Tag: agentic ai
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Google Open Sources Harness2 for Self-Improving AI Agents
On October 9, 2026, researchers from Google Cloud AI Research and Northwestern University posted Harness²: Recursive Agent Harnessing for an Open World and released the accompanying code on GitHub under the Apache 2.0 licence. The framework improves an AI agent’s harness — the prompts, tools, memory, skills and orchestration wrapped around a model — while […]
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Gemini 4 Argon Goes Global With a 1M-Token Output Limit
Lead — On October 13, 2026, Google opened general access to Gemini 4 Argon, the frontier model it announced on September 30 for long-horizon work in software engineering, enterprise knowledge work, and cyber defense. Argon is now available to developers and enterprises through the Gemini API in AI Studio and the Gemini platform, to Google […]
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Tencent Open-Sources Agent Memory: A Local Memory Hub for Agents
Tencent Cloud published TencentDB Agent Memory v2.0.3-beta.1 on October 13, 2026 — the newest release of an MIT-licensed memory system that gives AI agents persistent memory and runs on local SQLite storage by default. The project was first open-sourced in May 2026 and rebuilt in August around a team-level “memory hub” that shares what agents […]
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Meta Releases Muse Wonder, Its First Frontier Agent Models
On October 12, 2026, Meta’s Superintelligence Labs released Muse Wonder and Muse Wonder Full — the company’s first attempt at a frontier model. Both are built for long-running personal and professional agent work. Meta says the pair leads its own Personal Superintelligence Index and sets state-of-the-art marks on legal, finance, memory and long-horizon coding evaluations. […]
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Qwen Releases QwenGyre for Long-Horizon Agent RL Training
Alibaba’s Qwen team has detailed QwenGyre — an elastic reinforcement learning (RL) framework for training AI agents on what the authors call “extreme-long” (xLong) tasks, where a single execution spans hours, hundreds of model–environment interactions, and close to one million tokens. The paper, submitted to arXiv on September 27, 2026 and announced by the Qwen […]
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JetBrains Ships Mellum2.1, a 12B Open Model for Coding Agents
JetBrains released Mellum2.1 on October 8, 2026 — the next version of the 12-billion-parameter mixture-of-experts model it open-sourced in June. The architecture is unchanged, the license is still Apache 2.0, and the weights are on Hugging Face. What changed is everything after pre-training: JetBrains says the update was driven by scaling up reinforcement learning in […]
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Mistral Large 4: Europe’s 1T Open-Weight Model Enters Preview
On October 6, 2026, Mistral AI opened a public preview of Mistral Large 4 — a 1.05-trillion-parameter, natively multimodal model with 52 billion active parameters. Nicknamed “le Chonk” and unofficially ML4, it is the Paris-based lab’s largest model to date and, on Mistral’s own numbers, the strongest open-weight model developed outside China. The preview API […]
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DeepSeek Harness v0.2 Ships as a Desktop App for macOS and Windows
DeepSeek released DeepSeek Harness v0.2 on September 29, 2026, and with it the first official desktop installers for macOS (Apple silicon) and Windows. Seven weeks ago Harness debuted as a developer-preview agent runtime that you launched from a terminal with npx. It now installs like an ordinary desktop app: sign in, pick a local folder […]
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OpenAI Launches Dots, Always-On Agents Powered by GPT-6 Astra
OpenAI launched dots at DevDay on September 29, 2026: always-on personal agents, powered by GPT‑6 Astra, that run on their own cloud computers and keep working on your goals when you aren’t in the chat. OpenAI calls them “remarkably capable, always-on agents built to handle everything.” The pitch is a change of interaction model. You […]
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NVIDIA OpenShell Puts AI Agents in Kernel-Enforced Sandboxes
On September 28, 2026, NVIDIA launched the Open Agent Safety Platform, a two-part stack for containing autonomous AI agents. It pairs OpenShell, an Apache 2.0 open-source runtime that runs agents inside kernel-level sandboxes governed by declarative policy, with Sentry, a reference design that moves monitoring onto a separate BlueField-4 DPU. The design premise, in the […]