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Showing posts with the label Agentic Achitecture

How to Install Hermes Agent on Home Assistant OS

OpenClaw Series · Part 6a Install Guide How to Install Hermes Agent on Home Assistant OS A complete setup guide for running Hermes Agent as a Home Assistant add-on on a Raspberry Pi 5 — Telegram alerts, no-LLM scheduled jobs, SOUL.md identity, and zero ongoing infrastructure cost. 🥧 Raspberry Pi 5  recommended 🏠 HAOS  2024.x or later ⏱ ~30 min  setup time 💸 Free to install  LLM API key needed Overview What is Hermes Agent ? Hermes Agent is an open-source AI agent framework by NousResearch. It runs as a persistent, always-on agent that you reach through Telegram (or Discord, Slack, WhatsApp), and executes tasks by running scripts on the host system. Unlike chatbot interfaces, Hermes is designed for continuous operation — it stays running, remembers context across conversations via SQLite, and responds to c...

From OpenClaw to Hermes The Migration That Changed Everything

OpenClaw Series · Part 6 From OpenClaw to Hermes The Migration That Changed Everything Five parts in, the agent worked. Then the framework moved on — and so did we. Here's why we migrated, what broke, what we kept, and what Hermes does differently. 🥧 Raspberry Pi 5  · HAOS ⚡ Hermes Agent  · NousResearch 🧠 DeepSeek Flash  · Official API 📡 Telegram  · Interface 📌 New to Hermes? Start with the install guide first This article covers the migration from OpenClaw to Hermes. If you haven't installed Hermes Agent on Home Assistant OS yet, begin with Part 6a — How to Install Hermes Agent on HAOS (Raspberry Pi 5) — then come back here for the migration walkthrough. The Starting Point OpenClaw Worked. Until It Didn't. Parts 1 through 5 of this series document...

From Basic PyTorch to Modern AI Systems: Understanding the Bridge

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Feature · 12 min read From Basic PyTorch to Modern AI Systems: Understanding the Bridge The same foundational principles powering your first neural network also power GPT-4, autonomous robots, and multi-agent systems. Here's how the dots connect. ✦ Architecture ✦ Deep Learning ✦ Systems Thinking From basic PyTorch neural networks to modern AI systems Key Takeaways Modern AI — LLMs, agents, GNNs — is built on the same gradient descent and backpropagation you learned first. The leap isn't a new paradigm; it's scale, structure, memory, and interaction layered on top of the same core. Embeddings, attention, and message passing are the three structural inventions that bridge the gap. The future of AI engineering is about system orchestration, not just model training. Your Learning Path Through This Article ...