Hermes Agent
Role in the corpus
The captured analysis presents Hermes Agent as a layered-memory system rather than a single persistent prompt: a compact startup snapshot, searchable session history, reusable skills, and optional deeper user modeling. It emphasizes preserving a small stable prompt prefix for caching while retrieving large or historical context through tools. The source is a code-and-documentation-based analysis that explicitly may age as upstream implementation changes. [src]
Patterns surfaced in the corpus
- Separate stable instructions from retrievable episodic context. [src]
- Store procedures as skills rather than repeatedly injecting long prose. [src]
- Treat context compression as a lifecycle transition that requires reconstructing the working prompt deliberately. [src]