Hermes Agent Dominates the Week: OpenClaw on the Defensive
Thursday, May 14, 2026
Hello, this weekly newsletter takes you through the most important new videos from a curated selection of AI and coding YouTube channels. Each video comes with a compact summary, plus a daily overview of the dominant topics. If interested, simply click the link under the summary.
This week was dominated by the AI agent war between Hermes and OpenClaw. Alex Finn dedicated multiple videos to comparing the two tools, with Hermes emerging as the winner due to its reliability, self-improvement, and user-friendliness. Particularly highlighted were new Hermes features like the Cananband Board for multitasking and Slashgo for long-term tasks. OpenClaw, on the other hand, faced criticism for frequent updates that led to instability.
Another central topic was the strategic alliance between Anthropic and Elon Musk’s XAI, marked by a major computing power deal. This partnership could significantly shift the dynamics in the AI competition and strengthen Anthropic, which has struggled in recent months with reduced limits and less powerful models.
Beyond the major AI agent battles, there were also some interesting tutorials and workflows. Leon van Zyl demonstrated how to use free AI models for code creation with OpenCode and how to deploy the Hermes Agent as a coding agent. The new “Agent View” feature in Claude Code, which enables parallel work with multiple agents, was also showcased.
A particular highlight was Fireship’s video about a critical security vulnerability in the Linux kernel discovered by an AI tool. This once again demonstrates the importance of AI in uncovering security vulnerabilities and the role of tools like Code Rabbit in improving code quality.
Niklas Steenfatt
No new videos in this period.
Fireship (2 new videos)
- Every operating system concept in one video…
7.5.2026, 17:32:34The video explains in detail how an operating system works from the moment the power button is pressed until shutdown. It starts with the bootloader that loads the operating system, then moves on to privilege rings that separate kernel and application permissions. Virtual memory is described as a system that allows multiple applications to run in parallel without interfering with each other. The kernel builds the filesystem, loads device drivers, and enables interrupts that allow the system to respond to input. The kernel then starts the first process (PID1), which is the ancestor of all other processes. System calls enable applications to communicate with the kernel, and the scheduler manages CPU time for the many processes. Threads allow applications to perform multiple tasks simultaneously, and interprocess communication (IPC) enables different processes to communicate securely. Finally, the shutdown process is described, where all processes are terminated and the system is safely shut down.
The video covers operating systems and their components in general terms without mentioning specific tools or vendors, and is more suitable for intermediate or advanced viewers.
- 732 bytes of Python just borked every Linux machine on earth…
4.5.2026, 18:40:40The video covers a critical security vulnerability in the Linux kernel, called “copy fail” (CVE-2023-31431), which has existed since 2017 and was discovered by an AI tool. The vulnerability allows a local user to gain root access by writing four bytes into the page cache of a write-protected file. All Linux distributions updated after 2017 are affected. The vulnerability was exploited through a Python script that uses the ONC ESN protocol and the AF_AGL interface. Although the vulnerability is not remotely exploitable, it is strongly recommended to update systems. The video also mentions the role of AI in discovering security vulnerabilities and promotes Code Rabbit, an AI tool for improving code quality.
The video explicitly covers AI tools such as the AI agent tool used by Theori and Code Rabbit, and is intended for intermediate to advanced users.
Alex Finn (8 new videos)
- LIVE: The greatest Claude Code workflow ever
13.5.2026, 20:12:33The video showcases a detailed, advanced workflow for Claude Code that integrates various tools like Slack, Linear, GitHub, and Claude Code. The host explains how these tools work together to boost productivity, track changes, and organize development. The workflow includes creating tasks and projects in Linear, linking with GitHub for branch management, and leveraging Claude Code for automating and managing these processes. The host emphasizes the benefits of this workflow, such as increased speed, better error prevention, and improved traceability.
Additionally, the host discusses personal experiences and challenges, such as dealing with difficult times and the importance of perseverance. He also shares his thoughts on using AI tools like Claude Code and Codex, as well as their differences and use cases.
The video is designed for advanced users who already have experience with Claude Code and similar tools and want to optimize their workflows. It covers specific tools like Claude, OpenAI, and Linear.
- Hermes Agent powered by local models on the DGX Spark is basically magic
13.5.2026, 13:30:07The video demonstrates how to set up a Hermes Agent on a local model on an Nvidia DGX Spark to create a 24/7 available AI coworker. The process involves setting up the DGX Spark in headless mode, installing a local model (Quen 3.6 27B), and integrating the model into Hermes Agent. The creator demonstrates three use cases: a daily report on AI stocks for beginners, repurposing YouTube video content for advanced users, and vibe-coding a to-do list app for advanced users. The focus is on the benefits of local models, such as cost-free operation (aside from electricity), privacy, customizability, and educational value.
Concluding note: The video explicitly covers Nvidia DGX Spark, Hermes Agent, Quen 3.6 27B, and Tail Scale and is designed for intermediate to advanced users.
- LIVE: Talking AI news (no Hermes use cases ignore the thumbnail)
11.5.2026, 20:11:47The video is a live stream session that primarily focuses on discussing Hermes Agent and its use cases. The host, Alex Finn, begins with an introduction to Hermes Agent and emphasizes the importance of use cases for utilizing the technology. He mentions that Hermes has released a new website with hundreds of use cases that he and viewers will go through and test.
However, a large portion of the video is taken up by various tangents and discussions, including:
1. **Investment Corner**: Alex talks about current investment opportunities in the AI industry, particularly in companies like Nvidia, Micron, TSMC, and Tesla. He emphasizes the importance of current AI developments and the need to invest in the right companies.
2. **Personal Stories and Anecdotes**: Alex shares personal stories and anecdotes that are often humorous and entertaining but not directly related to the video’s main topic.
3. **Interaction with Chat**: A large portion of the video consists of interaction with the live chat, where Alex answers questions, makes comments, and engages with viewers.
4. **Hermes Agent Use Cases**: Toward the end of the video, Alex begins discussing some of the use cases from the new Hermes website. He mentions use cases such as creating research reports, managing tasks, and automating processes.
5. **Announcements and Updates**: Alex provides updates on his own projects and announcements, such as launching a second YouTube channel and attending a Baby Keem concert.
**Concluding note**: The video explicitly covers open-source AI models and tools like Hermes Agent and OpenClaw. It is more suited for intermediate to advanced users who already have some understanding of AI and its applications.
- Hermes Agent is blowing me away…
9.5.2026, 20:54:26The video compares the AI agents Hermes and OpenClaw, recommending Hermes due to reliability, self-improvement, and user-friendliness. The author describes the advantages of Hermes, including regular, thematic updates, a self-improving capability through use, and a strong emphasis on experimentation and local models. Installing Hermes is described as simple, with options for various models and communication services, with Telegram and Opus recommended. The author showcases three use cases: one for beginners who discover new AI tools daily, one for advanced users who perform daily proactive check-ins, and one for experts who create AI-generated videos. At the end, the author emphasizes the importance of brain-dumping and reverse-prompting to use the AI agent personally and effectively.
The video explicitly covers the AI tools Hermes Agent and OpenClaw and is more suited for intermediate and advanced users.
- LIVE: Anthropic and Elon just teamed up to take down OpenAI
6.5.2026, 20:12:34The video covers the strategic alliance between Anthropic and Elon Musk’s XAI (X.AI), characterized by a major computing power deal. Anthropic gains access to SpaceX’s Colossus-1 cluster, which will significantly enhance their ability to develop and train AI models. This partnership marks a turning point in competition with OpenAI, which has taken a dominant position in recent months with Codeex. During this time, Anthropic had been struggling with declining limits and less powerful models, which the new alliance aims to address. Elon Musk, previously critical of Anthropic, now provides massive computing resources, changing the dynamics of AI competition. The video also discusses Elon Musk’s long-term strategies, who may be focusing on larger goals like autonomous vehicles, space exploration, and robotics rather than staying in the AI chatbot competition. The alliance could lead to a new era of innovation and improvement in AI tools from which consumers will benefit. The video emphasizes the importance of using both leading AI tools, Claude Code and Codeex, to benefit from their respective strengths.
**AI Tools/Models/Providers:** Anthropic, OpenAI, Elon Musk (X.AI), Claude, Codeex, Grok, Gemini, Open-Source
**Target Audience:** Intermediate - Hermes Agent might have just killed OpenClaw
5.5.2026, 21:11:59The video presents Hermes Agent as a more reliable alternative to OpenClaw and covers seven new features that improve productivity and user-friendliness. These include:
1. **Kanban Board**: Enables multitasking through parallel processing of multiple task threads. A manager agent populates tasks with details and moves them through various statuses (Triage, To-Do, Ready, In Progress, Block, Done).
2. **Slashgo**: A high-level mission function that assigns long-term tasks to the agent that can be worked on over an extended period. The quality of the prompt is crucial for good results.
3. **Profiles (Multi-Agents)**: Allows the creation of multiple agents with their own memories and abilities to optimize performance and avoid overload.
4. **Model Catalog**: Simplifies switching and assigning models to specific tasks, improving cost control and efficiency.
5. **Compression**: By adjusting the compression threshold to 0.5, less drastic compressions are performed, improving memory retention.
6. **Curator Feature**: Automatically prunes rarely used skills every seven days to reduce bloat and maintain performance.
The video criticizes OpenClaw for frequent updates that cause instability and performance issues, and highlights Hermes’ targeted, reliable updates. It recommends using Hermes’ new features to boost productivity.
**Concluding note**: The video explicitly covers Hermes Agent and OpenClaw and is more suited for intermediate to advanced users.
- LIVE: Is Hermes better than OpenClaw? FINALE!!!
4.5.2026, 21:53:53The YouTube video shows a live stream in which the host tests various AI agents (OpenClaw and Hermes) in a competition called “Agent Olympics.” The stream is unusually long (3.5 hours) and is divided into various sections ranging from technical tests to personal discussions to spontaneous decisions.
**Content Summary:**
1. **Agent Olympics:**
– The host tests four combinations of AI agents (OpenClaw and Hermes with different backend models like ChatGPT and Opus) in five different tasks.
– The tasks include creating infographics, animated music videos, and other complex assignments.
– The results are evaluated live, with OpenClaw with Opus ultimately emerging as the winner.2. **Technical Discussions:**
– There are extensive discussions about the stability and reliability of the various AI agents, particularly Hermes, which is criticized for “compaction” errors (loss of work states).
– OpenClaw is praised for its consistency and user-friendliness.3. **Personal Topics:**
– The host discusses his sleep problems and experiments with various solutions like kiwis and magnesium.
– There are discussions about work methods, including the use of treadmills and standing desks, with the host expressing his preferences and dislikes.4. **Community Interaction:**
– Viewers are actively involved in the chat, asking questions and providing feedback.
– The host spontaneously decides to create a second YouTube channel called “Alex Finn Labs,” leading to an entertaining interaction with a viewer who has already reserved the desired channel name.5. **Announcements and Future Plans:**
– The host announces plans to release more videos about Hermes and multi-agent setups in the future.
– There is discussion about whether live streams should take place at later times to reach a broader audience.**Concluding note:**
The video explicitly covers the AI tools OpenClaw, Hermes, ChatGPT, and Opus. It is more suited for intermediate and advanced users as it covers technical details and advanced applications of AI agents. - LIVE: OpenClaw vs Hermes Agent: The ultimate showdown
1.5.2026, 20:48:54The YouTube video shows a live stream in which various AI agents are tested in direct comparison. The main participants are OpenClaw and Hermes, each running with the models ChatGPT and Opus. The stream is divided into several tests that evaluate the capabilities of the agents in different task areas.
1. **Test 1: Real-time Stock Dashboard**
– **OpenClaw with ChatGPT**: Fastest completion, but with an unsightly user interface (UI). The functionality was rated as solid.
– **Hermes with ChatGPT**: Slower and crashed the computer, resulting in a poor rating.
– **OpenClaw with Opus**: Slower than the ChatGPT version, but with a somewhat better UI and additional features like TradingView integration.
– **Hermes with Opus**: Best UI and functionality, but slower than OpenClaw with ChatGPT.2. **Test 2: Game Development**
– **OpenClaw with ChatGPT**: Fast, but unplayable game.
– **OpenClaw with Opus**: Playable, but not particularly entertaining.
– **Hermes with ChatGPT**: Unplayable and graphically poor.
– **Hermes with Opus**: Best graphics and playability, rated as actually entertaining.3. **Test 3: Website Cloning (Apple.com)**
– **Hermes with Opus**: First to finish, but below-average accuracy.
– **OpenClaw with Opus**: Better than Hermes with Opus, but not perfect.
– **OpenClaw with ChatGPT**: Most accurate, almost perfect.
– **Hermes with ChatGPT**: Perfect recreation using screenshots, but ethically questionable.The stream ends with Hermes with Opus in the lead, followed by OpenClaw with Opus and OpenClaw with ChatGPT. Hermes with ChatGPT falls significantly behind. The remaining tests will continue in the next live stream.
**Concluding note**: The video explicitly covers the AI models Claude (Opus), OpenAI (ChatGPT), and specific tools like OpenClaw and Hermes. It is more suited for intermediate and advanced users interested in the performance and comparison of AI agents.
Leon van Zyl (8 new videos)
- Codex CLI Tutorial: Build an AI Image Studio from Scratch
11.5.2026, 11:17:21This video shows how to build an AI image studio step-by-step for creating YouTube thumbnails, posters, banners, and other graphic content. The process begins with setting up a Next.js project using the Codec CLI tool, which is based on GPT-5.5 and a high reasoning level. A database is set up with Docker and Postgres, and necessary tables for user authentication are migrated.
The focus is on creating a user-friendly interface that allows users to upload reference images, write prompts, and generate images. The developer uses the capabilities of the Codec tool to design and test the user interface while adhering to a predefined design system. After designing the interface, the actual functionality is implemented using the OpenAI API key for the GPT-4 Image model. The developer shows how to upload reference images and assets and how to generate thumbnails that combine these elements.
At the end, the user interface is adjusted to ensure image generation only occurs through the dashboard and not from the homepage. The homepage is reworked with a generated image and marketing text. The video emphasizes the efficiency and time savings gained through using Codec and OpenAI, while also noting the token limitations of the ChatGPT Plus plan.
The video explicitly covers OpenAI (GPT-5.5, GPT-4 Image model) and Codec. It’s geared towards Intermediate and Advanced users as it covers advanced concepts like Docker, Postgres, Next.js, and API integration.
- Create Custom OpenCode Agents #Shorts #OpenCode #AICoding
10.5.2026, 07:00:16This video shows how to create custom agents in OpenCode. By default, there are two agents: “build” and “plan”. To create your own agent, you run the command `open code agent create` in the terminal. Next, you enter a description of the agent, for example, that an agent named John only responds with emojis. After creation, you can use the spacebar to specify which functions or tools the agent can access. You also choose the agent mode: either for primary and subordinate roles or just as a subordinate agent. The video demonstrates creating a subordinate agent named John and shows how the main agent delegates a task to John. You can track the work of the subordinate agent and view its reasoning and outputs. Finally, it’s emphasized that this is just a demonstration and in practice you could use more specific system prompts and tool access for subordinate agents.
The video covers OpenCode and is suitable for Intermediate users.
- OpenCode’s Best Hidden Feature #Shorts #OpenCode #AICoding
9.5.2026, 07:00:19This video explains how to set different models for different modes in open-source code. For example, you can use a powerful model like GPT-5 for planning mode and a fast, cost-effective model like Big Pickle for implementation mode (Bold Mode). Alternatively, you can use GPT-5.5 for planning but reduce effort by selecting the “/variants” command with the “low effort” option. This allows the planning to be created by an intelligent model while implementation can be handled by a less powerful but faster model.
The video covers open-source models and is more suitable for Intermediate users.
- I Turned Hermes Agent Into a Coding Agent
8.5.2026, 11:02:33This video shows how to use the Hermes Agent as a coding agent to create and deploy a web app online. The process includes setting up the Hermes Agent on a VPS, integrating with Telegram for communication, installing the Vercel CLI tool for deployment, and configuring the necessary skills for the agent. The creator tests whether the agent can create a personal portfolio page by scraping information from the creator’s YouTube channel and creating an appealing frontend design. The agent successfully creates the app, deploys it to Vercel, and provides a public URL to open the app in a browser. It’s also shown that the agent can make changes to the app and deploy them automatically.
The creator concludes that Hermes is suitable as a coding agent for simple tasks and quick dashboards, but not for complex software projects. The video explicitly covers Hermes Agent, OpenAI Codex, GPT 5.5, Vercel, and Telegram. It’s geared towards Intermediate and Advanced users.
- This free OpenCode trick saves thousands #opencode #aitools #hacks
7.5.2026, 13:38:39This video explains how to use free AI models for code generation in OpenCode. To do this, you first run the “connect” command and search for “OpenCode Zen” under providers. Next, you generate an API key via a provided URL, which is free. After entering the API key, you receive a list of supported models including Big Pickle, HY3, Minimax M2.5, and Nvidia’s Neurotron 3 Super. These models are powerful and completely free.
The video covers OpenCode and OpenCode Zen and is aimed at Intermediate users.
- I Built a Coding Agent That Runs Locally for Free
6.5.2026, 12:25:00This video introduces the open-source tool “Honeyfree”, which allows you to autonomously plan and implement software projects. You describe to the tool what you want to build, and it plans the features, adds them to a Kanban board, and implements them automatically. The tool supports various models like Alum Studio and Ollama and can also break complex tasks into smaller features. The creator demonstrates creating a simple to-do app and shows how new features can be added and implemented. The video emphasizes that this is now possible with free models, which wasn’t the case a few months ago. It also explains how to download models like Qwen 3.6 or JML4 and use them in Alum Studio or Llama Studio. The creator recommends increasing the context window length of the models to at least 64,000 tokens for better performance. The video also shows how to install and set up Local Forge to create and manage projects. It’s emphasized that while free models are good at writing code, they require more detailed instructions for better results. The creator recommends using a paid model like Claude to plan the features while using free models for actual implementation. The video ends with an invitation to sign up for a masterclass course teaching how to build applications with coding agents.
The video covers open-source models like Qwen 3.6 and JML4 as well as tools like Alum Studio, Llama Studio, and Local Forge. It’s more suitable for Intermediate and Advanced users who already have experience using AI models and developing software.
- OpenCode Tutorial for Beginners: Setup, Agents, Skills & MCP
5.5.2026, 12:33:17This video is a tutorial showing how to create a Next.js application using Open Code, an open-source AI tool. The process begins with installing and setting up Open Code, including connecting to various AI models and providers, both free and paid. The tutorial shows how to add agent capabilities like frontend design and Next.js skills to improve the quality of generated code. It also demonstrates how to use memory files and design systems to increase the consistency and efficiency of the agent. The tutorial continues with creating an application that allows users to input a rough idea of their app and receive a detailed project plan. The agent uses subagents to perform tasks in parallel and protect the main context. At the end, the application is tested and improved, with the agent completely reworking the UI and running automated tests. The video is suitable for Intermediate and Advanced users interested in AI-powered coding tools.
AI Tools/Models/Providers: Open Code (Open-Source), OpenAI, Anthropic, Gemini, OpenRouter, BigPikko, HY3, Minimax, Nvidia, Vercel, Cintra AI.
- I Built a Full App Using Only Cursor AI
4.5.2026, 11:01:35In this video, an AI-powered YouTube summarizer is developed using the Cursor tool. The process begins with creating a user interface that takes a YouTube URL and delivers a summary of the video. Requirements include a short summary (TLDR), five to eight key points, a “Watch these moments” section with timestamps and descriptions, and the original video link.
The creator uses Cursor and opts for the Composer 2 model to scaffold the project. He installs Next.js and the Shad cn library for the user interface. With Cursor’s agents, a basic user interface is created that meets the requirements. Subsequently, functionality is added to retrieve the transcript of a YouTube video using the YouTube Transcript API.
For AI-powered summarization, Cursor’s AI SDK is used to return structured data. The creator chooses the “anthropic/claud-2” model from OpenRouter and integrates the API key into a .env file. The agent then generates the summary, the TLDR, key points, and recommended moments from the transcript.
The video explicitly covers the tools Cursor, Composer 2, Next.js, Shad cn, YouTube Transcript API, AI SDK, and OpenRouter. It’s more suitable for Intermediate and Advanced users.
Leon van Zyl (1 new video)
- Claude Code Agent View: Parallel Agents Are Here
May 14, 2026, 10:51:58The video introduces the new “Agent View” feature in Claude Code, which enables managing multiple Claude Code sessions simultaneously. Previously, parallel sessions required opening multiple terminal windows, but this is now replaced by centralized control through Agent View. The feature allows starting, managing, and monitoring multiple background agents that perform various tasks such as logo creation, security audits, or automated code improvements. Sessions can be navigated and controlled through the Dispatcher view, and specific permission modes can be set for the agents. The video also demonstrates how Agent View can be used in combination with Git Worktrees to test and compare different application variants. The video is aimed at intermediate users and explicitly addresses Claude Code and its new Agent View feature.
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