Git4Data: Database-Native Version Control for AI Agents
Large Language Model (LLM) agents increasingly explore many candidate states of relational data in parallel, each of which should remain isolated, reproducible, and auditable, preferably through the same SQL interface used for ordinary data work. Existing tools support this requirement only partially: source-code version control does not scale to large datasets, whereas relational databases manage large data efficiently but rarely expose native branching, comparison, and merging. We present Git4Data, a database-native version-control layer for agentic workflows. Git4Data treats a database as a repository and a table as a versioned object, exposing Git-style operations (snapshot/tag, branc...
| Authors | Hongshen Gou, Zuyu Zhang, Yuze Sun et al. |
|---|---|
| Primary category | cs.DB |
| Published | 2 September 2026 |
| Last updated at source | 2 September 2026 |
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