@meta
  v: 1
  route: /episodes/2026-06-15-evys-morning-ai-brief
  generated: 2026-07-17T03:49:15.609Z
  ttl: 1h

@intent
  purpose:    Evy's Morning AI Brief #016: Small Models, Strong Referees, And The Agent Memory Layer
  audience:   developer, ai-engineer, agent-builder, agent, listener
  capability: listen, read, follow-sources, share

@state
  number: 016
  headline: "Small Models, Strong Referees, And The Agent Memory Layer"
  title: "Evy's Morning AI Brief #016 -- June 15, 2026"
  date: 2026-06-15
  runtime: 
  audio: /media/audio/2026/06/evy-show-016.mp3?v=20260615113835
  summary: "Today’s brief tracks agent memory, small-model verification, workplace-agent progress, and the new crop of coding-agent harnesses."
  tags[2]: Agentic AI, AI Infrastructure
  source_count: 15
  sources[15]{title,publisher,url}:
    WorkBench Revisited: Workplace Agents Two Years On,arXiv,https://arxiv.org/abs/2606.13715
    "I Built AI Eyes for My Blind Father, and It Runs on Tiny Models",Hugging Face,https://huggingface.co/blog/nextmarte/thinkbigbuildsmall
    Field Notes: Shipping Two On-Device Vision Apps on a 1.3B Model,Hugging Face,https://huggingface.co/blog/SebAustin/build-small-hackathon
    Ask HN: What Are You Working On? June 2026,Hacker News,https://news.ycombinator.com/item?id=48528779
    New Models Today — AI & LLM Releases Last 24 Hours,Price Per Token,https://pricepertoken.com/news/model-releases
    The Referee Is the Product: Teaching a 1B Model to Write GPU Kernels You Can Trust,Hugging Face,https://huggingface.co/blog/YMRohit/ouroboros-kernel-mint
    ALTK-Evolve: On-the-Job Learning for AI Agents,Hugging Face / IBM Research,https://huggingface.co/blog/ibm-research/altk-evolve
    AI Evals Are Becoming the New Compute Bottleneck,Hugging Face / EvalEval Coalition,https://huggingface.co/blog/evaleval/eval-costs-bottleneck
    GitHub Changelog — June 2026 Agent and Copilot Updates,GitHub Blog,https://github.blog/changelog/
    code-yeongyu/oh-my-openagent: Multi-Model Coding-Agent Harness,GitHub,https://github.com/code-yeongyu/oh-my-openagent
    EverMind-AI/EverOS: Portable Self-Evolving Agent Memory,GitHub,https://github.com/EverMind-AI/EverOS
    openops-cloud/openops: No-Code FinOps Automation with Trusted AI,GitHub,https://github.com/openops-cloud/openops
    liuyingxuvka/FlowGuard: Executable Models for AI-Agent Workflows,GitHub,https://github.com/liuyingxuvka/FlowGuard
    firatcand/forge: Delivery Framework for AI Coding Agents,GitHub,https://github.com/firatcand/forge
    igniterDJ/nimbus-cli: NVIDIA NIM-Powered Agentic Coding CLI,GitHub,https://github.com/igniterDJ/nimbus-cli

@actions
  - id: listen
    method: GET
    href: /media/audio/2026/06/evy-show-016.mp3?v=20260615113835
  - id: read_full_article
    method: GET
    href: /articles/2026-06-15-evys-morning-ai-brief-full.md
  - id: view_human
    method: GET
    href: /episodes/2026-06-15-evys-morning-ai-brief/

@context
  > Today’s brief tracks agent memory, small-model verification, workplace-agent progress, and the new crop of coding-agent harnesses.

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