Linguistic Agents Ltd develops AI architecture centered on structured environments, explicit agent models, and graph-based representation.
The company’s direction begins from the view that stronger AI requires stronger internal structure. It extends linguistic ideas about layered representation and constrained transformation into concrete multi-agent system design.
The present technical direction is a multi-agent graph runtime. In this runtime, an environment consists of graph structure plus small neural networks, and an agent is an environment with an LLM.
This architecture is intended to address a core weakness of current multi-agent systems. Too often, so-called agents are only message-passing endpoints. A more serious design begins when agents carry structured environments and explicit models of other agents.
Founder: Sasson Margaliot
Email: info@linguisticagents.com
Builders and researchers interested in this direction are welcome to get in touch.