Almasi
Your filesystem becomes your runtime.
A Python runtime that resolves library components directly from filesystem structure. Compose and extend libraries through ordinary Python classes, inheritance, and plugins.
Independent systems research · Built in Python
Explore the Almasi AI Stack: a filesystem-native runtime and a shared, persistent world of Python objects for applications and AI agents.
Three layers, one direction
Each layer builds on the one beneath it, bringing code structure, application state, and agent execution closer together.
A Python runtime that resolves library components directly from filesystem structure. Compose and extend libraries through ordinary Python classes, inheritance, and plugins.
A persistent object model unifying identity, relationships, validation, schema, and state. Applications and agents work with the same entities, with fewer representations to synchronize.
The next layer of the stack explores agentic workflows on top of Almasi.o: connecting structured intent, context, and execution within a shared object world.
See how it fits together
Two technical walkthroughs, straight from the creator.
Designed & built by
AI systems architect. 25+ years in software.
Experience at Google, PayPal, Mozilla, Yahoo, HP, and LG/webOS, spanning hands-on engineering, framework design, and technical leadership.
WordWield.ai is my independent research and development initiative. I designed and implemented the Almasi stack to explore a common foundation for applications and agents — with a natural potential fit for web applications, too.
Meet the architect on LinkedIn ↗Let’s talk about AI infrastructure, persistent runtimes, architecture, or opportunities to build these systems with a team.