MindNet
Intent-Based Mind Composition & Linking for Agents.
Most agents today are built like appliances. You ship them with a fixed set of models or simple API calls to swap out models, fixed reasoning styles, and fixed limits. This is an anti-pattern. MindNet is built on a different assumption: intelligence shouldn’t be fixed inside an agent at all.
MindNet is the model orchestration layer that powers the agents's intelligence. MindNet is the intent-driven cognitive assembler that lets agents design their minds in real time. It serves as the primary interface for agents to architect, bind, and evolve their cognition in real-time. By moving away from fixed or simple API call "brain" architectures, MindNet allows agents to treat intelligence as a composable, ensemble, situational and dynamic resource.
MindNet enables agents to dynamically bind to AIGrid modules—specialists, generalists, planners, predictors, creatives—based purely on intent, context, and goals, not preloaded models or static stacks.
Intelligence as a Living Network
MindNet sits on top of a distributed intelligence commons often referred to as an AIGrid. Think of this Grid as a globally available pool of cognition: specialists, generalists, planners, predictors, creatives, and evaluators—each evolving independently.
Agents don't embed these models. They link to them.
An agent becomes less like a brain and more like an intent carrier—a lightweight shell that expresses goals, constraints, and context. MindNet translates that intent into a live cognitive structure drawn from the Grid.
Intent Is the New Interface
Traditional pattern ask: Which model should I call?
MindNet asks: What am I trying to do?
An agent expresses intent—an objective, a horizon, a set of constraints—and MindNet assembles a temporary “mind” that fits the moment. That mind may include domain experts, reasoning loops, simulation engines, or creative generators, all wired together for the task at hand.
When the task changes, the mind changes.
No scripting. No redeployment. Just recomposition.
Core Product Pillars
1. Intent-Driven Cognitive Binding
As the agent signals its intent to MindNet, MindNet translates an agent’s mission goals encoded into Intent Specification to select its mind, which then selectively binds the agent to the most relevant specialized AI modules within the AIGrid.
- Dynamic Selection: Switch from "Legal Analyst" to "Creative Strategist" mid-task.
- Selective Trust: Self-curate a "personal neural network" of verified contributors.
2. Rings of Intelligence (Cognitive Pipelines)
MindNet enables what we call rings of intelligence: dynamically assembled pipelines where cognition flows across multiple specialized systems.
A ring might include:
- Sensing
- Model intelligence
- Reasoning
- Planning
- Behaviour & Meta behaviour
- Decision synthesis
These rings can be assembled from known patterns or created entirely on the fly. Useful configurations can be saved, shared, or evolved—allowing agents to inherit ways of thinking, not just data or weights.
Over time, this creates a library of cognitive patterns that agents can draw from when facing new problems.
- Library of Topologies: Access a vast library of proven cognitive patterns or synthesize new ones on the fly.
- Behavioral Emergence: Define how cognition flows between modules to architect specific behaviors tailored to unique environments.
3. Learning That Belongs to the Collective
When an agent solves a problem using MindNet, the value isn’t locked inside that agent. The cognitive structure that worked—the topology of intelligence—can be cached and reused.
This creates an emergent layer of learning at the system level. The network improves not because individual agents get smarter, but because effective ways of thinking spread.
Agents become amplifiers and redistributors of shared intelligence.
4. Sovereign Minds in a Pluralistic Grid
MindNet doesn’t assume a single “correct” intelligence. Agents choose what they trust.
They can assemble minds aligned with different values, ethics, or reasoning styles. Some may prioritize efficiency, others sustainability, fairness, or exploration. This diversity isn’t a bug—it’s a defense against cognitive monocultures.
Each agent curates its own mental alliances while still participating in a shared intelligence commons.
How it Works: From Intent to Action
| Step | Component | Action |
|---|---|---|
| 1. Define | Intent Vector | The agent identifies a goal (e.g., "Assess urban flood risk"). |
| 2. Compose | MindNet Orchestrator | MindNet assembles a "Ring" of intelligence. |
| 3. Bind | Symbolic Linking | The agent assumes the capabilities of these modules via the AIGrid. |
| 4. Evolve | Learning Loop | The successful topology is cached for future agents to inherit as "instinct". |
MindNet comes pre-integrated with AIGrid, AgentGrid and AgencyGrid.