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Hermes

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EVENT TIMELINE

7

RESEARCH · 1 SOURCE · arXiv cs.AI

arXiv paper shows 'warped' tool output formatters can mislead agents and verifiers

A new arXiv preprint (arXiv:2610.32110v1) demonstrates that tool output formatters which omit metadata (like search limits, result caps, or identifier namespaces) can cause agents and their automated verifiers to produce or accept incorrect answers; the authors reproduce failures in a production RAG system used at the Pilsudski Institute and find warped formatters in open-source agents OpenClaw and Hermes, opening PRs to fix them (OpenClaw's fix merged).

7.0

COMPANIES · 1 SOURCE · The Verge AI

Microsoft readies Windows for Nvidia RTX Spark AI laptops with agent store, Prism tuning, and unified memory tweaks

Microsoft and Nvidia showcased RTX Spark laptops and Microsoft has updated Windows to better support local AI agents and Arm‑based RTX Spark hardware. Changes include a new Get Started flow and Windows Store integration for AI agents (Hermes, Perplexity, OpenClaw at launch), Prism emulator optimizations for x64 emulation on Arm, and unified memory and power/performance tuning (e.g., Surface Laptop Ultra support up to 128 GB unified memory and an Nvidia app slider for GPU memory allocation).

7.0

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

DigitalOcean launches Managed Agents in public preview

DigitalOcean launched DigitalOcean Managed Agents in public preview, a managed cloud infrastructure layer for AI agents that combines a microVM-based Harness Runtime for persistent, isolated agent sessions and an Action Gateway that centralizes and governs tool access (via an MCP endpoint) with connectors to many services; features include pause-when-idle sessions, parallel execution, security-hardened compute/storage, and access to over 16,000 tools.

6.0

STARTUPS · 2 SOURCES · WIRED AI · The Verge AI

Rabbit releases OS3, a cross‑platform agentic operating system usable without the R1

Rabbit announced OS3, a cloud‑backed, cross‑platform agentic operating system (also delivered as an R1 update) that can be accessed via browser, Telegram, iMessage, or a local agent node on Windows/Mac/Linux. The company says OS3 uses its DLAM (Direct Large Action Model) to execute local software tasks (including writing and debugging code), links up to five machines per account, and will be the software foundation for a forthcoming ‘cyberdeck’ device rather than an R2.

6.0

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA outlines agentic Omniverse Libraries workflow to make Blender scenes SimReady

NVIDIA demonstrates an agentic workflow using Omniverse Libraries and OpenUSD to prepare Blender scenes for robotics simulation by adding semantic labels, physics (via ovphysx), sensor definitions, preflight rendering (ovrtx), and SimReady validation. The post describes a coordination layer where a general-purpose agent (referred to as Codex, noted as using OpenAI 'GPT-6 Astra' in the article) delegates to specialized Hermes subagents deployed through NemoClaw to run the specific tooling and validation, with examples available in the Omniverse Labs GitHub repo.

5.0

COMPANIES · 2 SOURCES · The Verge AI · TechCrunch AI

Google opens Google Home to third‑party AI agents via Model Context Protocol (MCP)

Google Home now supports a Home MCP integration using the Model Context Protocol that lets third‑party AI agents (e.g., Claude, OpenClaw, Hermes, Google Antigravity) access device state and event history, control supported devices (with enforced safety limits), build custom dashboards, and interact via voice. The feature is initially limited to Google Home Premium Advanced users in the US, requires creating a Google Cloud project, and Google warns agents can produce unexpected behavior despite rate limits and protections (e.g., agents are not allowed to unlock doors).

8.0

MODELS · 1 SOURCE · Ars Technica

Ars Technica: Claude, Codex, and Hermes outputs left 227 install commands pointing to unowned code in corporate docs

Ars Technica reports that 227 install commands were discovered in corporate documents that point to external code without clear ownership, and that those commands are associated with outputs from AI models including Claude, Codex, and Hermes. The finding raises questions about AI-generated artifacts introducing third‑party or unowned code into enterprise environments.

7.0