SEE IT RUNNING
See XMPro MAGS in action.
The runtime views and the governed configuration behind a MAGS decision team: the actual product, screen by screen.
01Multi-Agent Decision Teams
One operational decision. Multiple specialist agents.
Specialist agents, one decision
Roles & objectives
Governed coordination, not chatter
Message broker
Consensus before action
Collaborative iteration
Each runs its own loop
ORPA loop
02Cognitive Architecture Beyond LLMs
XMPro agents use LLMs as reasoning tools — not as their core intelligence.
Memory-Driven Decision Engine
Memory cycle
Persistent Vector Memory
Episodic & semantic
Domain Knowledge Services
Grounded context
Observe-Reflect-Plan-Act Cycle
ORPA loop
03Individual Agent Intelligence & Specialization
Every agent is a specialist with unique capabilities and continuous learning.
Agent Profile System
Agent profiles
Cognitive Capabilities
Memory cycle
Tool & Integration Framework
Tools & integration
Continuous Learning
Adaptive over time
04Formal Planning & Optimization
Strategic thinking and measurable outcomes — not just reactive responses.
PDDL Integration
Formal plans
Multi-Criteria Optimization
Weighted objectives
Adaptive Planning Strategies
Replanning
Confidence Scoring
Quantified certainty
Performance Tracking & Learning
Measured learning
05Configured, Not Hard-Coded
The agent is configuration, not code.
Read: Parametric Agent ArchitectureKnowledge as configuration
Readable config
Reviewed, versioned, reused
Version control
Experts configure, without code
No-code design
Model choice is not the agent
Model-agnostic
Patterns that travel
Reusable patterns
06Governed By Design
The model proposes. The decision architecture governs.
Objective functions
Scored target
Policy constraints
Deontic guardrails
Approved tools
Bounded access
Action definitions
Routing rules
Measures
Governed signals
Objective functions
Define what the agent or team is optimising — a business goal written as a scored target it reasons against, not a hidden prompt.
Policy constraints
Formal must / may / must-not rules, each with an explicit violation action — deontic guardrails an auditor reads directly, enforced before anything acts.
Approved tools
Exactly which data, calculations, and services an agent may use — nothing reaches the model or the plant from outside this set.
Action definitions
Which actions can be routed at all, and how — human review, FRS simulation, escalation, notification, or bounded execution.
Measures
The signals the agent reasons over — base and calculated measures with defined significance, so it acts on governed data, not raw noise.
07Decision Trace
Every decision loop leaves evidence.
Reviewable for operations
Replay
Technical evidence for engineering
Step-level detail
Auditable for risk
Audit trail
Proof for executives
Accountability
08Enterprise-Grade Architecture
Built for production environments, not just demos.
Industrial Reliability
Always on
Enterprise Integration
Connected
Full Observability
Telemetry
Security & Governance
Access & compliance
Scalable Architecture
Scales out
Communicate & Collaborate With Your Agentic Team Your Way
Receive notifications, approvals, and decisions from agents where your operators already work.
DEMO ON DEMAND
Request access to see XMPro MAGS in a real deployment.
A private briefing follows a MAGS decision team through one real industrial call: weighing recovery, energy, quality, and safety, acting only within agreed authority, and recording every step as a Decision Trace.
Shared privately, at XMPro’s discretion, with senior decision-makers at the world’s leading industrial and mission-critical operations.
Request accessSee how it fits your operation.
You’ve seen MAGS running. Talk to our team about the decisions you’d put it to work on, or explore the architecture behind it.