Where operations meet the algorithm.
Sharp, open tools for the messy parts of real operations. Built in public and free to fork.
I experiment with AI and build tools to understand what problems it can solve, where the constraints are, and what stays questionable the moment you try to scale to enterprise level.
Every project here is a real operational problem turned into working code, not a demo. Everything is open: fork it, break it, send it back better. The thinking behind each one lives on alxsidr.io.
// from the lab
all projects →Global Operations Risk Monitor
A multi-agent framework that watches operational risk across freight, fuel, labour, weather and geopolitics, then turns what it finds into briefings you can actually use.
FlowTwin
Turn a recording of any operational process into editable process maps and runbooks that are adjustable, auditable, and kept current. The capture layer for tribal knowledge.
Procez.io - Process Navigator
A guided canvas for finding automation opportunities in the way you already work, with an AI agent working alongside you on the same board.
OODAA
A small, readable self-improving agent loop. Observe, Orient, Decide, Act, and the second A, Adjust: the phase that makes an agent get smarter across runs instead of only faster within one.
The Orchestrator
An open-source nerve center that coordinates a fleet of AI agents across the supply chain - every decision governed, every action traced.
Calibri
Agentic coordination of samples management in the agri-food and soft-commodities sector.
Synthax
A synthetic assistant in development, with supply-chain consulting capabilities.