FREE Hermes + OpenClaw AI Agents Course: Build & Automate ANYTHING

Introduction to Hermes and OpenClaw AI Agents

Overview of the Course

• This course introduces Hermes and OpenClaw, two powerful AI tools that automate tasks without requiring coding or a large budget.

• The combination of these tools allows for the creation of 24/7 AI employees that improve over time, revolutionizing automation.

Significance of Hermes and OpenClaw

• Hermes is highlighted as a new player in the AI agent space, capable of learning independently without retraining.

• OpenClaw is recognized for its ability to connect various AI tools and manage tasks effectively.

Comparing Hermes and OpenClaw

Distinct Functions

• OpenClaw serves as a control center for orchestrating multiple AI tools, while Hermes focuses on evolving intelligence by learning from interactions.

• Both systems have persistent memory but differ fundamentally in their approach: OpenClaw uses predefined skills whereas Hermes creates its own skills automatically.

Use Cases for Each Tool

• Users can leverage both tools depending on their needs; they are not replacements but rather complementary solutions in the realm of automation.

Practical Applications of Hermes

Key Use Cases

1. Automated Research Assistant: Hermes can conduct daily research without repeating previous findings, making it ideal for content creators and businesses.

2. Daily Reports: It generates scheduled reports on various topics like performance data or competitor analysis autonomously each day.

3. Personal AI Assistant: Unlike traditional chatbots, it remembers user preferences and projects, providing a more personalized experience.

4. Workflow Automation: Tasks can be chained together with improved efficiency over time due to self-learning capabilities.

Challenges and Limitations of Hermes

Current Limitations

• As an early-stage tool, Hermes may overwrite preferred behaviors during its learning process; users need to monitor its development closely.

• Integration options are currently limited compared to established tools but are rapidly expanding as community support grows around it.

Introduction to Paperclip

Managing Multiple AI Agents

• Paperclip allows users to manage various AI agents (including Hermes and OpenClaw) within one platform efficiently, promoting an autonomous zero-human company model.

Setting Up Paperclip

• The setup process involves creating folders locally via GitHub; it's designed for ease of use with minimal technical knowledge required from users.

Features of Paperclip

Organizational Structure

• Users can assign roles such as CEO or CMO to different agents within Paperclip, allowing them to work collaboratively towards common goals.

Task Management

• Each agent operates on a schedule ensuring consistent task execution without manual prompting from users.

Conclusion

Final Thoughts

• While both Paperclip and Multica offer unique features for managing AI agents, many find Paperclip provides better control and customization options.

• Users are encouraged to explore both platforms based on their specific needs in automating workflows with AI agents.

Creating a Profit Boardroom Marketing Strategy

Project Setup

• The first project is named "Profit Boardroom Marketing Strategy," allowing for member and agent additions.

• A shareable link for the project is available, enhancing collaboration among team members.

• The agent appears idle when not assigned tasks; it resumes activity upon receiving new assignments.

Task Management

• New ideas are generated to grow the AR profitable community, with task status set from planned to in progress and priority marked as medium.

• Communication with agents occurs through an inbox feature, facilitating task assignment and updates.

Organizing Team Tasks Efficiently

Task Assignment

• A backlog system categorizes tasks into to-do lists, in-progress items, reviews, completed tasks, and blocked issues.

• New SEO keyword research is assigned to the marketing agent to improve website ranking on Google.

Collaboration Among Agents

• Multiple agents can be added easily; instructions are provided for proactive automation suggestions in marketing strategies.

• Tasks are created for organizing AI teams and mapping out necessary roles within the profit boardroom.

Managing Agent Runtimes

Overview of Agent Operations

• All agents operate within a shared workspace regardless of their individual configurations or types (e.g., Claude, OpenClaw).

• Runtimes provide insights into each agent's input/output metrics and token usage while testing connections.

Workspace Settings

• Users can invite real team members alongside managing repositories associated with their agents.

Progress Tracking and Updates

Monitoring Agent Activity

• The dashboard reflects real-time updates on agent activities such as task completion status and token usage metrics.

Routine Management Features

• Future features include creating multiple workspaces for different teams of agents.

Comparing AI Agents: Hermes vs. OpenClaw

Performance Insights

• Multica serves as a platform where AI agents function like employees with profiles, tasks, communication capabilities, and progress tracking.

User Experience Comparison

• Both Hermes and OpenClaw have strengths but also face reliability issues due to frequent updates that may cause bugs or failures.

Choosing Between Hermes and OpenClaw

Personal Preferences

• The speaker prefers Hermes due to its reliability over time compared to OpenClaw which often breaks during use.

Usage Strategies

• Users often employ both tools together; Hermes acts as a supervisor for OpenClaw in some setups.

Community Support & Learning Opportunities

Training Resources

• Access to comprehensive training courses on both Hermes and OpenClaw is available within the community platform.

Networking Opportunities

• Weekly coaching calls allow users to ask questions about their setups while connecting with others who share similar interests in AI projects.

Introduction to Hermes Dashboard

Setting Up Hermes

• The setup process for Hermes is straightforward; pressing enter uses the default configuration.

• To access the dashboard, users need to type "Hermes dashboard," which launches a new web UI.

Overview of the New Dashboard

• The updated dashboard from Hermes v0.9 features a cleaner interface compared to previous versions and competitors like OpenClaw.

• Key elements displayed include active sessions, connected platforms (e.g., Telegram), and recent chat history.

Comparing Hermes and OpenClaw

User Experience

• Users find the Hermes interface more user-friendly and visually appealing than OpenClaw's complex setup.

• The dashboard provides comprehensive analytics over different time frames (7, 30, 90 days), enhancing understanding of usage patterns.

Session Management

• Users can track API calls, session counts, and model usage easily through the new dashboard.

• A log section allows users to monitor errors and gateway activities effectively.

Task Scheduling and Skills Management

Managing Scheduled Tasks

• Users can manage scheduled tasks directly from the dashboard, allowing for easy triggering or pausing of tasks.

Skills Overview

• The skills section lists all configured skills with their current status (active/inactive), categorized by type (media, creative).

Configuration Options in Hermes

General Settings

• Users can configure general settings such as model selection and fallback providers within the config section.

Agent Customization

• Advanced users have options for maximum customization regarding agent settings but may not require extensive adjustments.

LLM Providers Integration

API Key Management

• The key management section simplifies adding various LLM providers and managing API keys efficiently.

Features of Hermes v0.9

Major Updates

• Version 0.9 introduces a user-friendly web dashboard that replaces terminal commands for controlling Hermes.

Fast Mode & Mobile Compatibility

• Fast mode allows quicker responses by switching to priority servers during chats with models like GPT or Claude.

Mobile Functionality

• Users can now run Hermes on Android devices using Termux, enabling continuous operation without needing a computer.

Background Monitoring & Security Enhancements

Background Process Monitoring

• New background monitoring features allow Hermes to watch for specific keywords while running tasks autonomously.

Backup & Restore Capabilities

• Users can back up their settings easily; this feature supports seamless transitions between different setups or computers.

Security Improvements

• Significant security fixes enhance overall system integrity alongside pluggable context engines for memory management.

Recap of Key Features

Summary of Benefits

• Version 0.9 is dubbed "Everywhere" due to its extensive updates including mobile compatibility across multiple messaging platforms like iMessage and WeChat.

Getting Started with Hermes

• Installation involves running "Hermes update" followed by "Hermes dashboard" for initial setup guidance.

Comparing OpenClaw and Hermes Agent

Overview of Features

• Both OpenClaw and Hermes provide multi-platform access, supporting various messaging apps like WhatsApp, Telegram, Discord, Slack, Signal, iMessage (OpenClaw), plus email and Matrix (Hermes).

• Hermes offers a broader range for experimentation with model support compared to OpenClaw.

• OpenClaw features ClawHub for skill sharing; Hermes connects to agent skills.io and can automatically create its own skills after completing tasks.

Memory and Skills

• Both tools excel in remembering user context and preferences over time, enhancing the user experience beyond standard chatbots.

• Hermes allows for isolated sub-agents that can run parallel tasks independently, a feature not available in OpenClaw.

New Features in Hermes Visero 5.0

Key Updates

• The new portal supports over 400 models without juggling multiple accounts or API keys; Hugging Face is now integrated as a first-class provider.

• Telegram's private chat topics allow project-based conversations with different skills assigned to each topic within one chat.

• Reliability fixes have been implemented for GPT models to prevent them from merely describing actions instead of executing them.

Security Enhancements

• Over 50 security fixes were introduced including dependency management improvements and CI scanning for supply chain attacks.

Choosing the Right Tool

User Recommendations

• For non-technical users seeking a smooth personal assistant experience on platforms like WhatsApp or Telegram, OpenClaw is recommended due to its fast setup and active community support.

• Technical users looking for advanced automations, model flexibility, or self-hosted security should consider Hermes due to its rapid development pace.

Practical Tips for Using AI Tools

Getting Started

• Start by selecting one messaging app rather than trying to connect all at once; begin with simple tasks like searching or summarizing.

• Provide context about your projects early on to enhance memory effectiveness; both tools offer built-in skills covering various workflows.

Community Resources

Learning Opportunities

• AI Profit Boardroom offers practical guidance from over 2,000 members sharing effective AI implementations.

• The video emphasizes the importance of understanding how these agents work persistently within existing applications rather than just being another browser tab.

Introduction to OpenClaw

Development Background

• OpenClaw was created by indie developer Peter Steinberger as a personal project that gained popularity quickly. It operates locally on Mac, Windows, or Linux through familiar chat apps.

Functional Capabilities

• It has persistent memory capabilities allowing it to remember user interactions across sessions. Users can also create new skills if needed through Claw Hub which supports numerous integrations.

Introduction to Hermes Agent

Development Insights

• Developed by N Research as part of an AI lab initiative rather than an individual effort. It boasts significant community engagement with thousands of stars on GitHub indicating rapid growth.

Unique Features

• Unlike other agents that only store information passively, Hermes creates new skills based on experiences automatically improving its functionality over time.

Differences Between Agents

Data Management

• While Openclaw prioritizes local data storage ensuring privacy on user hardware , Hermes is designed primarily for server use enabling cloud-based operations which can be more flexible but may require technical knowledge .

Use Cases Comparison

• Users leverage both tools differently: while Openclaw focuses on simpler task automation such as managing calendars , Hermes handles complex workloads involving multiple sub-agents running concurrently .

Final Recommendations

Choosing Your Tool

• Opt for Openclaw if you prefer quick setup , local operation , polished interface along with strong community support . Conversely , select Hermes if you seek deeper functionalities requiring server setups alongside ongoing improvements .

Introduction to Hermes AI

Overview of Hermes Capabilities

• Hermes provides recommendations based on search volume, making it easy to set up and use.

• It can browse the web, navigate different pages, and control local terminals, enhancing its functionality.

• The AI drafts content for platforms like Reddit and Twitter, saving time by generating posts directly.

User Experience with Hermes

• Users find Hermes' conversational style human-like and engaging, improving interaction quality.

• Feedback mechanisms allow users to refine outputs; improvements are made quickly based on user input.

Image Generation Features

Thumbnail Creation Process

• Initial attempts at thumbnail creation may yield incorrect dimensions or styles.

• Providing feedback helps improve generated images significantly over time.

• Continuous learning allows Hermes to generate accurate thumbnails on the first attempt after initial adjustments.

Automation and Integration

Skill Boss Plugin Functionality

• Connecting to Skill Boss enables video creation, web research access, email sending, and presentation generation.

Automation Layers

• Automations run hourly to identify trending topics and create relevant content without manual approval needed.

• Competitor monitoring features help track social media performance against rivals.

Cost Management Strategies

API Usage Insights

• Costs depend on the API used; initial setups may incur higher expenses due to extensive automation configurations.

Cost-Saving Recommendations

• Using multiple APIs strategically can minimize costs while maintaining functionality across tasks.

Comparison with OpenClaw

Key Differences Highlighted

• Unlike OpenClaw, Hermes is self-improving and less prone to bugs during operation.

User Preferences

• Users prefer Hermes for its ease of use compared to OpenClaw's complex setup requirements.

Community Support & Development

Community Engagement Levels

• OpenClaw has a larger community presence but lacks the reliability that some users seek in their tools.

Future Developments

• News Research backs Hermes with significant investment in development for ongoing improvements.

Integration with Paperclip

Setting Up Paperclip with Hermes

• Paperclip serves as a mission control dashboard for managing multiple AI agents within an organization structure.

Benefits of Using Paperclip

• Teams of AI agents can be configured for various roles (e.g., CEO or CMO), automating business processes effectively.

Skill Migration Options

Migrating from OpenClaw

• Users can easily migrate skills from OpenClaw during setup through an automatic detection process.

Hermes Agent vs. OpenClaw: A Comprehensive Comparison

Introduction to Hermes and OpenClaw

• The discussion begins with a comparison between Hermes and OpenClaw, where the speaker expresses strong support for Hermes as a superior option.

• Audience engagement is encouraged, inviting comments on personal preferences regarding the two platforms.

Migration Considerations

• Users can migrate to Hermes after installation without needing to redo the entire setup; they can utilize the HermesClaw migrate command in the terminal.

• The migration process includes importing various settings like memory skills and allow lists, making it user-friendly.

Community and Training Resources

• The speaker highlights an active community of 2,700 members within the AI Profitable Boardroom, offering support and resources for users.

• Daily accountability groups are available for members to stay updated on best practices related to Hermes.

Features of Hermes

• Detailed training courses are provided for both OpenClaw and Hermes, including a roadmap specifically designed for using Hermes effectively.

• Discussion about how agents like Manis compare with OpenClaw and Hermes emphasizes control over data retention when subscriptions end.

Performance Insights

• The speaker notes that while OpenClaw was initially easier to use, its complexity has increased over time, leading to frustration among users.

• There’s recognition of Peter Steinberger's efforts but also acknowledgment that added functionalities have complicated usability.

Client Acquisition Strategies

• Mention of additional resources such as agency courses aimed at helping users acquire more clients through effective strategies.

Local Networking Opportunities

• Emphasis on connecting with local members globally through the platform enhances networking opportunities within major cities.

Testing Performance: Head-to-head Comparison

Introduction of Hermes Agent

• Introduction of a new AI agent called Hermes Agent which claims capabilities beyond those offered by OpenClaw.

Self-improvement Mechanism

• Explanation of how Hermes learns from past tasks by recording mistakes or successes, improving its performance over time.

Popularity Metrics

• Current trends show that Hermes is gaining traction rapidly in personal agent rankings alongside OpenClaw.

Skills Integration

• Users can enhance their experience with additional skills via a free extension called Awesome Hermes Agent.

Technical Setup & User Experience

Installation Process

• Initial setup requires technical knowledge but promises better long-term performance due to self-learning capabilities.

Performance Testing

• Side-by-side testing reveals differences in speed and efficiency between both agents during task execution.

Messaging Platforms Compatibility

• Various messaging platforms supported by Hermes include Telegram, Discord, Slack, WhatsApp Signal, and email—highlighting versatility compared to OpenClaw.

Final Thoughts on Choosing Between Agents

Community Support vs. Self-improvement Features

• While OpenClaw boasts a larger community support base due to familiarity among users, Hermès offers unique self-learning features that may appeal more to tech-savvy individuals seeking continuous improvement.

Conclusion on Usage Preferences

• Ultimately no definitive winner exists; choice depends on user needs—whether prioritizing community support or advanced learning capabilities.

Introduction to Hermes Agent

Overview of Hermes Agent

• Hermes is a free and open-source AI agent under the MIT license, designed to learn and improve over time.

• Unlike traditional agents that merely store information, Hermes acts like a brain, learning from interactions and saving solutions as reusable skills.

Key Features

• It features a self-improving memory loop that curates its own memory and creates skills automatically based on user experience.

• Supports multiple platforms for operation including local setups, Docker, SSH, Daytona, Singularity, and Modal with 40 built-in tools for various tasks.

Comparison with OpenClaw

Memory Management

• OpenClaw stores memory in local markdown files while Hermes utilizes a self-improving learning loop for better context understanding.

• The self-improving loop allows Hermes to build a model of the user over time by searching past conversations.

Ecosystem and Security

• OpenClaw has a larger ecosystem with more community skills available; however, it has faced security issues compared to Hermes which includes sandboxing features for enhanced security.

Development Background

Team Composition

• OpenClaw was developed by one individual whereas Hermes was created by New Research involving numerous researchers contributing to its development.

Unique Capabilities

• OpenClaw's unique feature is its heartbeat system that performs tasks autonomously every 30 minutes. In contrast, Hermes excels in generating research-grade training data.

Choosing Between Agents

Recommendations Based on User Needs

• Choose OpenClaw if you prefer extensive community support, numerous messaging platforms (50), pre-built skills, or want an agent that operates proactively.

• Opt for Hermes if you desire an agent that learns over time, prioritizes security backed by research labs or if you're an AI developer looking for advanced capabilities.

Community Engagement and Resources

AI Profit Boarding Community

• The speaker encourages joining the AI profit boarding community for resources such as weekly updates condensing extensive research into manageable insights.

Training Opportunities

• Offers courses ranging from beginner to expert levels in AI automation along with playbooks tailored for business applications across various platforms.

Building with Hermes Agent

Getting Started

• Users can access Hermes via GitHub; it's straightforward to set up compared to other agents like OpenClaw which may be less reliable.

Use Cases

• Suggested use cases include automating daily tasks such as social media content creation or web research. Users are encouraged to personalize their experience through interaction with the agent.

Enhancing Memory Integration

Utilizing Obsidian

• Integrating Obsidian allows users to enhance memory management within Hermes by linking personal notes directly into the agent’s framework.

Automation Tools

OMI can record activities throughout the day and sync memories into Obsidian seamlessly enhancing context awareness within the agent's operations.

Advanced Setup Options

• Users can create teams of agents using Paperclip or Multica setups allowing collaborative task management among multiple agents working together efficiently.

How to Use Hermes Dashboard and Automate Tasks

Overview of Hermes

• Hermes is currently in version 0.9, with expectations for significant improvements upon the release of version 1.0.

• The platform is already powerful and user-friendly, indicating that its capabilities will expand further.

Key Features of Hermes Dashboard

• The dashboard allows users to manage skills and schedule tasks effectively.

• Scheduled tasks can run autonomously, enabling daily automations like content posting or team messaging without manual intervention.

• Skills are saved automations that can be invoked as needed, such as using SEO skills for content creation.

Setting Up with OAMA

• Users can simplify setup by utilizing OAMA for local and cloud model installations through terminal commands.

• OAMA enables one-click installation of Hermes, allowing easy access to free models and cloud options.

Alternatives: Max Hermes

• Max Hermes offers a non-technical setup option but may have some bugs compared to local installations; it still supports scheduled tasks and tool usage.

Recap on Automation Capabilities

• To automate effectively with Hermes, users should identify their specific use cases based on personal needs or examples provided during the session.

Exploring New Updates in Hermes Workspace

Introduction to Hermes Workspace v2

• The new update introduces a more interactive way to communicate with AI agents via chat, memory management, and skill orchestration.

Enhanced User Experience

• Users can now engage directly with AI agents in a more visually appealing interface compared to previous versions that relied heavily on terminal commands.

Setup Options for Users

• Users have the choice between running the workspace locally or through Docker for better organization and performance.

Features of the New Mission Control

Comprehensive Management Tools

• The workspace provides tools for chatting with AI agents, managing memory, accessing over 2,000 skills, file management, and terminal access all from one screen.

Cross-device Compatibility

• It functions as a progressive web app compatible across devices (iPhone, Android, Mac/PC), ensuring seamless user experience regardless of platform.

Task Management within Hermes Workspace

Organizing Tasks Efficiently

• A Kanban board feature allows users to assign tasks easily among AI agents while tracking progress through various stages (to-do, in-progress).

Profiles Feature

• Multiple profiles enable different AI agent configurations within the same setup; each profile maintains unique sessions and skills tailored to specific needs.

Comparison Between Versions

Differences Between v0.9 Dashboard and Workspace v2

• While both provide mission control features, Workspace v2 offers enhanced customization options not available in version 0.9's dashboard layout.

This structured approach ensures clarity while providing detailed insights into how users can leverage the capabilities of the Hermes platform effectively.

Setting Up Hermes with Olama

Initial Setup and Testing

• Users can run Hermes with a cloud model via Olama, allowing for free testing until usage limits are reached.

• The existing setup remains intact when integrating new APIs, ensuring all previous configurations work seamlessly.

• Testing the integration in Telegram confirms that Hermes operates correctly within the messaging platform.

Performance Insights

• The performance of Hermes is notably smoother compared to OpenClaw, enhancing user experience significantly.

• Users can easily switch between models using simple commands, maintaining flexibility in their AI interactions.

Exploring Local Models

Model Options and Recommendations

• Gemma 4 is highlighted as a local model option; however, it may not perform optimally on all systems.

• Users are advised against using Gemma 4 due to slow response times observed during testing on high-performance hardware.

Alternative Model Choices

• Miniax M2.7 Cloud is suggested as a faster alternative for users seeking better performance without local limitations.

Advantages of Using Olama

Benefits Over Other Platforms

• Olama provides an easier setup process compared to OpenClaw, especially for non-technical users.

• It allows access to various models while simplifying the onboarding experience for new users.

Key Features of Hermes

• Hermes serves as an AI agent capable of automating tasks across multiple platforms like Telegram and terminal interfaces.

Community Engagement and Resources

Joining the AI Profit Boardroom

• The speaker invites viewers to join the AI Profit Boardroom community for additional training and support related to AI tools like Hermes and OpenClaw.

Training Offerings

• Members gain access to extensive training resources including courses specifically focused on OpenClaw and Hermes functionalities.

Understanding Hermes' Capabilities

Overview of Features

• Hermes is an open-source AI agent designed for continuous learning across sessions, unlike many traditional agents that reset after each use.

Key Functionalities

• Centralized logging helps track activities effectively through dedicated log files.

• Live model switching allows seamless transitions between different models during conversations without restarting sessions.

Running OpenClaw Without Costs

Cost-Free Operation Methods

• Method one involves using Olama with local or cloud models to eliminate API costs entirely.

• Method two introduces Atomic Chat app as a user-friendly interface for setting up OpenClaw without technical knowledge.

Free API Access

• Method three utilizes free APIs from Open Router which provide access to numerous model providers at no cost.

Enhancing User Interaction with PAB's Avatar Skill

Innovative Communication Features

• The PAB's avatar skill enables face-to-face interaction with your AI agent, transforming text-based responses into engaging visual communication experiences.

Practical Applications

• This feature opens new avenues for content creators by providing more dynamic engagement methods beyond traditional text interfaces.

OpenClaw: Automating Your Business with AI

Introduction to OpenClaw and Automation

• OpenClaw is a tool designed for automating various business tasks, including content creation and client work. The AI Profit Boardroom offers resources like workflows and templates to help users integrate OpenClaw into their operations.

Connecting OpenClaw to Applications

• OpenClaw utilizes the Model Context Protocol (MCP), allowing AI agents to connect with over 8,000 applications via Zapier MCP, enhancing functionality beyond mere thinking to actual task execution.

• Users can set up connections by obtaining a token from mcp.zapia.com and integrating it into OpenClaw. This setup enables automated actions such as pulling emails or sending messages without manual intervention.

Real-world Application of Automation

• An example of automation includes an agent that monitors new member signups in a community, automatically drafting personalized welcome messages through Gmail, showcasing the potential for significant time savings.

• Users can create multi-agent workflows where different agents handle specific tasks—researching, creating content, editing quality, and distributing it—resulting in a fully automated content pipeline.

Clawhub Marketplace and Skills Integration

• The Clawhub marketplace allows users to install pre-built skills for various tasks like SEO research or email writing with one click, reducing the need for custom development.

• Skills from Clawhub can be connected to automate processes such as summarizing weekly news updates for community members.

Tips for Effective Use of OpenClaw

• Match your model with appropriate hardware for optimal performance; larger models on inadequate machines may slow down operations.

• Start simple by connecting one agent to one app before expanding your automation efforts. Utilize existing skills from Clawhub instead of building everything from scratch.

AI Avatars: New Developments in Real-time Interaction

Introduction of PA Skills Update

• A recent update allows users to have real-time conversations with AI avatars using voice and facial recognition technology through the PA Skills framework.

Setting Up PA Skills

• To implement this feature, users must obtain an API key from PA developers and configure their environment variables accordingly.

Features of Real-time Avatar Interaction

• Users can join meetings using generated or custom avatars that are context-aware and capable of generating notes post-meeting.

Hermes Mission Control: Revolutionizing AI Agent Management

Overview of Hermes Mission Control

• Hermes Mission Control transforms how users manage AI agents by providing a visual operating system interface rather than relying solely on command-line interactions.

Key Features of Hermes Mission Control

• The new dashboard includes real-time log streaming, file exploration capabilities similar to VS Code, and instant control over agent profiles—all accessible via a web browser.

Benefits Over Traditional Command-Line Interfaces

• This update enhances usability by allowing immediate visibility into agent activities while simplifying debugging processes compared to previous command-line methods.

Fast Mode Update: Enhancing Speed in AI Agents

Introduction of Fast Mode

• The latest update introduces "fast mode," which prioritizes processing requests within Hermes' system leading to significantly reduced latency during task execution.

Impact on User Experience

• With fast mode activated, agents respond instantly rather than experiencing delays between commands. This improvement fosters greater trust in the system's capabilities among users.

Additional Features

• Hermes now supports mobile access through Termix enabling full functionality on Android devices while integrating messaging services like iMessage and WhatsApp for seamless communication with agents.

Introduction to Hermes AI Agent

Overview of Hermes

• Hermes is described as an operating system for AI agents, emphasizing its ability to respond and execute tasks efficiently.

• The AI Profit Boardroom offers strategies for automating workflows using tools like Hermes, showcasing real implementations and results from users scaling their businesses with AI.

Key Features of Hermes

• Users can customize the AI's memory and prioritization settings, allowing tailored workflows and automation.

• A significant security upgrade has been implemented, enhancing protection for serious applications.

Performance Enhancements

Comparison with Other Tools

• Community feedback suggests that GPT 5.4 performs better within Hermes compared to other agents due to its unique architecture designed for efficient request routing.

• Developers can utilize Hermes for various tasks such as autodebugging and code reviews, while creators can automate content pipelines effectively.

Unique Selling Proposition

• Unlike competitors like Claude Code or AutoGBT, Hermes combines speed, autonomy, and multi-platform control in one package.

Future of AI Agents

Vision for Integration

• The future points towards real-time AI agents replacing multiple apps by integrating functionalities across platforms seamlessly.

• Speed is highlighted as a critical factor; faster tools encourage more frequent use and reliance on them.

Open Source Benefits

• Being open source allows community-driven improvements without being dependent on a single company's roadmap.

Real-world Applications

Daily Workflow Automation

• Users can expect their agent to manage emails, calendar briefs, and project flags before they even start their day.

Continuous Improvement

• The importance of mastering tools like Hermes is emphasized through the availability of comprehensive resources in the AI Profit Boardroom.

Latest Updates: Version 9.0 Z

New Features Introduced

• Version 9.0 Z introduces mobile support across 16 platforms including popular messaging apps like iMessage and WeChat.

User Experience Improvements

• A local web dashboard simplifies user interaction with the platform by eliminating the need for command-line usage.

Fast Mode & Background Monitoring

Enhanced Performance Features

• Fast mode prioritizes requests leading to significantly reduced wait times for responses from models like GPT and Claude.

Real-time Monitoring Capabilities

• Background process monitoring allows users to track logs and errors automatically without manual oversight.

Customization & Security Upgrades

Control Over Memory & Skills

• Users can create custom skills that are remembered by the agent indefinitely, streamlining repetitive tasks.

Security Enhancements

• Major security upgrades ensure that Hermes meets enterprise-level standards necessary for handling sensitive tasks reliably.

Conclusion: Shift Towards an Operating System Model

Transitioning Role of AI Agents

• The evolution from simple tools to comprehensive operating systems signifies a major shift in how we interact with technology daily.

Future Implications

• As these advancements continue, users are encouraged to engage with communities focused on practical applications of these technologies.

Introduction to Hermes Agent Updates

Background Process Auto Notifications

• The new feature eliminates polling, allowing tasks to notify agents when they are complete, enhancing efficiency.

• This enables true parallel workflows, allowing agents to execute multiple tasks simultaneously without waiting.

Free Shiaomi Mimo V2 Pro Integration

• A lightweight model for simple tasks is now integrated into Hermes, facilitating multimodal workflows.

• Users can utilize cheaper models for less complex tasks while reserving powerful models for more demanding jobs.

Live Model Switching

• Agents can switch models mid-task using the slashmodel command without interrupting the workflow.

• This feature supports various platforms like CLI, Telegram, Discord, and Slack with automatic fallback options.

Enhancements in AI Reliability

Fixes for Common AI Failures

• Hermes addresses five major failure modes in AI tool usage that lead to unreliability and loss of trust.

• Automated benchmarking and behavior patching ensure consistent performance improvements over time.

Google Gemini Integration

• Native support for Google AI Studio allows real-time context detection and optimal model selection based on task requirements.

Workflow Improvements

Smart Inactivity-Based Timeouts

• Only idle agents are stopped after a set time; active jobs continue running, improving long-running task management.

UX Upgrades with Approval Buttons

• Simplified approval processes in Slack and Telegram enhance user experience by reducing typing efforts.

Security Features

MCPO Orth Plus Malware Scanning

• Enhanced security measures ensure plugin safety through vulnerability scanning before execution.

Centralized Logging and Config Validation

• New logging features help identify issues before they occur by validating configurations prior to agent startup.

Plugin System Expansion

Developer-Friendly Features

• Plugins can now add new commands and integrate seamlessly into the lifecycle of Hermes operations.

Platform Expansion

• Improved support across messaging platforms enhances integration capabilities without friction.

Production Readiness

Security Hardening Measures

• Key vulnerabilities have been addressed to ensure enterprise-grade safety when deploying agents in real environments.

Summary of Major Updates

Overview of Hermes 0.8 Features

• Background notifications enable asynchronous intelligence.

• Model switching facilitates adaptive decision-making during workflows.

• Tool usage fixes enhance reliability at scale.

• The plugin system transforms Hermes into a platform rather than just a product.

Introduction of Manim Skill

New Capabilities with Manim

• The latest update introduces the ability to generate high-quality animations from simple prompts using Manim technology.

Benefits for Content Creators

• This significantly reduces production time for explainer videos that previously required extensive manual effort.

Automation Pipeline Creation

• Users can automate entire content creation pipelines from topic research to final video output seamlessly through Hermes.

Educational Impact

• The ability to create visually engaging educational content lowers barriers for creators aiming to produce high-quality materials quickly.

Future Potential

• As this technology evolves, it will likely become faster and more customizable, providing significant advantages for early adopters among creators.

Conclusion on Utility of Manim Skill

Practical Applications

• The Manim skill offers genuine utility by enabling users to produce educational content efficiently while maintaining quality standards.

Setting Up Hermes Memory System

Overview of Hermes Memory Setup

• The command for setting up the Hermes memory system is straightforward; you select your memory provider, and it begins to learn from every interaction.

• Users can test its memory by instructing it to remember specific tasks or projects, such as building YouTube automation systems, and later querying what it knows about them.

Evolution of AI Agents

• AI agents are transitioning from mere tools to infrastructure that learns over time, enhancing user experience with each session.

• Hermes V.7.0 exemplifies this shift with features like integrated memory, automatic credential handling, and real-time streaming capabilities.

Engaging with AI Tools

Joining Communities for Deeper Learning

• Users are encouraged to download Hermes and engage in communities like the AI Profit Boardroom for practical applications of AI tools in business automation.

• The AI Success Lab offers a free community with access to numerous use cases and SOPs related to AI implementations.

New Skills Added to Hermes Agent

Introduction of Manim Skill

• The new skill allows Hermes agent to create fully animated explainer videos from a single text prompt using the Manim animation engine.

• Users can generate complex visual content quickly without needing traditional animation skills or software.

Practical Applications

• This feature is useful for creating concept explainers, algorithm walkthroughs, data visualizations, and more without hiring external animators.

Creating Animated Videos with Hermes

Video Creation Process

• The process involves typing a prompt into Hermes which plans the video content, writes Python code for rendering scenes, and assembles everything automatically.

• Users can customize aspects like branding colors while generating high-quality animated videos efficiently.

Integrating Knowledge Management Tools

Combining LLM Wiki with Hermes Agent

• A new integration between Hermes agent and Andre Carpathy's LLM wiki enhances knowledge management by allowing persistent accumulation of information across sessions.

Benefits of Persistent Knowledge Base

• Unlike traditional methods where each query starts anew, this setup enables continuous learning by maintaining an updated wiki that integrates new sources seamlessly.

How LLM Wiki Operates

Structure of the Knowledge Base

• The system consists of raw sources (immutable documents), an AI-generated wiki (dynamic summaries), and a schema that guides how information is organized.

Core Operations Explained

• Ingest: Adding new sources updates multiple pages within the wiki simultaneously.

• Query: Asking questions retrieves synthesized answers based on existing knowledge.

• Lint: Health checks ensure accuracy by identifying contradictions or outdated information within the wiki.

Practical Tips for Using LLM Wiki

Getting Started with Installation

• Install Hermès agent easily on various operating systems using simple commands; run updates regularly to maintain functionality.

• Utilize Obsidian as a viewer for better navigation through interconnected pages created by the agent.

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AI Tools and Implementation Insights

Overview of AI Profit Boardroom

• The project is actively maintained with over 800 commits on GitHub, indicating a robust development process.

• AI Profit Boardroom has over 2,000 members sharing real experiences about effective AI tool usage, providing practical guidance on what works and what doesn't.

• Members can access Standard Operating Procedures (SOPs) and over 100 AI use cases by joining the AI success labs.

Introduction to Hermes Agent

• The video discusses how to enhance the Hermes agent significantly in one click, addressing common frustrations with traditional AI agents that forget context daily.

• Hermes Agent is an open-source autonomous AI developed by Noose Research, designed to remember user preferences and improve its capabilities through experience.

Key Features of Hermes Agent

• Installation requires only git; it supports Linux, Mac OS, and WSL 2 on Windows. Python 3.11 and Node.js are included in the installation process.

• Users should not treat Hermes like a regular chatbot initially; it builds memory files during early sessions to understand user context better.

• By day three or four of use, Hermes can recall projects and preferences without needing repeated explanations from users.

Community Skills and Upgrades

• Skills are essential for enhancing Hermes's functionality; each skill is structured as a markdown document detailing task handling procedures.

• Community skills can be installed from repositories like Awesome Hermes Agent to quickly upgrade capabilities without slowing down performance.

Advanced Capabilities of Hermes Agent

• Unlike other agents, Hermes runs on various platforms including VPS or serverless infrastructure while allowing communication via multiple messaging apps.

• It supports parallel task execution through sub-agents for complex workflows such as deep research across multiple sources.

Hermes vs. OpenClaw: Which Should You Choose?

Comparison of OpenClaw and Hermes Agent

• Both OpenClaw and Hermes are free open-source tools but differ significantly in their architecture; OpenClaw focuses on local data storage while Hermes operates more flexibly in cloud environments.

• OpenClaw was created by Peter Steinberger as a personal project with persistent memory features that allow it to learn new skills based on user interactions.

Unique Selling Points of Each Tool

• A key differentiator for Hermes is its built-in learning loop that allows it to create new skills automatically after completing tasks, improving efficiency over time.

• Users can run both tools simultaneously since they share a skill ecosystem; migration tools facilitate easy transitions between them.

Recommendations Based on User Needs

• Choose OpenClaw for quick setup and ease of use if you prefer local operation. It's ideal for non-tech-savvy users looking for immediate functionality.

• Opt for Hermes if you're interested in deeper functionalities that evolve over time or if you're comfortable managing server setups.

Final Thoughts

Conclusion

• For those serious about implementing AI effectively at work, joining communities like the AI Profit Boardroom provides valuable insights into which tools are genuinely beneficial.