MES AI
MES AI: A free, customizable MES framework for technical teams managing plant workflows. Ranked #19 of 31 in Manufacturing Execution Systems by our editors (7.1/10); pricing: Free plan; best for technical teams wanting free open-source MES.
At a glance
- Editor score7.1 / 10
- PricingFree plan
- Best forTechnical teams wanting free open-source MES
- Free planYes
- Paid fromFree
- Work order managementYes
- Facts checked20 Sep 2026
Where it wins
- Covers WIP, dispatch, genealogy, quality, OEE, and dashboards
- Supports SAP, OPC UA, MQTT, SQL Server, Oracle, and Kafka
- Runs on web, Windows, macOS, Linux, with API access
Where it doesn't
- On-premise deployment requires technical ownership
- Customization is needed for site-specific processes and workflows
- Not positioned as a hosted SaaS product
Our verdict on MES AI
MES AI is an open-source manufacturing execution system framework for organizations building tailored plant workflows. It combines browser-based design-time and runtime clients with a FastAPI server for configuring products, routes, dispositions, equipment, plugins, and master data. Teams can manage work in process, dispatch, inventory, quality, genealogy, shop-floor data collection, equipment performance, OEE, and dashboard metrics. Its scope suits technical manufacturing teams that want to deploy and adapt their own MES rather than adopt a fixed hosted product.
The published product details present MES AI as free and open source, with no paid tier structure described. Deployment is on-premise and centers on locally run services and databases, so the main commitment is technical ownership rather than a subscription plan. That model can fit organizations that need control over plant workflows and want to extend the system for site-specific processes, equipment, ERP connections, and protocols. It is less suitable for teams specifically seeking a hosted SaaS product with a ready-made deployment model.
Integration breadth is a central strength. Plugin-based connections cover ERP, equipment, protocols, and historians, with named integrations including SAP, OPC UA, MQTT, SQL Server, Oracle, Modbus, Redis, STOMP, AVEVA Historian, and Apache Kafka. The framework also supports dashboard metrics and WebSocket event updates, while its manufacturing data models align with ISA-95-style workflows. Choose MES AI when configuration depth, extensibility, and free open-source deployment matter across execution, quality, traceability, and data collection. Consider another option if your priority is a narrowly defined workflow, minimal customization, or a hosted service instead of an on-premise framework.
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MES AI pricing
MES AI fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Work order management | Yes |
| Quality management | Yes |
| Lot and serial traceability | Yes |
| Shop-floor data capture | Yes |
| Real-time dashboards | Yes |
| Deployment | On-premise |
| ERP integration | Yes |
| Deployment | Self-hosted |
| Platforms | Web, Windows, macOS, Linux |
| Support | Email, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: SAP, OPC UA, MQTT, SQL Server, Oracle, Modbus … |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 20 Sep 2026 |
MES AI integrations
MES AI lists 10 integrations on its own site.
- SAP
- OPC UA
- MQTT
- SQL Server
- Oracle
- Modbus
- Redis
- STOMP
- AVEVA Historian
- Apache Kafka
Alternatives to MES AI
- Siemens OpcenterA broad MES portfolio for manufacturers that need execution, quality, traceability, and planning.9.4
- Plex MESA broad cloud MES for manufacturers that need connected production, quality, inventory, and mobile workflows.9.2
- GE Vernova Proficy Plant ApplicationsA broad MES for production visibility, traceability, quality, and ERP-connected operations.9.1
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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