microsoft / microsoft/agent-framework
[Feature Request] Industry-specific agent templates & cross-industry reuse patterns
- Dominant language
- Python
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Description
## Problem
Microsoft Agent Framework makes it easy to build individual agents, but when applied to real industries (manufacturing, energy, healthcare, agriculture), teams spend 70% of time on:
1. **Domain modeling** — mapping business concepts to agent capabilities
2. **Reinventing the wheel** — building "defect detection" agents for each industry from scratch
## Proposed Solution
The **SRAO Framework** provides a complementary methodology layer:
| Component | What it adds |
|-----------|-------------|
| SRAO-Domain-Modeler | Pre-built concept dictionaries + ER diagrams for 5 industries (manufacturing, energy, healthcare, agriculture, transportation) |
| SRAO-Agent-Graph | 6-category agent taxonomy + cross-industry reuse matrix (e.g., image defect detection = 70% reuse across 5 industries) |
| SRAO-Workflow-Orchestrator | 4-layer fault tolerance + Prometheus/Grafana monitoring + Docker Compose deployment |
## Example: Cross-industry agent reuse
```
Image Defect Detection Agent:
Manufacturing → surface inspection on assembly line
Energy → wind turbine blade crack detection
Healthcare → CT lung nodule detection
Agriculture → crop disease identification
Transportation → tunnel crack monitoring
→ Core AI: 70% reusable, only input preprocessing + model fine-tuning differ
```
## Links
- Framework: https://github.com/beixuan577/SRAO-Framework
- Domain Modeler: https://github.com/beixuan577/SRAO-Domain-Modeler
- Agent Graph: https://github.com/beixuan577/SRAO-Agent-Graph
- Workflow Orchestrator: https://github.com/beixuan577/SRAO-Workflow-Orchestrator
Would love to hear if the team is considering a methodology layer for industry-specific deployment patterns.
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