LFM2.5-2.6B might be the best free local model you can put behind Hermes right now — because its final training stage ran through the Hermes agent harness itself. Here’s how it performed in my own testing. Short answer 2.6B parameters, 34 trillion tokens, 128k context, runs on around 8GB. Final post-training stage was agentic RL

Maple Preview is a new open-source reasoning model with ternary weights, an MIT licence and genuinely impressive speed on local hardware. Here’s what it does well, what it doesn’t, and my honest take after testing it. Short answer 20B model with roughly 1B running cost, using ternary weights — minus, zero or plus. Shrinks around

My Claude AI SEO skill takes a keyword and a transcript and returns finished articles — then publishes them, links them, and submits them for indexing the same day. Here’s exactly what it does, and the mechanisms that make it rank. Short answer My Claude AI SEO skill writes, deploys, interlinks and indexes — I

I built an email outreach engine into Hermes because we do a lot of link building at the agency and I wanted our own tool. Here’s exactly how the Hermes email skill works, the six steps behind it, and the safety rules I’d insist on before you point an agent at your inbox. Short answer

Hermes is a terminal agent, and the terminal is where most people quietly give up on it. Here’s an honest comparison of the ways to run Hermes with an interface — and which one is worth settling on. Short answer Best Hermes web UI: a mission-control dashboard with a button for every job, not a

“Best OS for Hermes Agent” has two answers — which computer to run it on, and which agent operating system to build around it. The second one is what actually decides whether Hermes becomes useful or gets abandoned in a week. Short answer Computer OS: macOS or Linux natively, Windows through WSL, a Linux VPS

If your Hermes Agent starts every session blank and gives you generic answers, the problem isn’t the model — it’s that it has no memory. Here’s the best memory setup for Hermes Agent, why it’s free, and how I get my agents to maintain it for me. Short answer Best memory for Hermes Agent: a

Here’s the full picture. The Hermes Herald release is the update where your AI agent finally holds a conversation — talking while it thinks, interruptible mid-sentence, cited when it researches, and able to speak directly to other agents. Herald is the name; connection is the theme. Here’s why this release matters and how to use

Here’s the full picture. Hermes V0.20 — the Herald release — just dropped, and it’s a big one: real-time voice conversations, cited research, agent-to-agent protocol, sandboxed artifacts and serious speed gains, shipped by 647 contributors. I updated the day it landed. Here’s the full changelog walkthrough and how to get it. Last updated: August 2026.

Here’s the full picture. An agentic operating system (AOS) is the layer that turns a pile of AI agents into one system — a dashboard where your agents, custom workflows, memory and automations all live, one click away. It’s the term you’ll hear everywhere this year, so here’s exactly what an AOS is, what’s inside