
What Hermes Thinks I Do When I'm Not Talking To It
My job title says one thing. The files I leave behind tell a much messier story.
All Agents Considered helps AI users become more independent by building open-source, local, and agentic setups they control.

My job title says one thing. The files I leave behind tell a much messier story.

Persistent memory keeps useful context. A small ledger beside each workflow keeps the verified lesson where the next run can find it.

From its training data to the percentage on your screen, this is how Substack’s new AI detector works.

I wanted Hermes to schedule my Substack Notes. A missing scheduling feature turned into an open-source tool built across Hermes, Codex, and a set of independent checks.

OpenAI keeps folding more of my agent stack into a $20 subscription. I still run Hermes as I want complete control over my workflows and the freedom to choose any model.

I kept upgrading my stack and Hermes kept getting confused. Twenty minutes looking at the right layer told me why.

Most AI workflows produce 80% noise because people tend to connect tons of systems before validating them against what their work needs. Here's the one test that saves you days of configuration.

I reorganized my vault so my agent could find things in thirty seconds. Boring fix, and it worked.

Google is shutting down an open source tool in two days. Anthropic disabled Fable 5 because of the US government. My setup doesn't care, and here's why yours shouldn't either.

It's time to move from asking questions to designing pipelines, and why your AI stops being useful when you need it most.

AI benchmarks measure clean tasks. Agent workflows test messy realities. Here is how I route Opus, GPT, Qwen, and GLM across a real Hermes workday.

Copy-paste prompts for checking Hermes memory, gateways, scheduled jobs, model IDs, and backups before silent drift breaks your agent workflows.

I ran six plans through Hermes to find out which ones finish the job and which ones just look cheap on the invoice.

A practical decision framework for choosing between MCPs, CLIs, and custom wrappers to give Hermes, or any other AI agent, the right interface instead of connecting every tool.

I built a Cloudflare Worker that lets Claude Code talk to OpenCode Go and Zen models, including free models like MiniMax M2.5 and Nemotron 3 Super.

A practical guide to adding human checkpoints to Hermes workflows, with examples for outbound content, system changes, and paid actions.

Set up Hermes in 20 minutes and wake up to sorted tasks and curated articles instead of manual scrolling.

Karpathy named two extremes. Here is the spectrum that covers everything in between, and the habits that shift you in the right direction.

Claude charges $200 per month for Cowork and Code, but it limits you mid session. Here’s the Hermes stack that beats both with unified system memory, file sync, blazing fast speed, and unlimited usage

Hermes is the AI agent I’d recommend to anyone starting today. Here’s how I migrated from OpenClaw.