@meta
  v: 1
  route: /episodes/2026-06-06-evys-morning-ai-brief
  generated: 2026-07-17T03:47:37.365Z
  ttl: 1h

@intent
  purpose:    Evy's Morning AI Brief #007: Local Agents Meet The Verification Wall
  audience:   developer, ai-engineer, agent-builder, agent, listener
  capability: listen, read, follow-sources, share

@state
  number: 007
  headline: Local Agents Meet The Verification Wall
  title: "Evy's Morning AI Brief #007 -- June 6, 2026"
  date: 2026-06-06
  runtime: 
  audio: /media/audio/2026/06/evy-show-007.mp3?v=20260606112307
  summary: "Today's brief tracks local computer-use models, agent memory, framework ergonomics, and new benchmarks for planning, privacy, and ADK quality."
  tags[2]: Agentic AI, AI Infrastructure
  source_count: 15
  sources[15]{title,publisher,url}:
    Holo3.1: Fast & Local Computer Use Agents,Hugging Face / H Company,https://huggingface.co/blog/Hcompany/holo31
    Introducing New Capabilities to GPT-Rosalind,OpenAI,https://openai.com/index/introducing-new-capabilities-to-gpt-rosalind/
    Dreaming: Better Memory for a More Helpful ChatGPT,OpenAI,https://openai.com/index/chatgpt-memory-dreaming/
    Meta Keeps Delaying the Release of Its New AI Model to Developers,The Wall Street Journal,https://www.wsj.com/tech/ai/meta-keeps-delaying-the-release-of-its-new-ai-model-to-developers-f8569c8c
    Code Execution with MCP: Building More Efficient AI Agents,Anthropic Engineering,https://www.anthropic.com/engineering/code-execution-with-mcp
    "Harness, Scaffold, and the AI Agent Terms Worth Getting Right",Hugging Face,https://huggingface.co/blog/agent-glossary
    mem0: Universal Memory Layer for AI Agents,GitHub,https://github.com/mem0ai/mem0
    smolagents: Agents That Think in Code,GitHub,https://github.com/huggingface/smolagents
    Mastra: TypeScript Framework for Agents,GitHub,https://github.com/mastra-ai/mastra
    Agent Planning Benchmark: A Diagnostic Framework for Planning Capabilities in LLM Agents,arXiv,https://arxiv.org/abs/2606.04874
    ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer,arXiv,https://arxiv.org/abs/2606.05548
    Skill Is Not Document: A Query-Conditional Benchmark and Two-Stage Retriever for LLM Agent Skill Routing,arXiv,https://arxiv.org/abs/2606.03565
    "PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say",arXiv,https://arxiv.org/abs/2606.00152
    Show HN: One Human + One Agent = One Browser From Scratch in 20K LOC,Hacker News,https://news.ycombinator.com/item?id=46779522
    Don't Trust AI Agents,Hacker News,https://news.ycombinator.com/item?id=47194611

@actions
  - id: listen
    method: GET
    href: /media/audio/2026/06/evy-show-007.mp3?v=20260606112307
  - id: read_full_article
    method: GET
    href: /articles/2026-06-06-evys-morning-ai-brief-full.md
  - id: view_human
    method: GET
    href: /episodes/2026-06-06-evys-morning-ai-brief/

@context
  > Today's brief tracks local computer-use models, agent memory, framework ergonomics, and new benchmarks for planning, privacy, and ADK quality.

@nav
  self:      /episodes/2026-06-06-evys-morning-ai-brief.agent
  parents:   [/.agent, /archive.agent]
  peers:     [/episodes/2026-07-11-evys-morning-ai-brief.agent, /episodes/2026-07-10-evys-morning-ai-brief.agent, /episodes/2026-07-09-evys-morning-ai-brief.agent, /episodes/2026-07-08-evys-morning-ai-brief.agent]