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Cohesive Systems

Cohesive is a semantic compilation platform for authoring durable system meaning as readable artifacts and accumulating it into an executable semantic system graph.

Building Blocks

Compose your system graph

Each Cohesive block contributes capabilities to the system graph (state transitions, relations, workflows, APIs, UIs, infrastructure, agent context, etc).

Cohesive.Core
public sealed class ShipmentShape : Shape
{
    public ShipmentShape()
    {
        Identity(nameof(Shipment.Id));
        Field<TenantId>(nameof(Shipment.TenantId));
        Field<ShipmentStatus>(nameof(Shipment.Status));
    }
}

The problem

Software meaning is scattered

Modern systems express the same decisions in many places: schemas, services, APIs, interfaces, jobs, and documentation.

As the system evolves, those expressions drift apart and the reasoning that connects them disappears into files, frameworks, and conventions. AI increases the pace of change without making the resulting system easier to understand.

Problem

Intent is repeated

Domain meaning is copied into several layers. Each copy can drift.

Problem

Structure is implicit

Behavior hides in framework conventions and local assumptions. The system's semantics are hard to inspect.

Problem

Agents reconstruct intent

Without explicit semantic source, agents infer intent from code, tests, documentation, and conventions. Those signals may be incomplete, stale, or contradictory.

The Cohesive approach

Cohesive captures system meaning in a directly inspectable graph authored through readable semantic artifacts. The graph expresses structure, behavior, constraints, interfaces, runtime requirements, and agent context. A deterministic compiler turns that model into supported code and runtime artifacts.

Together, the artifacts form a connected graph that people, agents, and compilers can inspect through views suited to their work.

UserPolicyWorkflowAPIDataAgentGenerated UIforms . dashboards . adminGenerated APIroutes . schemas . authEntities & Workflowsentities . states . processesInfrastructuredb . queues . workersUsersAgentsUserPolicyWorkflowAPIDataAgentGenerated UIforms . dashboards . adminGenerated APIroutes . schemas . authEntities & Workflowsentities . states . processesInfrastructuredb . queues . workersUsersAgents

Step 1

Author the semantic graph

Define accepted system meaning, including its constraints and operational obligations, through modular, readable, and reviewable Cohesive artifacts.

Step 2

Connect and analyze

Resolve identities and relationships across the graph, then evaluate dependencies, consistency, capability requirements, and affected regions.

Step 3

Compile and verify

Compile the graph into supported executable artifacts and compare those realizations with their semantic requirements.

Graph-first

Semantic-source-first, not code-derived

Code-derived graphs help navigation, but they are still reverse engineering. They explain code after it already exists.

Cohesive artifacts are authored first. They carry explicit semantics and compile into a graph that can generate or check code and runtime artifacts.

Code-derived graph

Descriptive

Inferred graphs help humans navigate code, but they remain downstream and inherit its gaps.

Cohesive source

Deterministically accumulated

Readable semantic artifacts compile into graph state that can check constraints, guide change, and drive supported projections.

Migration can start from existing code, but the destination is not a permanent mirror. The destination is explicit semantic source whose accumulated graph can govern implementation.

A graph agents can read

Agents use the same graph at build time and runtime.

Build time

Development agents

Use the graph as structured context for generating, refactoring, and testing code from declared semantics.

Runtime

Operational agents

Use the graph to understand allowed actions, effects, permissions, evidence, approval boundaries, and recovery paths.

Semantic layer

A semantic layer above the stack

Cohesive does not replace your database, cloud, frontend, workflow engine, IDE, or agent tool. It defines the semantic layer they can read from and write back to.

The graph describes what the system is; the compiler projects it into the technologies teams already use.

Explore

Try the code

Start with the building blocks and see graph-authored semantics become code and runtime artifacts.

Direction

See the vision

Read how semantic system graphs change authoring, operations, and AI context.

Contact

Get in touch

Share what you are building or ask about applying Cohesive to an existing system.