solo-developer

Multi-agent system for supply chain optimization

PythonLangGraphLangChainSQLite
Stack tools4
AddedMar 2026
StatusPublished

Proof-of-concept multi-agent supply chain simulation built and publicly shared, received 8 feedback comments highlighting strengths in coordinator design but latency/scaling concerns

solo-developer

Why they built it

To demonstrate simple modeling of supply chain decision-making via LLM agents and solicit community feedback on agent roles, LLM optimization, scaling challenges, deployment, and production features

What worked

Simple and clear design achieved; coordinator agent effectively synthesizes outputs and prevents conflicts

What broke or was painful

High latency even with async processing (all 5 agents take considerable time); untested edge cases for conflicting agent recommendations; anticipated scaling failures in continuous/large-scale operation

The result

Proof-of-concept multi-agent supply chain simulation built and publicly shared, received 8 feedback comments highlighting strengths in coordinator design but latency/scaling concerns

References