Hermes Cookbook: A Field Guide to Hermes Agent
ai agents hermes openclaw tools
Hermes Agent is an open-source AI agent by Nous Research. 51K GitHub stars. Built-in memory, autonomous skill creation, and native support for Telegram, Discord, Slack, WhatsApp, and Signal.
It also ships with a migration tool for OpenClaw users — which matters a lot right now, given Anthropic’s April 4 billing change that cut OpenClaw off from Claude subscription limits.
I’ve been running openclaw-cookbook — a daily-scanned field guide for OpenClaw. Hermes is growing fast enough to deserve the same treatment.
So I started hermes-cookbook.
What it covers
Same structure as openclaw-cookbook:
- Getting started and migration from OpenClaw
- Skills — how Hermes creates them autonomously, how to write them deliberately
- Patterns — memory architecture, parallel subagents, token bloat management
- Real-world use cases from r/hermesagent
- Honest comparisons with OpenClaw and Claude Code
- Cost — free model options (MiniMax M2.7, Xiaomi MiMo V2 Pro)
- Daily signal scans from X and Reddit
Why now
Three things happened in the first two weeks of April:
- Hermes v0.7.0 made memory a first-class feature — not a plugin
- Anthropic’s billing change pushed OpenClaw users to look for alternatives
- The Chinese community (led by @dotey’s 311K-view post) adopted Hermes early
The community is moving fast. A cookbook captures what actually works before it gets buried.
Sources
Daily scans use agent-reach — specifically twitter-cli for X and rdt-cli for Reddit. No login required for read-only use.