Being More Human — and a Specialist Team Behind It: Chat Realism, Concurrent Specialists, 42 Built-in Skills, Graph-Augmented Recall
The previous release (Hermes Catch-up) filled in the runtime's plumbing: a user model, a skill lifecycle, prompt-cache economics, checkpoints. This one is about something harder to measure and easier to feel — making MicroClaw behave like a person, and specifically like a very capable person who happens to have a team behind them.
The thesis, lifted from the design docs that drove this release: "being human" is two layers, and the magic is in the contrast between them.
On the surface they chat with you casually, lightly, in short replies. But the moment you need something real, they quietly pull in a mathematician, an illustrator, a researcher — several lines running at once — and come back with "done, here's the answer."
MicroClaw used to be robotic on both layers: it dumped long answers up top, and although it could run sub-agents concurrently, it worked in silence until everything was finished. This release reworks both — and gates every outward-facing, proactive behavior behind a default-off switch.
