Agentic CPMS
Architecture PhaseAn open-source Charge Point Management System where AI agents handle the operational complexity that currently requires large operations teams: self-healing charge points, predictive maintenance, dynamic pricing, and automated incident response.
The EV charging software market is projected to reach $8-21B by 2033. Current CPMS platforms are monolithic, reactive, and expensive. An agentic approach could automate 80%+ of operational tasks.
Architecture covers OCPP 1.6/2.0.1 gateway (Go), core business logic (TypeScript), Next.js frontend, and 8 specialized AI agents. 24 epics and 114 user stories mapped out across 5 development phases.
Tech Stack
Key Features
- ✓OCPP 1.6 & 2.0.1 WebSocket gateway
- ✓Self-healing charge point agent
- ✓Predictive maintenance agent
- ✓Dynamic pricing optimization agent
- ✓Smart load balancing agent
- ✓OCPI 2.2.1 roaming integration
- ✓Customer support AI chatbot
- ✓Automated firmware orchestration
Challenges
OCPP protocol complexity (dozens of edge cases), real hardware testing requirements, and the need for OCA certification. The agentic angle is the key differentiator — no CPMS on the market offers AI-native self-healing and predictive operations.