01
An initial identity
Each agent starts with a declared baseline of behavioral traits and a structured lifecycle.
WHAT IS GMESH
GMESH adds a persistent, evolving identity layer to AI agents. It gives experience a structure that can carry forward across interactions while remaining governable.
THE IDEA
An agent’s next response can be informed by more than the latest prompt. GMESH connects an initial identity, relevant experiences and a current behavioral state into a continuous history.
01
Each agent starts with a declared baseline of behavioral traits and a structured lifecycle.
02
Experiences are organized as episodes, facts and changing states, with their origin retained.
03
The agent’s present behavioral state can develop through experience under bounded rules.
THE DIFFERENCE
GMESH retrieves pertinent history for an interaction. A subsequent reflective process evaluates the agent’s own conduct before a qualifying experience can affect identity.
The agent can retrieve relevant memories when responding. Its current identity changes only through a qualifying reflective process; that change is bounded and recorded.
ACCOUNTABILITY
The identity layer records how a behavioral change arose. Its path can be followed back through a reflective factor to the source experience, supporting inspection and supervision.
01
The original interaction remains available as evidence.
02
The qualifying factor links conduct to an identity decision.
03
The changed state can be inspected against its prior state.