DOGs take data management to the next level by merging data storage and process execution into a single graph-based model. Unlike traditional Directed Acyclic Graphs (DAGs)—used in tools like Apache Airflow for linear data pipelines—DOGs handle more complex scenarios, including feedback loops and interactive processes that AI systems often require.

Key Technical Features

• Hybrid Structure: DOGs are both data graphs (storing information) and execution graphs (running processes). This means they can manage data and perform tasks simultaneously within the same framework.
• Smart Nodes: Each node in a DOG can hold:
  • Data (state): Information specific to that node.
  • Behavior (methods): Instructions on what to do with the data. This makes nodes act like mini-programs that can talk to each other.
• Flexibility: DOGs support non-linear workflows, unlike DAGs, which are limited to one-way flows. This is crucial for AI applications that need to loop back or adjust in real time.
• Scalability: They’re built to handle growing amounts of data and complexity without slowing down.
• AI Integration: DOGs power Agent DOGs and Multi-Agent Data Object Graphs, where AI agents navigate the graph to perform tasks or collaborate on decisions.

Insights and Visualisations

What are DOGs page shows how DOGs are networks of interconnected nodes. Where a process might flow from raw data (a node) through analysis (another node) to a decision point (yet another node), with edges showing the direction and relationship. 

There are also tools for visualizing and querying these graphs, making it easy to “walk” through the system and see how it works.

DOGs aren’t just a tech concept—they’re a game-changer for your business. They simplify how you handle data and processes, saving time and unlocking new opportunities. Here’s what they can do for you:

Key Benefits

• Faster Insights: DOGs turn messy, raw data into clear, actionable information you can use to make decisions quickly.
• Smoother Operations: By linking data and workflows in one system, DOGs cut out manual steps and reduce errors, making your team more efficient.
• Growth-Ready: Whether your business doubles in size or takes on new challenges, DOGs scale with you, keeping everything running smoothly.
• AI Made Easy: DOGs let you add AI tools—like smart agents that automate tasks—without overhauling your existing setup.
• Better Decisions: They give you a clear view of how your business works, so you can spot problems, test ideas, and improve results.

Real-World Uses

• Digital Twins: Build virtual versions of your business processes to test changes or predict outcomes—think of it like a simulator for your company.
• Performance Tracking: Use DOGs as executable metric trees to monitor KPIs (key performance indicators) in real time and see what’s working.
• Automation with AI: Let AI agents handle repetitive tasks (like customer inquiries or inventory checks) while you focus on strategy.

The Agent DOG missions page highlights use cases where DOGs model complex workflows—like supply chains or customer journeys—showing how data moves and decisions happen step-by-step.