AI Agents
Hermes Agent /learn compiles experience into verifiable skills
Hermes Agent /learn is important because it shifts long-term agent improvement from chat history to verifiable reusable skills. Most assistants can answer, but they do not accumulate operational knowledge well. A long context window is still temporary; a transcript is not the same as an executable procedure.
From documents to skills
A normal knowledge-base workflow indexes source material and retrieves it during a question. That is useful for Q&A, but operations need more: prerequisites, commands, sequencing, validation, failure modes, and boundaries. /learn attempts to distill directories of code, docs, manuals, PDFs, and configs into task-oriented skills.
Verification is the key difference
A skill that is only summarized is fragile. A useful skill must be tested, corrected, and crystallized. That live-test step is what turns a nice Markdown note into a reusable operational asset.
The practical boundary is also important: durable preferences and environment facts belong in memory; repeatable workflows belong in skills. /learn is valuable when it compiles experience into procedures that can be loaded only when relevant.