@meta
  v: 1
  route: /episodes/2026-07-11-evys-morning-ai-brief
  generated: 2026-07-17T03:49:01.134Z
  ttl: 1h

@intent
  purpose:    Evy's Morning AI Brief #042: Agent Infrastructure Outgrows The Model
  audience:   developer, ai-engineer, agent-builder, agent, listener
  capability: listen, read, follow-sources, share

@state
  number: 042
  headline: Agent Infrastructure Outgrows The Model
  title: "Evy's Morning AI Brief #042 -- July 11, 2026"
  date: 2026-07-11
  runtime: 
  audio: /media/audio/2026/07/evy-show-042.mp3?v=20260711111239
  summary: "Agent memory runtimes, skill optimizers, fleet managers, and speculative decoding prove the stack around models now drives progress as much as the models themselves."
  tags[2]: Agentic AI, AI Infrastructure
  source_count: 24
  sources[24]{title,publisher,url}:
    EverOS: Open-Source Markdown-First Agent Memory Runtime,MarkTechPost,https://www.marktechpost.com/2026/06/29/meet-everos-an-open-source-markdown-first-agent-memory-runtime-with-hybrid-bm25-vector-retrieval-and-self-evolving-skills/
    EverMind-AI/EverOS GitHub Repository,GitHub,https://github.com/EverMind-AI/EverOS
    "Introducing Omnigent: A Meta-Harness to Combine, Control, and Share Your Agents",Databricks,https://www.databricks.com/blog/introducing-omnigent-meta-harness-combine-control-and-share-your-agents
    Omnigent: Open-source AI Agent Framework and Meta-Harness,HelpNetSecurity,https://www.helpnetsecurity.com/2026/07/06/omnigent-open-source-ai-agent-framework/
    Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding,DeepReinforce,https://deep-reinforce.com/ornith_1_0.html
    DeepReinforce Releases Ornith-1.0: An Open-Source Coding Model Family,MarkTechPost,https://www.marktechpost.com/2026/06/25/deepreinforce-releases-ornith-1-0-an-open-source-coding-model-family-that-learns-its-own-rl-scaffolds/
    deepreinforce-ai/Ornith-1.0-9B Model Weights,Hugging Face,https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B
    Liquid AI's Smallest Model Yet LFM2.5-230M Beats Models 4x Its Size,VentureBeat,https://venturebeat.com/technology/liquid-ais-smallest-model-yet-lfm2-5-230m-beats-models-4x-its-size-at-data-extraction-can-run-anywhere
    LiquidAI/LFM2.5-230M Model Weights,Hugging Face,https://huggingface.co/LiquidAI/LFM2.5-230M
    "DeepSeek Releases DSpark, a Speculative Decoding Framework",MarkTechPost,https://www.marktechpost.com/2026/06/27/deepseek-releases-dspark-a-speculative-decoding-framework-that-accelerates-deepseek-v4-per-user-generation-60-85-over-mtp-1/
    DSpark Speculative Decoding: 57-85% Faster LLM Inference,DeepSeek AI,https://deepseek.ai/blog/deepseek-dspark-speculative-decoding
    DSpark: Confidence-Scheduled Speculative Decoding (arXiv:2607.05147),arXiv,https://arxiv.org/html/2607.05147v1
    SkillOpt: Agent Skills as Trainable Parameters,Microsoft Research,https://www.microsoft.com/en-us/research/blog/skillopt-agent-skills-as-trainable-parameters/
    microsoft/SkillOpt GitHub Repository,GitHub,https://github.com/microsoft/SkillOpt
    stablyai/orca: Agent Development Environment for Parallel Agents,GitHub,https://github.com/stablyai/orca
    Graphify-Labs/graphify: Queryable Knowledge Graph for AI Coding,GitHub,https://github.com/Graphify-Labs/graphify
    jamiepine/voicebox: Open-Source AI Voice Studio,GitHub,https://github.com/jamiepine/voicebox
    Multi-Agent AI Safety Cannot Be Fixed by Better Models Alone,TechTimes,https://www.techtimes.com/articles/319966/20260709/multi-agent-ai-safety-cannot-fixed-better-models-alone-study-shows.htm
    Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization,MarkTechPost,https://www.marktechpost.com/2026/06/20/cisco-ai-introduces-fapo-pipeline-aware-prompt-optimization-with-step-level-failure-attribution-and-claude-code-orchestration/
    Fully Automated Prompt Optimization (FAPO) GitHub Repository,GitHub,https://github.com/cisco-foundation-ai/fully-automated-prompt-optimization
    TencentDB Agent Memory: Four-Tier Local Memory Pipeline,MarkTechPost,https://www.marktechpost.com/2026/05/27/tencent-open-sources-tencentdb-agent-memory-a-4-tier-local-memory-pipeline-for-ai-agents/
    Eight More Months of Agents (HN Discussion),Hacker News,https://news.ycombinator.com/item?id=46933223
    GitHub Trending July 10 2026: AI Agents and Dev Tools,StartupCorners,https://startupcorners.com/digest/devtools-digest-2026-07-10
    MarkTechPost Open Source Technology Category,MarkTechPost,https://www.marktechpost.com/category/technology/open-source/

@actions
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    method: GET
    href: /media/audio/2026/07/evy-show-042.mp3?v=20260711111239
  - id: read_full_article
    method: GET
    href: /articles/2026-07-11-evys-morning-ai-brief-full.md
  - id: view_human
    method: GET
    href: /episodes/2026-07-11-evys-morning-ai-brief/

@context
  > Agent memory runtimes, skill optimizers, fleet managers, and speculative decoding prove the stack around models now drives progress as much as the models themselves.

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