WHAT IS GMESH

A life history for artificial agents.

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

Identity has a history.

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

An initial identity

Each agent starts with a declared baseline of behavioral traits and a structured lifecycle.

02

A narrative memory

Experiences are organized as episodes, facts and changing states, with their origin retained.

03

A current identity

The agent’s present behavioral state can develop through experience under bounded rules.

THE DIFFERENCE

Memory can inform conduct. Reflection can change it.

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.

01Retrieval for the present interaction
02Reflection on conduct
03Bounded identity update

ACCOUNTABILITY

Change with a reason.

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

Source experience

The original interaction remains available as evidence.

02

Reflection

The qualifying factor links conduct to an identity decision.

03

Identity record

The changed state can be inspected against its prior state.