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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 !?

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 !?

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

Open source implementation of Poke . Contribute to shlokkhemani/openpoke development by creating an account on GitHub.

17. Oktober 2025

GenAI Updates

GitHub – shlokkhemani/openpoke: Open source implementation of Poke

OpenPoke: A Lightweight, Open-Source Multi-Agent Assistant You Can Run Locally What this post covers: This…

Read the latest news and posts about Agent Factory from Microsoft's team of experts at Microsoft Azure Blog

17. Oktober 2025

GenAI Updates

Agent Factory | Microsoft Azure Blog | Microsoft Azure

Agent-Ready Enterprises: Azure AI Foundry and the New Path to Trusted Agents This post explains…

Level up AI agent quality with Databricks and OpenAI.

17. Oktober 2025

GenAI Updates

The Future of AI: Build Agents That Work

Ship Quality AI Agents with Agent Bricks — Practical Guidance from Databricks and OpenAI What…

It turns out we

17. Oktober 2025

GenAI Updates

Code Mode: the better way to use MCP

Code Mode: Why Letting LLMs Write TypeScript Beats Direct Tool Calls This post explains a…

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

17. Oktober 2025

GenAI Updates

Effective context engineering for AI agents

Context Engineering: Designing Attention for Reliable AI Agents Introduction Context Engineering: Designing Attention for Reliable…

Open source codebase powering the HuggingChat app. Contribute to huggingface/chat-ui development by creating an account on GitHub.

17. Oktober 2025

GenAI Updates

GitHub – huggingface/chat-ui: Open source codebase powering the HuggingChat app

Deploying a Local Chat UI with Hugging Face’s Chat-UI — Practical Setup and Trade-offs This…

Build real-time voice AI agents, from simple to multi-agent podcast systems, using Google’s Agent Development Kit.

17. Oktober 2025

GenAI Updates

Building Live Voice Agents with Google’s ADK

Building Live Voice Agents with Google’s ADK — Quick Navigation & Course Tips This post…

12 Lessons to Get Started Building AI Agents. Contribute to microsoft/ai-agents-for-beginners development by creating an account on GitHub.

17. Oktober 2025

GenAI Updates

Agents 2.0: From Shallow Loops to Deep Agents

From Shallow Loops to Deep Agents: Engineering AI for Long, Multi‑Step Workflows This post explains…

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. - microsoft/agent-framework

17. Oktober 2025

GenAI Updates

ai-agents-for-beginners/14-microsoft-agent-framework at main · microsoft/ai-agents-for-beginners

Microsoft Agent Framework — A Practical Foundation for Multi‑Language Agentic Systems This post explains what…

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & met...

17. Oktober 2025

GenAI Updates

Just Talk To It – the no-bs Way of Agentic Engineering | Peter Steinberger

Real Work with Agents — Practical Workflow Notes from an Agentic Engineer This post summarizes…