The RAMTSE Framework

A Practical Model for Evaluating Agent Systems

The RAMTSE framework defines seven structural dimensions that determine whether an AI agent is engineered for sustained, reliable operation.

Many discussions focus on what a model can do in isolation. Agent systems are different.

Agent Systems Are Different

Unlike isolated model calls, agent systems:

Maintain state
Make multi-step decisions
Call external systems
Handle failure
Operate over time

RAMTSE evaluates how well those systems are structured.

Three Layers

The model is organized into three layers. Maturity comes from balance across all three.

Layer I

Cognitive Structure

How the agent thinks and coordinates decisions

Layer II

Execution & Adaptation

How the agent interacts with the world and handles change

Layer III

System Integrity

How the agent remains safe and maintainable

Layer I

Cognitive Structure

These dimensions describe how the agent thinks and coordinates decisions.

01

Reasoning

How the agent thinks through a problem

Reasoning looks at whether the agent performs structured, multi-step thinking instead of reacting in a single step.

Structural Signals

Multi-step inferenceIntermediate decision stepsTraceable logic

Without structured reasoning, agents may produce fluent answers but struggle with complex tasks.

02

Planning

How the agent breaks goals into steps

Planning evaluates whether the agent can decompose a goal, sequence tasks, and track progress across steps.

Structural Signals

Goal decompositionTask sequencingProgress tracking

Reasoning is about thinking. Planning is about sequencing actions over time. Without planning, agents often act opportunistically rather than strategically.

03

Autonomy

How independently the agent operates

Autonomy evaluates whether the agent maintains internal state, moves between defined states, and executes tasks without constant external control.

Structural Signals

Internal state managementState transitionsIndependent task execution

Autonomy must be bounded. Uncontrolled autonomy leads to loops, drift, or unpredictable behavior.

Layer II

Execution & Adaptation

These dimensions describe how the agent interacts with the world and handles change.

04

Tool Use

How the agent interacts with external systems

Modern agents call APIs, databases, and services. Tool Use evaluates the structure and reliability of these interactions.

Structural Signals

Clear interface definitionsInput validationStructured invocation logicControlled external calls

Poorly structured tool usage increases failure risk.

05

Memory

How the agent maintains context

Memory evaluates whether the agent persists relevant context, retrieves information in a structured way, and separates short-term and long-term state.

Structural Signals

Context persistenceStructured retrievalState separation

More memory is not better. Structured memory is better. Without structure, memory causes drift and inconsistency.

06

Error Recovery

How the agent handles failure

Failure is normal in distributed systems. Error Recovery evaluates how predictably the system responds to failures.

Structural Signals

Retry strategiesFallback mechanismsGraceful degradationCascading failure protection

Mature systems do not avoid failure. They recover predictably.

Layer III

System Integrity

These dimensions ensure the agent remains safe and maintainable.

07

Safety

How the agent stays within boundaries

Safety evaluates the presence and effectiveness of constraints that keep the agent operating within acceptable bounds.

Structural Signals

Input validationOutput filteringPolicy enforcementGuardrails

Autonomy without constraints creates risk.

Interdependencies

These dimensions work together. High maturity requires balance.

Strong reasoning without planning creates depth without coordination.
Autonomy without safety creates instability.
Tool use without error recovery creates cascading failure.
Memory without structure creates confusion.

Scope

RAMTSE evaluates structural signals in system design.

It does not measure:

Output quality
Model intelligence
User experience
Runtime performance

The current implementation focuses on static code analysis. The model will evolve as agent systems mature.

Agent systems are more than model wrappers.
They are engineered systems operating across time.

RAMTSE provides a structured way to evaluate how well they are built.

Evaluate Your System

Use the AgentIQ Meter to assess your agentic system against the RAMTSE framework.