says its GPT-6 models can generate visual, interactive answers in ChatGPT, such as charts, forms, and tappable buttons, when the model judges they help. Basic questions stay text-only, while users can request an interactive response at any time. The Intelligent UI is available now to Plus, Pro, Business, and Enterprise subscribers, with Free and Go users getting access the next day.

AIWall Street is increasingly letting AI agents interpret market information, so a bad source or missing context can spread into real-world decisions before anyone detects the error. The source article does not identify specific models, products, or institutions.

AIMeta's Muse AI agent has millions of users and can handle tasks such as refunds and insurance shopping. Its broad access to personal data is already producing unnerving mistakes.

AIThe S&P 500 closed above 7,800 for the first time, marking its first record close in nearly two months, while the Nasdaq Composite also hit a fresh all-time closing high. Chipmakers led gains, with Marvell Technology up 5.8%, Advanced Micro Devices up 3% and Broadcom up 3.7%. Investors are now watching Federal Reserve September meeting minutes and a $39 billion 10-year Treasury note auction.

AIManus, an AI agent startup, raised more than $500 million in a funding round led by Boyu Capital and IDG Capital, with follow-on investment from Tencent, HSG and ZhenFund. The company did not disclose its post-funding valuation, though Bloomberg reported last month it was set to double to $4 billion. The round follows Beijing's order blocking Meta's roughly $2 billion acquisition of Manus.