QM starts with a different agent question: how can a group share useful context and capabilities without erasing boundaries between people and rooms?
QM Is Trying to Solve the Company Agent Problem


QM starts with a different agent question: how can a group share useful context and capabilities without erasing boundaries between people and rooms?

Ponytail made my AI agent terser. Neckbeard makes it prove its work. Why I ditched the viral coding skill for one designed to catch mistakes, verify at the real boundary, and say what it couldn’t check. The architecture, authority gates, and evaluation suite inside.

As AI coding agents accelerate implementation, the bottleneck shifts upstream to spec creation. A practical walkthrough of how recorded stakeholder meetings, AI agent skills, and open-source profiles can break through the spec ceiling.

Anthropic released an open-source Claude Code skill that takes a founder from idea to a live managed agent in minutes. Hermes Agent already has most of the same primitives. Here’s the mapping, the gaps, and the blueprint.

Everyone building multi-agent systems assumes coordination needs a new infrastructure layer. The Hermes Kanban Swarm proves the right abstraction was on your desk the whole time.

I used to be a tmux power user. Years later, running multiple Hermes Agent sessions at once, I needed it back. Here’s how I went from zero to power user in one sitting.

The complete guide to Hermes Agent’s multi-agent kanban system: durable task boards, the dispatcher loop, worker lifecycle, orchestrator patterns, and production safety engineering for coordinating AI agents across sessions

A practical guide to installing and configuring hermes-cashew, the thought-graph memory provider for Hermes Agent. Five minutes from zero to a working semantic brain with recursive graph retrieval, think cycles, and sleep consolidation.

Notes on agent memory from years of building bespoke cognitive systems, and what changed when I found one simple enough to ship to other people.

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