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Graphs for Agentic Systems: Why We Use Them
Agentic Systems
May 21, 2025

Graphs for Agentic Systems: Why We Use Them

As agentic systems become more capable, how we structure their workflows matters as much as the models themselves. One pattern we rely on at Softrobot is the graph, where each node reflects a concrete action or decision in the agent’s process. This isn’t off-the-shelf orchestration. It’s an in-house system, purpose-built around the idea of representing the agent’s evolving context as it runs. Here’s why that structure works, and how we apply it to get the most of what matters.

Design Patterns for LLM Applications
LLMs

Design Patterns for LLM Applications

The ever-increasing capabilities of Large Language Models (LLMs) have brought forth a new type of AI applications, making it possible to tackle problems in a human-like manner – often while using little to no training data (there's no getting around understanding the domain though 😉). While keeping up with the constant flood of new LLM application techniques can make any developer tired, certain patterns have proven consistently useful.

May 8, 2025

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