When to Choose an All-in-One LLM Platform, When to Build Custom

Wed, 22 Jul 2026 09:00:00 +0200

When I started laying out argentic-mw, I did what every engineer does before writing a line: look at what existed. I installed OpenClaw, I read Hermes Agent’s docs, I dug through repos, I ran scenarios by hand. Both projects are impressive and massively adopted, and I understand why: OpenClaw claims nearly 384,000 stars on GitHub, Hermes Agent sits around 218,000, and both promise a personal assistant that decides, acts and learns without intervention. It is seductive on paper and still seductive in use for a number of cases. For argentic-mw, it broke almost immediately, and not for reasons of model quality.

Build-vs-Buy on Mathias WOLFF

When to Choose an All-in-One LLM Platform, When to Build Custom