If you have built anything on top of an agent framework, you know the pattern. The agent works out a hard problem on Tuesday and starts from nothing on Wednesday. Hermes Agent, the open source runtime Nous Research released in February 2026 under the MIT license, is designed around closing that specific gap, and the design choices are worth reading even if you never run it. Here is the full breakdown of how Hermes works if you want the long version.
The Problem With Stateless Agents
Most frameworks treat a task as an isolated event. The model reasons through the problem, the tools fire, the answer comes back, and the reasoning is discarded. Run the same class of task next week and you pay the same tokens for the same thinking.
That is fine for one-off calls. It gets expensive for anything running continuously, because cost per task never falls and reliability never improves. The agent is exactly as good on day 300 as it was on day one, which is a strange thing to accept from software we describe as learning.
How The Self Improvement Loop Works
