Overview
MARS is the public runtime framework underneath the Multinex agent story. It gives highly distributed agent systems an explicit lifecycle, identity checks, memory-aware planning, and handoff semantics so the runtime can be inspected, tested, and extended without exposing proprietary hosted products.
Buyer-ready overview
This guide explains what the product does, when to use it, and how it helps your team adopt AI with clearer memory, security, and control.
How it works for your team
Left Hemisphere
Sequential Logic
Right Hemisphere
Spatial Graph
What makes it unique:MARS treats agent identity, memory handoff, and runtime stage control as first-class primitives instead of bolting them onto a prompt chain after the fact.
Operating Model
- Perceive: collect task, identity, constraints, and memory hints before acting.
- Plan: produce bounded plans that can be inspected, interrupted, or approved.
- Execute: run the smallest approved action set through a controlled runtime surface.
- Reflect: write outcomes, lessons, and handoff context back to journal or memory layers.
- Open boundary: framework code is public while hosted services, private connectors, and customer workflows stay separate.