DB-GPT
Open-source AI-native data platform built around the AWEL agent workflow language, multi-model support, and natural-language access to databases (Text2SQL, vector + relational + graph stores) for end-to-end data agents.
Description
DB-GPT (17k+ stars, MIT) is Eosphoros AI's open-source data agent platform. It positions itself as the AI-native infrastructure for data products: a unified agent runtime over multiple LLMs (open and proprietary), the AWEL (Agentic Workflow Expression Language) for composing agent pipelines, native multi-store support (vector, relational, graph), Text2SQL with rigorous schema-aware prompting, GraphRAG with both triplet-and-structure indexing (50% token savings vs. Microsoft GraphRAG per their published numbers), and the dbgpts package ecosystem for sharable agents and data apps.
Solution
AWEL defines the orchestration: each agent is a node, edges declare flow, and the runtime executes the DAG with explicit operator semantics. Each agent runs a tool-augmented loop with access to SQL execution, vector retrieval, graph queries, and Python code. Multi-model serving means routing per-task to the best-fit LLM.
Primary use cases
- natural-language data analytics over relational databases (Text2SQL)
- agentic data workflows composed in AWEL
- AI-native data products combining vector, relational, and graph storage
- domain-specific Text2SQL fine-tuning via DB-GPT-Hub
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Diagram, neighbourhood map, code examples, related patterns and full provenance.