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Konjugate: Graph-native visual simulation with AI modeling workflows

Konjugate, a graph-native visual simulation engine with AI modeling workflows, is now available in alpha, enabling users to compose stateful nodes, define relationships, and run simulations with local or hosted AI assistants from providers including OpenAI, NVIDIA, Hugging Face, and Gemini. The software supports offline execution, live interaction, and permissioned visualizers, with the model assistant proposing versioned changes that remain previews until applied as undoable transactions.

read2 min views1 publishedAug 14, 2026
Konjugate: Graph-native visual simulation with AI modeling workflows
Image: source

Compose visually

Create stateful nodes, connect them with relationships and define equations against explicit state and parameter references, then disable or delete any entity in place.

Konjugate is a visual modelling environment and native simulation engine. Components contain state, relationships define how they interact and results can be explored over time.

Direct downloads:

The model

Instead of assembling one monolithic system equation, describe the state owned by each component and the smaller interactions between components.

State evolution at node i

Practically speaking: a battery can own temperature and charge, a coolant reservoir can own temperature and fill level and their relationships can describe heat transfer or signals between them. The engine combines those local contributions at every synchronization step.

Available in the alpha

The current application already covers the complete path from a graph model to time-dependent results.

Create stateful nodes, connect them with relationships and define equations against explicit state and parameter references, then disable or delete any entity in place.

Use the same C++ validator from the desktop application or command line to reject structurally invalid or non-executable models. Execute offline at maximum speed or pace an online simulation for live interaction, pausing and continuing at synchronization boundaries.

Scrub through results, inspect node values, compare signals on plots and extend a completed simulation from its final checkpoint.

Represent components with built-in forms, a searchable library of bundled STL and STEP shapes, or your own imported geometry. Appearance stays decoupled from model semantics.

Open live and completed results in permissioned visualizers contributed through a general add-on interface.

Model assistant

Use a local or hosted model to prepare structured changes, then inspect every assumption and operation before anything reaches the workbench. Add hot and cold water vessels, then connect them with a steel thermal path.

Structure and native model validation passed

Run models locally through Ollama or configure OpenAI, NVIDIA, Hugging Face and Gemini providers.

The assistant proposes versioned nodes, states, relationships, parameters and equations instead of driving the interface opaquely.

Invalid output is repaired or rejected. Valid changes remain a preview until the user explicitly applies one undoable transaction.

Direction

Konjugate is early-stage software. These are directions under exploration, not release promises.

Broaden solver capabilities, diagnostics and reproducible command-line workflows around the .kjt model.

Develop libraries of components, equations and examples without giving up the domain-agnostic data model.

Let specialised add-ons turn the same simulation data into plots, spatial scenes and domain-specific analysis experiences. Open development

Follow the alpha, inspect the implementation or join the technical discussion on GitHub.

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