AI News Today | Julian Goldie Podcast

Hermes Agent FAQs: Multitasking, Kanban Projects, Claude vs Hermes, and Cutting API CostsThe script introduces Hermes Agent as a free, open-source AI agent that can generate voice, images, video, and text-to-speech and run autonomously in goals mode, then answers common FAQs from the AI Profit Boardroom. It explains how to manage multiple tasks using Hermes’ Kanban board to break big goals into sub-tasks, dispatch multiple projects, track progress and history, and optionally run multiple Hermes profiles via terminal commands; it also notes you can use multiple Telegram topics for separate projects. The speaker compares Hermes with Claude Cowork, emphasizing Hermes’ greater customization, open-source nature, and ability to use different APIs, while Claude Cowork is easier for non-technical users and more text-focused. It discusses when Hermes can replace tools like Screaming Frog (not when unique data is required, e.g., Ahrefs) and outlines ways to reduce token/API costs using memories (Obsidian), free model options like Step 3.7 Flash, and OAuth logins (Groq, Minimax, ChatGPT).00:00 Hermes Agent Overview00:28 Multitasking With Kanban01:33 Multiple Profiles And VPS02:54 Telegram Projects Setup03:20 Skills And Memory System04:32 Hermes Versus Claude06:13 Replacing SEO Tools07:33 Cutting Token And API Costs11:05 Wrap Up And Next Steps

Anthropic CLI for Claude: Run the API from Your Terminal & Manage Cloud AgentsThe script explains the newly launched CLI for Claude as a powerful, simpler way to use the Claude API from the terminal to run requests, test prompts, and manage cloud-based AI agents without writing code. It contrasts chat-based Claude usage with API-driven automation for businesses, using examples like customer support auto-replies, document summarization, and overnight pattern-finding across company files. It shows how the CLI enables piping outputs into other terminal tools, uploading files for cloud agents, tracing sessions step-by-step, exploring models, and listing managed agents, sessions, and uploaded files in one place instead of clicking through the console. It also clarifies that Claude Code “builds” tools while the CLI “runs” API requests, and they work together in an agent operating system setup with agents like research, support triage, code review, and SEO strategy.00:00 Claude CLI Launch00:40 Chat vs API Explained01:33 Why Businesses Need API02:16 ANSI CLI Basics02:43 Real World Use Cases03:36 CLI vs Claude Code04:16 Files Traces Cloud Agents05:20 Agent OS CLI Demo06:27 SEO Agent Example06:52 Wrap Up and Offer

OpenClaw vs Hermes: Which AI Agent Should You Use (and Why Hermes Is Winning)This episode compares OpenClaw vs Hermes to clarify differences, best use cases, and which to choose. The creator says Hermes is smoother, more user-friendly, and improves over time, while OpenClaw has historically been buggier and has declined in usage as Hermes overtakes it on OpenRouter trends. Both support similar model options (including free APIs via OpenRouter), but Hermes stands out with better-organized knowledge, features like Kanban boards, persistent goals, MCP catalogs, and the new Hermes Desktop app to make it easier to use without a terminal. For automating weekly routines and posting to WhatsApp/Telegram, Hermes is recommended; for long-term memory and tracking info, the creator suggests using Obsidian as an external memory system (optionally with Omi for automatic notes) connected to agents.00:00 Hermes vs OpenClaw Overview00:46 Popularity Trends on OpenRouter01:46 Features and Real Use Cases02:58 Docs and Unique Hermes Tools04:03 Hermes Desktop Release Explained04:53 Should You Use Both05:12 Sophia Q1 Automate Routines05:49 Sophia Q2 WhatsApp and Telegram06:08 Sophia Q3 Memory with Obsidian07:33 Obsidian Sync and Omi Notes09:05 Wrap Up and Final Differences09:43 Free Models via NewsPortal10:26 Outro and Resources

Hermes Desktop vs Agent Operating System: Which Should You Use?Hermes Agent has released Hermes Desktop, and this episode compares it side-by-side with an agent operating system for managing AI agents. The script explains that Hermes Desktop is a single, official app for running Hermes with limited customization, while an agent operating system acts as a mission-control dashboard where multiple agents (e.g., Claude, OpenClaude, Hermes, Gemini) can work together. Key differences highlighted include easier multi-agent orchestration, faster integration of new tools, deeper UI/workflow customization, better media and studio-style management, and more reliable setup for features like image generation and voice chat. The creator concludes Hermes Desktop is beginner-friendly and useful for a basic Hermes-only experience, but recommends an agent operating system for teams, custom workflows, and scalable agent coordination, and invites viewers to access their full setup via the AI Profit Boarding community.00:00 Hermes Desktop Launch00:22 Desktop vs Agent OS01:21 Why Multi Agent Wins02:17 Customization and UI Control03:12 Plug In New Tools Fast03:51 Media Studio and Speed Tests05:18 Voice Chat Sync Issues05:59 Custom Workflows and Tabs06:31 Hermes Roadmap and Growth07:07 Agent Teams Kanban Board07:44 Final Verdict and Recap09:33 Get the Full Setup10:25 Wrap Up and Goodbye

Hermes Desktop App Released: Install, Features, Settings, Tools & What’s MissingHermes has released a free official Hermes Desktop app bundled with Hermes Agent for Windows, Linux, and macOS, adding persistent memory, focused automation, web browsing, sandboxing, multi-tasking, and centralized conversations across platforms. The script walks through installing from the website, starting and pinning sessions, and configuring settings such as context window, model selection (e.g., Minimax M3), chat personality, appearance/themes, workspace options, persistent memory, and context compression thresholds. It also covers voice options and providers (xAI, ElevenLabs, OpenAI), gateway/API management for models and tools, and toggling skills/tools (including smart home controls). The reviewer notes drawbacks like poor artifact/file preview (opening in an external editor), incomplete session sync, missing Kanban-style mission control, and voice permissions/integration issues, while emphasizing it’s easier than terminal use and improved over prior unofficial desktop versions.00:00 Hermes Desktop Launch00:38 Download and Install01:19 Settings and Customization02:27 Voice and API Options03:16 Why Desktop Beats Terminal04:04 Artifacts and Sync Issues05:23 Skills and Smart Home Tools05:50 Testing Chat and Voice07:05 Missing Kanban Workflow07:37 How Hermes Desktop Works08:55 Agents Made Simple10:15 Desktop vs Agent OS11:31 Implementation Tips and Recap12:32 Community and Full Guide13:22 Final Goodbye

MiniMax M3 + Hermes Agent: Free 12-Hour AI Worker on Your Computer (Setup + Live Tests)The video introduces MiniMax M3, a new agentic and coding model from China, and shows how to connect it to Hermes Agent to create a free AI worker that can run autonomously for up to 12 hours, controlling apps, searching the web, scheduling tasks, and sending reports. It walks through setup using Hermes Agent with Ollama running in the background and selecting MiniMax M3, then demonstrates live agent tasks like opening ChatGPT in a browser and creating a note in the local Notes app. It notes potential speed limits when using Ollama’s cloud model and suggests using MiniMax’s coding plan for faster performance via OAuth. The video also previews a cloud-hosted Hermes option (Max Hermes) powered by M3 and explains the “brain (M3) + body (Hermes)” pairing, pricing, benchmarks, and agentic capabilities.00:00 Minimax M3 Launch00:36 Benchmarks and Setup01:09 Install Hermes and Ollama01:21 Connect Model in Terminal02:12 Live Agent Task Demos02:52 Speed Tips and Plans03:21 Max Hermes Cloud Option04:15 Brain vs Body Explained05:33 Performance and Open Weights06:04 Wrap Up and Resources06:41 Community and Full Guide07:27 Final Thanks

MiniMax M3 + Hermes AI: The Agent OS That Generates Images, Video, and Voice in One DashboardThe script demonstrates a “mission control” Agent Operating System built with MiniMax Studio and Hermes that generates images, videos, and voice in one interface, contrasting it with the old workflow of juggling multiple chatbots and apps where you act as the glue and AI forgets context. It argues the new approach is a team of AI agents (Hermes, Claude, OpenClaude) sharing memory in one dashboard, powered by the newly released MiniMax M3 (June 1) with about a million-word context window. The speaker highlights MiniMax’s internal tests claiming M3 can work autonomously for about 24 hours, making 1,959 moves and 147 attempts, outperforming models that quit after ~30 tries. The system saves outputs into organized workspaces, and the speaker promotes the AI Profit Boardroom for setup resources and coaching, noting M3 can be tried via Ollama and announced as open weights.00:00 Minimax M3 Shockwave00:04 Mission Control Demo01:05 Chatbot vs Agent Team01:50 Old Way Is Broken02:38 Agent OS Explained03:20 M3 Memory Upgrade04:34 Autonomy Marathon Benchmarks06:25 Hermes Body Meets M3 Brain07:43 Studio Workflow And File System09:03 Setup Help And Boardroom Pitch10:16 Try It With Ollama10:59 Connect The Dots And Final Call

Hermes Agent OS: The Mission Control Dashboard for AI Agents (10x Better Than Terminals)The script showcases Hermes Agent OS as a mission control center for managing and automating AI agents with a unified, visual dashboard. It contrasts the typical terminal-based Hermes workflow—hard to control, organize, and preview past work—with an Agentic OS interface that lets users preview creations, manage tools and skills, connect MCPs in one click, track agent status, and use a Kanban board to assign missions to teams of agents. The system supports building apps and agency tools, generating and previewing videos via built-in skills, and operating connected assets like NotebookLM, while maintaining persistent history and a local memory/knowledge-graph layer synced with an Obsidian vault. It emphasizes avoiding scattered tabs and context re-explaining, and highlights the system’s ability to evolve by quickly adding new models and workflows.00:00 Hermes Agent OS Overview00:49 Terminal vs Dashboard01:40 Kanban and Integrations03:05 Video Creation Workflow03:47 Memory and Knowledge Graph04:55 Old Way Problems05:49 Evolving Custom Workflows07:56 One Dashboard Architecture08:25 Free APIs and Smarter Agents09:02 Get the Setup and Community09:44 Wrap Up

China’s MiniMax M3: The AI “Night Shift” That Works 24/7 for a Fraction of the CostThe script introduces MiniMax’s new Chinese AI model M3 (released June 1) and claims it beats major U.S. models like GPT 5.5 and Gemini 3.1 Pro on certain coding benchmarks at a much lower price. It highlights an internal MiniMax test where M3 worked autonomously for 24 hours, making nearly 2,000 moves across 147 attempts without human intervention, noting the results are from MiniMax’s lab and not yet independently verified. The core idea is shifting from using AI as a single chatbot to running it as a coordinated “team” that can operate a “night shift,” continuing work while you’re offline. It describes integrating M3 into an agent operating system with shared memory and pairing it with Hermes as the “hands” to execute tasks, enabling image, video, and voiceover creation from one dashboard.00:00 MiniMax M3 Bombshell00:21 Benchmarks and 24 Hour Test01:02 Chatbot to AI Team01:48 The Night Shift Framework02:15 Agent OS Demo Setup02:50 Million Word Memory03:20 Multimodal Studio Powers03:50 Hermes Hands Integration04:15 Live Workspace Walkthrough05:32 Not Techy Setup Objection05:51 AI Profit Boardroom Offer06:39 Why This Model Matters06:58 Stubbornness Beats Quitting07:30 Putting the System Together08:07 Don't Wait Start Now08:43 Final Call to Build Yours

Claude + Agent OS: The Command Center That Fixes AI Memory, Chaos, and BusyworkThe script explains why using Claude (or any single AI) feels frustrating because it forgets context when you return, forcing you to start over, and contrasts this with an “agentic operating system” that puts all your AI agents on one dashboard with shared memory. The speaker describes a command center where agents like Hermes, OpenClaude, Claude, and others work side-by-side, track what you did yesterday, and store knowledge via an Obsidian-based memory vault. The system includes mission control, individual agent rooms with chat and a live workspace for outputs (images, videos, podcasts), plus a Kanban board agents can move tasks through, a journal, goals page, and a studio for content creation. The speaker claims thousands of business owners have set it up, offers a zip file, tutorials, updates, and coaching via the AI Profit Builder/Boardroom.00:00 Why Claude Forgets00:25 Meet Agent OS00:56 Operating System Analogy01:53 Command Center Dashboard02:47 Inside Each Agent Room03:28 Shared Memory Vault04:33 Beginners Can Do It05:10 Get The Full Setup05:43 Kanban Tasks And Studio06:55 Agents Work While You Sleep07:38 Honest Limits Real Tools08:10 OS Outlasts Agents08:23 Handling Common Doubts09:22 The Real Edge Today09:46 Your Next Step10:10 Time Back And Final CTA