{"slug": "hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory", "title": "🧠 Hermes Agent Assistant — A Modular AI Agent System with Planner, Executor & Memory", "summary": "The Hermes Agent Assistant is a modular AI agent system that breaks down user tasks into structured steps using a dedicated planner, executes them sequentially via an executor, utilizes targeted tools, and stores interaction context in a persistent memory system. Unlike simple single-prompt LLM wrappers, it features four autonomous components—Planner, Executor, Tools Layer, and Memory System—that mirror production-grade agent architectures. The system processes tasks through a pipeline that transforms abstract goals into structured, sequential steps, executes them, and writes results to persistent storage.", "body_md": "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.\nThe 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.\nMost 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:\nHermes Agent is my architecture simulation built to solve this problem in a highly accessible, lightweight, and scalable format.\nThe codebase is split cleanly into four autonomous components that mirror real-world AI agent meshes:\nUser Request (e.g., /run?task=...)\n│\n▼\n┌───────────────────────────┐\n│ PLANNER │ ➔ Slices abstract goals into\n└─────────────┬─────────────┘ structured, sequential steps.\n│\n▼\n┌───────────────────────────┐\n│ EXECUTOR │ ➔ Orchestrates task completion\n└─────────────┬─────────────┘ by processing each step.\n│\n▼\n┌───────────────────────────┐\n│ TOOLS LAYER │ ➔ Provides functional utilities\n└─────────────┬─────────────┘ (simulated web search, logic, maths).\n│\n▼\n┌───────────────────────────┐\n│ MEMORY SYSTEM │ ➔ Persists execution logs statefully\n└───────────────────────────┘ into local JSON storage.\nsrv-d88revegvqtc73bdj380\n(Render Infrastructure Node)Unlike traditional, rigid APIs or simple conversational chatbots, Hermes Agent:\nPOST /run?task=search AI agents HTTP/1.1\nHost: hermes-agent-tanush.onrender.com\n{\n\"task\": \"search AI agents\",\n\"plan\": [\n\"analyze request parameters\",\n\"query tool registry for search utilities\",\n\"summarize agent data structural output\"\n],\n\"result\": \"final structured output successfully generated and written to persistent storage.\"\n}\nPlanner\n, Executor\n, and Critic\nagents working collaboratively with separate system prompts.", "url": "https://wpnews.pro/news/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory", "canonical_source": "https://dev.to/tanush_326k/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory-a49", "published_at": "2026-05-23 14:43:32+00:00", "updated_at": "2026-05-23 15:02:42.965273+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "open-source", "developer-tools"], "entities": ["Hermes Agent Assistant", "Hermes Agent"], "alternates": {"html": "https://wpnews.pro/news/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory", "markdown": "https://wpnews.pro/news/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory.md", "text": "https://wpnews.pro/news/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory.txt", "jsonld": "https://wpnews.pro/news/hermes-agent-assistant-a-modular-ai-agent-system-with-planner-executor-memory.jsonld"}}