AI Coding Live News

BoxWorks 2026: Box and NVIDIA Unveil Box Context Retrieval, Permission-Aware Retrieval for Enterprise Agents Built on Nemotron Retriever, Plus Box Architect and Box Mount

At BoxWorks 2026 on November 5, Box announced an expanded NVIDIA collaboration: Box Context Retrieval, a new engine built on NVIDIA Nemotron Retriever embedding models, combines keyword and semantic search to return the most relevant passages to AI agents while honoring existing file permissions, with general availability for Enterprise Advanced customers planned for early next year. Box's press release claims 20% better search accuracy (Recall@5), 90% fewer tokens and 4x faster answers. Open-weight Nemotron models, starting with Nemotron 3 Ultra, are available in Box AI now. Box also unveiled Box Architect, which designs workflows from a stated goal; Box Mount, which mounts Box folders inside agent sandboxes and works with NVIDIA OpenShell; and agent security controls including MCP Guardrails.

BoxWorks 2026: Box and NVIDIA Unveil Box Context Retrieval, Permission-Aware Retrieval for Enterprise Agents Built on Nemotron Retriever, Plus Box Architect and Box Mount

Key Takeaways

  • Box Context Retrieval uses NVIDIA Nemotron Retriever with hybrid keyword and semantic search, honoring existing file permissions
  • Vendor claims: +20% Recall@5 accuracy, 90% fewer tokens, 4x faster answers; GA for Enterprise Advanced early next year
  • Open-weight Nemotron models, starting with Nemotron 3 Ultra, are available in Box AI now
  • Box Mount puts Box folders inside agent sandboxes and works with the NVIDIA OpenShell secure runtime
  • New agent security controls include MCP Guardrails, classification-based access policies and audit trails
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⚡ Nemotron 3 Ultra⚡ Nemotron Retriever🌐 box🌐 Nvidia (NIM)

IBM Granite 4.2 lands on Ollama: 3B/8B/30B Apache-2.0 models for enterprise agents

Ollama added IBM Granite 4.2 in 3B, 8B, and 30B sizes, Apache 2.0, free for research and commercial use. The family is aimed at enterprise agents: coding, RAG, tool use, structured JSON, multilingual chat, and a built-in thinking mode, with data and training run through IBM GRC and document-quality reviews. Context is 128K; ollama run granite4.2 is enough to start locally. For teams that cannot send code off-network but still want a reason-on/off small model with a commercial license, it is a compliance-friendly local agent base.

Key Takeaways

  • Granite 4.2 ships 3B/8B/30B under Apache 2.0 for research and commercial use.
  • Targets enterprise agents: coding, RAG, tools, JSON, multilingual, plus togglable thinking.
  • GRC-screened training data; 128K context on Ollama via ollama run granite4.2.
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Microsoft .NET Combines Copilot Coding Harness with Agent Framework for Governed Enterprise Agents

Microsoft's .NET team announced production stability for the GitHub Copilot coding harness combined with Microsoft Agent Framework across .NET and Python, featuring MCP tools, sandboxes, and approval workflows.

Key Takeaways

  • Packages enterprise agent runtimes into a governed harness featuring granular approvals and full observability;
  • First-class support for MCP tools, bash shell execution, and URL extraction across .NET and Python;
  • Integrates with Azure Container Apps sandboxes to provide secure isolation for untrusted agent code.
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Groq Deploys NVIDIA Groq 3 LPX Alongside Vera Rubin NVL72 for Production Agent Inference

Groq announced early cloud deployment of NVIDIA Groq 3 LPX systems paired with Vera Rubin NVL72 in partnership with Dell, creating a multi-architecture ultra-low latency inference fleet for enterprise agents.

Key Takeaways

  • Groq evolves into a hybrid inference cloud operating custom LPX chips alongside NVIDIA Vera Rubin NVL72;
  • Partnership with Dell accelerates enterprise-grade low-latency data center deployments;
  • Engineered for high-concurrency autonomous coding agents requiring sub-second multi-step iterations.
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