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we've been hard at work tuning our harness for each model, making sure the model doesn't go in loops, putting large tool results in files to let the agent grep through it and not overload its context, and adding reminders in the loop to steer the agent towards favorable behavior. im stoked to see people enjoying our improved agent harness, we have more coming!

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leaders. If you’re attending GTC, we’d love to connect. At GTC 2026, several of the announcements we’re participating in highlight a core theme: AI systems are becoming more open, agentic, and production ready. Together AI, the AI Native Cloud, is designed to support this shift — helping developers train, shape, and deploy large-scale AI systems with the performance and cost-efficiency required for real-world applications. We are making multiple announcements today at GTC. NVIDIA has launched NV

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but extracting this information manually at scale is impossible. Our methodology analyzes news reports where flooding is a primary subject. We then use the Google Read Aloud user-agent to isolate primary text from 80 languages, which is standardized into English via the Cloud Translation API . The most critical step of the extraction process is done using the Gemini Large Language Model (LLM). We engineered a sophisticated prompt that guides Gemini through a strict analytical verification proce

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excited to announce that SGLang supports NVIDIA Nemotron 3 Super on Day 0. Nemotron 3 Super is a leading open model in the Nemotron 3 family, built for running many collaborating agents together. Agentic systems that chain planning, reasoning, and tools produce far more tokens than single-turn chat; they also need strong reasoning on every step. Nemotron 3 Super is a 120B-parameter hybrid MoE that activates only 12B parameters per forward pass, giving you leading accuracy for coding, tool calli

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On this page The use case: an on-device agent that acts on your files; The setup: local, realistic, and scaled; What it feels like: sub-second tool selection; A real workflow: receipts → structured data → report; Where LFM2 is strongest: structured domains; What we learned; Takeaway Building a local AI agent sounds great until you try to use one all day. The hard part isn’t getting a model to understand you, it’s getting it to choose the right tool and do it fast enough that the experience feels

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oftware teams. Every week brings new CVEs, Dependabot alerts pile up, and the backlog of security fixes grows faster than teams can address them. We've written before about how AI agents can help tackle this challenge at scale. Today, we're releasing Vulnerability Fixer, an open-source application that automates the process of finding and fixing security vulnerabilities in your repositories. But this release serves two purposes: it's both a useful tool and a reference implementation for building

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Today we’re releasing Devin 2.2, one of our biggest updates to Devin since launch. This release is a significant step towards our vision for Devin to be the most autonomous agent: it's now able to test its work with computer use, self-verify, and auto-fix its code. End-to-end testing with computer use Devin has always been able to use a browser to record and test web apps. Now, with full access to its own Linux desktop, Devin can launch and test desktop applications too. After creating a PR, Dev

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February 16, 2026 Ollama now supports subagents and web search in Claude Code. No MCP servers or API keys required. It works with any model on Ollama’s cloud. Subagents Subagents can run tasks in parallel, such as file search, code exploration, and research, each in their own context. Longer coding sessions stay productive. Side tasks don’t fill the context with noise. Some models will naturally trigger subagents when needed (minimax-m2.5, glm-5, kimi-k2.5), but you can force triggering subagent

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usage below 10GB, demonstrating efficient on-device speech recognition within consumer hardware constraints. Stock Brokerage App on Android The demo showcases the full spectrum of agentic capabilities in a voice-driven financial assistant, all running locally on the device. Users interact naturally through speech to retrieve their portfolio overview, check current stock holdings, view balances, execute transactions such as buying or selling specific stocks, conduct market research, assess overal

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ially have spread like lightning, letting our experts create systems that turn individual productivity into company-wide leverage." - Anna Marie Clifton, Director of Product, AI & Agents at Zapier” ““Deloitte is making this significant investment in Anthropic’s AI platform because our approach to responsible AI is very aligned, and together we can reshape how enterprises operate over the next decade. Claude continues to be a leading choice for many clients and our own AI transformation.” - Ranji

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intelligence. Our free endpoint has been upgraded to serve this new version. Today Z.ai released GLM-5, a frontier open weights foundation language model designed for long-horizon agents and systems engineering. The Modal Research team partnered with Z.ai ahead of public launch so we could test drive the model on our infrastructure. It’s delightful, smart, and fast. Internally, we’ve added it to our favorite AI frontends: the Vercel AI SDK, Claude Code, OpenCode, and OpenClaw. And now you can to

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PRs are now much more free of bugs and we can't go back. Two weeks ago, we built Devin Review, a new interface that helps you detect bugs and understand complex code in PRs. Why? Agents are generating code faster than teams can review them. The human bottleneck shifts from writing code to reviewing it. We found, however, that users would waste time copying & pasting between their coding agents and the review agent. Today, we're closing this loop. What we shipped Devin can now be configured to a

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Today, we are launching Lab. Built from the ground up for agentic post-training, Lab unifies the Environments Hub with Hosted Training and Hosted Evaluations into a full-stack platform for research and model optimization. Our platform enables the entire lifecycle of post-training research — from large-scale agentic RL, to inference and evaluation — without needing to worry about the costs of massive GPU clusters or the headaches of low-level algorithm details. Giving everyone their own frontier

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February 1, 2026 OpenClaw is a personal AI assistant that bridges your favorite messaging platforms to AI coding agents through a centralized gateway. It runs locally on your own devices, keeping your conversations and code private. OpenClaw integrates with WhatsApp, Telegram, Slack, Discord, iMessage, and other messaging services, allowing you to interact with AI coding agents from anywhere. Start by installing OpenClaw Windows Running with Ollama Once installed, you can launch OpenClaw directl

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t capturing scene-level style, mood, and physical realism, making it a great fit for early creative exploration and rapid iteration! " " We've been integrating Grok into our Video Agent at HeyGen. With Grok's latest video model, you can just prompt edits directly for quick tweaks, empowering our users to iterate on clips in minutes instead of completely leaving it to luck. Excited to see more capabilities unlock from Grok. " Start building with Grok Imagine API today! We offer: APIs and SDKs for

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As coding agents proliferate, the of PRs increases, but the quality of that code can be mixed, and the size of each PR is increasing past maintainers' ability to understand. We're hearing from our customers that code review—not code generation—is now the bottleneck to shipping great products. That's why we built Devin Review, a code review tool that uses state-of-the-art AI + UX to scale human understanding of ever-more-complex code diffs—whether authored by a human, or an agent. Devin Review is

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。” Reddit 和开发者论坛上的反弹十分激烈。一些用户报告在 intensive 编码 30 分钟内就达到了每日限制。其他人则完全取消了订阅，称新限制“是个笑话”且“无法用于真正的工作”。 Goose 对同一问题采取了截然不同的方法。 Goose 由 Jack Dorsey 领导的支付公司 Block 打造，是工程师们所称的“on-machine AI agent（本机 AI 智能体）”。与将你的查询发送到 Anthropic 服务器进行处理的 Claude Code 不同，Goose 可以完全在你本地计算机上运行，使用你自己下载和控制的开放源代码语言模型。 该项目的文档将其描述为“超越代码建议”，能够“使用任何 LLM 进行安装、执行、编辑和测试”。最后那句话——“任何 LLM”——是关键的区别所在。Goose 在设计上就是模型无关的。 如果你有 API 访问权限，你可以将 Goose 连接到 Anthropic 的 Claude 模型。你可以使用 OpenAI 的 GPT-5 或 Google 的 Gemini。你可以通过 Groq 或 OpenRouter 等服务来路由它。或

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with open-source models. Run Claude Code with local models on your machine, or connect to cloud models through ollama.com. Using Claude Code with Ollama Claude Code is Anthropic’s agentic coding tool that lives in your terminal. With Anthropic API support, you can now use Claude Code with any Ollama model. Configure environment variables to use Ollama: Run Claude Code with an Ollama model: Models in Ollama’s Cloud also work with Claude Code: It is recommended to run a model with at least 32K tok

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Update: Amp Free no longer shows ads. See the latest update. Every Amp user can now receive daily free credits to use the full Amp experience, including our frontier smart agent powered by Opus 4.5. No payment required, powered by ads—turn them off if you don't want free credits. If you're an existing user, go to user settings to enable ad-supported free credits. What You Get The free credit grant replenishes hourly, giving you a total of $10 worth of credits per day or roughly $300 of credits p

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n Grok. Citations you can trust. Every answer includes citations linking directly to source documents, with quote previews and highlighted relevant sections. Grok can also perform agentic search using our industry-leading Collections API via Projects . This is useful for when Grok needs to use a large document store as a primary source, such as a data room for analyzing legal documentation or building financial models. Apps Collection Search via Projects 0:00 / 0:00 0:00 / 0:00 Bring your compan

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