# 🧠 Hermes Agent Assistant — A Modular AI Agent System with Planner, Executor & Memory

> Source: <https://dev.to/tanush_326k/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory-a49>
> Published: 2026-05-23 14:43:32+00:00

I built Hermes Agent Assistant, a lightweight agentic AI system designed to demonstrate how modern AI agents can be structured using a modular architecture instead of a simple, single-prompt response model.
The system takes an abstract user task, breaks it down into structured steps using a dedicated planner, executes those steps sequentially via an execution engine, utilizes targeted tools, and stores the interaction context in a persistent memory system.
Most AI applications today are simple wrappers around LLMs that rely on a single input-output loop. I wanted to understand and demonstrate how production-grade, autonomous agent systems operate internally. Specifically, I wanted to explore how:
Hermes Agent is my architecture simulation built to solve this problem in a highly accessible, lightweight, and scalable format.
The codebase is split cleanly into four autonomous components that mirror real-world AI agent meshes:
User Request (e.g., /run?task=...)
│
▼
┌───────────────────────────┐
│ PLANNER │ ➔ Slices abstract goals into
└─────────────┬─────────────┘ structured, sequential steps.
│
▼
┌───────────────────────────┐
│ EXECUTOR │ ➔ Orchestrates task completion
└─────────────┬─────────────┘ by processing each step.
│
▼
┌───────────────────────────┐
│ TOOLS LAYER │ ➔ Provides functional utilities
└─────────────┬─────────────┘ (simulated web search, logic, maths).
│
▼
┌───────────────────────────┐
│ MEMORY SYSTEM │ ➔ Persists execution logs statefully
└───────────────────────────┘ into local JSON storage.
srv-d88revegvqtc73bdj380
(Render Infrastructure Node)Unlike traditional, rigid APIs or simple conversational chatbots, Hermes Agent:
POST /run?task=search AI agents HTTP/1.1
Host: hermes-agent-tanush.onrender.com
{
"task": "search AI agents",
"plan": [
"analyze request parameters",
"query tool registry for search utilities",
"summarize agent data structural output"
],
"result": "final structured output successfully generated and written to persistent storage."
}
Planner
, Executor
, and Critic
agents working collaboratively with separate system prompts.