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  • 20. März 2026

Hey-GPT.de – Daily GenAI News Digest

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Hey-GPT.de – Daily GenAI News Digest

Created and curated by AI – creative, sometimes delightfully imperfect

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If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent
I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong
Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2
Hermes Agent wrote a novel.
My Paperclip article hit 2.7 million views. The comment section was mostly made up of "cool demo", "it doesn't work", and "how do you handle" questions... This follow up article is to get some ideas
Installed Paperclip, Now What !?
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, ...
GitHub – zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
Stitch generates UIs for mobile and web applications, making design ideation fast and easy.
Stitch – Design with AI
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real i
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era.
This blog post explores how six key protocols, including MCP and A2A, simplify AI agent development by replacing custom integration code with standardized communication patterns. Learn how to use the Agent Development Kit (ADK) to build complex agents capable of managing real-time inventory, secure commerce via UCP/AP2, and interactive streaming interfaces. Discover how adopting these architectural standards creates more scalable, interoperable, and user-friendly AI solutions.
Developer’s Guide to AI Agent Protocols- Google Developers Blog
Learn agent observability and evaluation with LangSmith. This LangChain Academy course teaches you how to debug and test reliable AI agents using traces and evals.
Agent Observability & Evaluation: Build AI Agents Course
If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent
I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong
Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2
Hermes Agent wrote a novel.
My Paperclip article hit 2.7 million views. The comment section was mostly made up of "cool demo", "it doesn't work", and "how do you handle" questions... This follow up article is to get some ideas
Installed Paperclip, Now What !?
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, ...
GitHub – zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community
Stitch generates UIs for mobile and web applications, making design ideation fast and easy.
Stitch – Design with AI
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real i
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era.
This blog post explores how six key protocols, including MCP and A2A, simplify AI agent development by replacing custom integration code with standardized communication patterns. Learn how to use the Agent Development Kit (ADK) to build complex agents capable of managing real-time inventory, secure commerce via UCP/AP2, and interactive streaming interfaces. Discover how adopting these architectural standards creates more scalable, interoperable, and user-friendly AI solutions.
Developer’s Guide to AI Agent Protocols- Google Developers Blog
Learn agent observability and evaluation with LangSmith. This LangChain Academy course teaches you how to debug and test reliable AI agents using traces and evals.
Agent Observability & Evaluation: Build AI Agents Course
  • If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent

    I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong

  • Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2

    Hermes Agent wrote a novel.

  • test

    Running Next.js inside ChatGPT: A deep dive into native app integration – Vercel

  • Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution. - automazeio/ccpm

    GitHub – automazeio/ccpm: Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.

  • If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent
    GenAI Updates agent architecture, AI agents, AI development, autonomous agents, deep learning, Hermes Agent, LLM memory, machine learning, neural networks, open source, prompt engineering, system architecture

    I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong

    Weiterlesen
    Mike 20. März 2026
    Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2
    GenAI Updates AI agents, AI-generated content, automation, content creation, creative writing, deep learning, machine learning, natural language processing, Nous Research, novel writing, open source, text generation

    Hermes Agent wrote a novel.

    Weiterlesen
    Mike 19. März 2026
    My Paperclip article hit 2.7 million views. The comment section was mostly made up of "cool demo", "it doesn't work", and "how do you handle" questions... This follow up article is to get some ideas
    GenAI Updates AI research, automation, autonomous agents, continuous integration, deep learning, dev tools, machine learning, open source, project management, software engineering, startups, task automation, workflow automation

    Installed Paperclip, Now What !?

    Weiterlesen
    Mike 19. März 2026
If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent
20. März 2026
GenAI Updates

I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong

**I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong** If you’ve…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2
19. März 2026
GenAI Updates

Hermes Agent wrote a novel.

The Second Son of the House of Bells arrived like a quiet experiment that turned…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
My Paperclip article hit 2.7 million views. The comment section was mostly made up of "cool demo", "it doesn't work", and "how do you handle" questions... This follow up article is to get some ideas
19. März 2026
GenAI Updates

Installed Paperclip, Now What !?

Installed Paperclip, Now What !? Nick Spisak’s follow-up to his viral Paperclip post walks readers…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, ...
19. März 2026
GenAI Updates

GitHub – zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community

**GEO-First SEO Is Here, And It Changes How You Think About Visibility** If you’ve worked…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
Stitch generates UIs for mobile and web applications, making design ideation fast and easy.
19. März 2026
GenAI Updates

Stitch – Design with AI

If you’ve ever stared at a blank design canvas thinking, “Where do I even start?”,…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real i
18. März 2026
GenAI Updates

MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era.

A new post on X announces the release of **MiMo-V2-Pro & Omni & TTS**, described…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
This blog post explores how six key protocols, including MCP and A2A, simplify AI agent development by replacing custom integration code with standardized communication patterns. Learn how to use the Agent Development Kit (ADK) to build complex agents capable of managing real-time inventory, secure commerce via UCP/AP2, and interactive streaming interfaces. Discover how adopting these architectural standards creates more scalable, interoperable, and user-friendly AI solutions.
18. März 2026
GenAI Updates

Developer’s Guide to AI Agent Protocols- Google Developers Blog

Developer’s Guide to AI Agent Protocols Source: Google Developers Blog If you’ve ever dipped your…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
Learn agent observability and evaluation with LangSmith. This LangChain Academy course teaches you how to debug and test reliable AI agents using traces and evals.
18. März 2026
GenAI Updates

Agent Observability & Evaluation: Build AI Agents Course

**Agent Observability and Evaluation, How to Build AI Agents You Can Actually Trust** If you’ve…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
Build a complete agent memory system that lets an LLM store, retrieve, and refine knowledge across sessions—turning a stateless agent into one that learns and improves over time.
18. März 2026
GenAI Updates

Agent Memory: Building Memory-Aware Agents

**Agent Memory: Building Memory-Aware Agents** Have you ever noticed how most AI agents feel a…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen
AI has evolved from assistants following your directions to agents that act independently. Called claws, these agents can take a goal, figure out how to achieve it, and execute indefinitely—while…
18. März 2026
GenAI Updates

Run Autonomous, Self-Evolving Agents More Safely with NVIDIA OpenShell | NVIDIA Technical Blog

**Autonomous AI Agents Are Powerful. But Can You Actually Trust Them?** AI isn’t just answering…

Autoren-Bild
Mike
0 Kommentare
Weiterlesen

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Das hast du vielleicht verpasst

If you've read my previous posts on ChatGPT memory, Claude memory, and OpenClaw memory, you already know I keep coming back to the same question: how do these agents actually remember? Hermes Agent
GenAI Updates

I Read Hermes Agent’s Memory System, and It Fixes What OpenClaw Got Wrong

20. März 2026 Mike
Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: https://t.co/V1lIPkhHmX Code: https://t.co/HR91XrPgh2
GenAI Updates

Hermes Agent wrote a novel.

19. März 2026 Mike
My Paperclip article hit 2.7 million views. The comment section was mostly made up of "cool demo", "it doesn't work", and "how do you handle" questions... This follow up article is to get some ideas
GenAI Updates

Installed Paperclip, Now What !?

19. März 2026 Mike
GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, ...
GenAI Updates

GitHub – zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community

19. März 2026 Mike
Stitch generates UIs for mobile and web applications, making design ideation fast and easy.
GenAI Updates

Stitch – Design with AI

19. März 2026 Mike
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real i
GenAI Updates

MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era.

18. März 2026 Mike
This blog post explores how six key protocols, including MCP and A2A, simplify AI agent development by replacing custom integration code with standardized communication patterns. Learn how to use the Agent Development Kit (ADK) to build complex agents capable of managing real-time inventory, secure commerce via UCP/AP2, and interactive streaming interfaces. Discover how adopting these architectural standards creates more scalable, interoperable, and user-friendly AI solutions.
GenAI Updates

Developer’s Guide to AI Agent Protocols- Google Developers Blog

18. März 2026 Mike
Learn agent observability and evaluation with LangSmith. This LangChain Academy course teaches you how to debug and test reliable AI agents using traces and evals.
GenAI Updates

Agent Observability & Evaluation: Build AI Agents Course

18. März 2026 Mike
Build a complete agent memory system that lets an LLM store, retrieve, and refine knowledge across sessions—turning a stateless agent into one that learns and improves over time.
GenAI Updates

Agent Memory: Building Memory-Aware Agents

18. März 2026 Mike
AI has evolved from assistants following your directions to agents that act independently. Called claws, these agents can take a goal, figure out how to achieve it, and execute indefinitely—while…
GenAI Updates

Run Autonomous, Self-Evolving Agents More Safely with NVIDIA OpenShell | NVIDIA Technical Blog

18. März 2026 Mike
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