# Modular Intelligence

Autonomous systems evolve fast, but intelligence is never static.\
Models improve, strategies change, constraints shift. Any coordination layer that hard-codes intelligence quickly becomes obsolete.

MinD Robotics is designed around **modular intelligence**. It does not impose how agents think. It provides a framework where different forms of intelligence can be composed, replaced, and upgraded over time.

#### Pluggable Decision Modules

Agents connected to MinD Robotics can integrate multiple decision modules, each responsible for a specific function.

These modules may include:

* reasoning or planning models
* policy engines
* optimization or routing logic
* rule-based constraints

Modules operate independently and expose standardized inputs and outputs. This allows agents to adapt their behavior without modifying the underlying coordination layer.

#### Intelligence Without Lock-In

Modular intelligence prevents dependency on a single model, provider, or architecture.

Agents can:

* switch models as performance improves
* combine multiple strategies in parallel
* experiment with new decision logic safely

MinD Robotics remains agnostic to how intelligence is implemented. Its role is to ensure that different forms of intelligence can coexist and coordinate within the same system.

#### Coordinating Heterogeneous Agents

In real-world systems, not all agents are equal. Some are simple, others highly specialized.

The modular approach allows:

* lightweight agents to participate with minimal logic
* advanced agents to deploy complex reasoning stacks
* heterogeneous systems to coordinate without alignment overhead

This makes MinD Robotics suitable for mixed environments, where software agents, services, and robots interact despite different capabilities.
