The Future Of AI? 🤯 Hermes Agent Intro & Benefits #ai #agenticai #hermes
Hermes is an AI agent that improves over time by learning from user workflows, unlike most static AI tools. It automatically identifies recurring patterns, creates reusable skills, and applies them to similar future tasks without explicit training.
Summary
The transcript discusses a fundamental limitation of current AI tools: they remain static from day one, offering the same capabilities regardless of usage duration. While users learn how to better utilize these tools, the AI itself does not evolve or personalize based on individual work patterns. Hermes represents a different approach to AI agent design. Rather than remaining static, Hermes improves through continuous self-learning. The system monitors user workflows to identify recurring patterns and automatically generates reusable skills from these patterns. When Hermes encounters similar tasks in the future, it recognizes them and loads the previously created skills, effectively automating previously manual processes. This self-improvement mechanism operates autonomously without requiring users to explicitly train the system or provide manual instructions. The speaker emphasizes that this learning happens automatically as a byproduct of usage, suggesting a fundamental shift in how AI agents can adapt to individual user needs over time.
Key Insights
- Most AI tools have identical capabilities on day one and day 100, meaning they do not improve through usage despite users learning how to better utilize them
- Hermes automatically watches for recurring workflows in user behavior without being explicitly programmed to do so
- Hermes generates reusable skills derived from identified recurring workflows and stores them for future use
- Hermes recognizes when similar jobs appear and automatically loads previously created skills to handle them
- The learning and improvement in Hermes occurs automatically without user intervention or explicit training commands
Topics
Transcript
[0:00] Most AI tools are as capable at day one as they are at 100. They don't necessarily learn and evolve over time. You learn it, but it doesn't learn you. Hermes is different. The more you use it, the better it gets at your specific work, your task, what you want it to do automatically, not because you trained it or told it to do that, but because it trains itself. It watches for recurring workflows, writes reusable skills from them, and then loads those skills the next time it recognizes a similar job. Now, let's set up your new agent.
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