Hermes Agents excel at reliable, structured tool use and multi‑step planning by combining a model tuned for function calling with a runtime that manages state, tool execution, and skill creation; this enables repeatable, auditable workflows for real‑world automation.

Executive summary and guide

Key considerations: choose a model tuned for function‑calling reliability; design idempotent tools with clear schemas; implement a robust agent loop that validates tool outputs and persists state. Decision points: model selection (Hermes‑tuned vs general LLM), tool isolation (containers vs direct exec), and memory strategy (short‑term context compression vs long‑term skill storage).

Core capability: tool use + multi‑step planning Hermes separates planning (LLM decides steps) from execution (runtime runs tools), letting the model request tools in a structured format while the runtime enforces safety, retries, and parallelism.…