@LiorOnAI
Most AI agents are amnesiacs. They solve a problem brilliantly, then forget everything the moment you close the terminal. Hermes flips this: it's an agent that writes down what it learns and gets better the longer you use it. It runs on a dedicated machine, remembers what it learns across sessions, and writes reusable skills when it solves hard problems. Most AI tools are stateless: they forget everything the moment you close the tab. This one accumulates knowledge like a human teammate. When Hermes solves a complex task, it documents the approach as a searchable skill that it can load automatically next time. Think of it as procedural memory: the agent doesn't just remember facts, it remembers how to do things. Because the agent lives on your server rather than running in a sandboxed cloud environment, it can: 1. Schedule tasks that run unattended (daily reports, nightly backups) 2. Maintain persistent state across messaging platforms 3. Spawn isolated subagents for parallel work 4. Access your actual filesystem and terminal with full context 5. Build up knowledge about your specific setup This unlocks use cases that browser-based assistants can't touch. An agent that knows your codebase, remembers how you like things formatted, and can kick off multi-hour workflows while you sleep. If this pattern catches on, the AI assistant market splits into two categories: disposable chatbots that reset every session, and persistent agents that compound value over time.