Autonomous AI Agents with Hermes - The Complete Guide

Autonomous AI Agents with Hermes: The Complete Guide

https://WebToolTip.com

Published 7/2026
Created by Meadowwave AI
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 164 Lectures ( 5h 51m ) | Size: 1.9 GB

From your first local chat to a fine-tuned model: build AI agents by hand with Hermes and Ollama

What you'll learn
⚡ Run the open-weight Hermes model locally with Ollama and call it from Python through both the native and OpenAI-compatible endpoints
⚡ Read and write ChatML directly, and use the system prompt to steer the model's behavior and swap personas
⚡ Build a function-calling agent that parses tool calls, runs a real API, and feeds the result back to the model
⚡ Get reliable structured output with Pydantic schemas, validation, and a repair-and-retry pass
⚡ Implement the ReAct loop by hand and build a multi-tool agent that plans and completes multi-step tasks
⚡ Build a fully local RAG pipeline that answers questions from your own documents and cites its sources
⚡ Design multi-agent systems, including a writer-and-critic loop and a planner that coordinates researchers and a writer
⚡ Add guardrails that redact sensitive data, evaluate agents with an LLM-as-judge, and handle broken output safely
⚡ Fine-tune Hermes yourself with LoRA and QLoRA, train an adapter on your own machine, and run the model you trained in Ollama
⚡ Connect the self-hosted Hermes Agent to memory files, markdown skills, a cron scheduler, and Telegram

Requirements
❗ No previous experience is needed! All you need is your laptop