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alibabaSemantic runtime for enterprise AI agents and data governance
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UnifiedModel (UModel) is a vendor-neutral semantic runtime designed to make enterprise data understandable to AI agents, facilitating data governance and operational intelligence. It transforms fragmented data schemas, entities, and relationships into a unified, workspace-scoped graph context, enabling humans and AI to query and reason over complex enterprise information consistently. This accelerates AI initiatives, reduces data governance costs, and prevents vendor lock-in by establishing a live, programmable semantic operating system.
How It Works
UModel operates as a local service, constructing a workspace-scoped object graph from model packs that define enterprise semantics. It ingests runtime entities and topology relations, exposing a unified read surface via SPL (.umodel, .entity, .topo) and REST APIs. This approach provides a consistent semantic standard across diverse platforms and tools, enabling AI agents to navigate and utilize enterprise data contextually. Its architecture prioritizes vendor neutrality and a programmable runtime, moving beyond static data dictionaries towards a dynamic semantic layer for AI collaboration.
Quick Start & Requirements
make quickstart for a local API and Web UI with a preloaded demo workspace.make check-env.GRAPHSTORE=memory is used for quickstart demos (ephemeral). Persistent local storage uses file.memory with --data.http://localhost:5173; Documentation: docs/README.md.Highlighted Details
memory, file.memory (persistent JSON), and local.ladybug backends.Maintenance & Community
CONTRIBUTING.md.SUPPORT.md.CODE_OF_CONDUCT.md is enforced.CHANGELOG.md tracks updates.Licensing & Compatibility
Limitations & Caveats
The open-source core focuses on local operation, public contracts, semantic modeling, and agent integration. Cloud-hosted control planes, multi-tenant authorization, and certain domain-specific APIs outside the core Query Service are explicitly excluded from this repository.
4 days ago
Inactive