YiGraph
YiGraph is an intelligent graph data analysis agent based on the AAG framework, capable of automatically extracting entities and relationships and generating analytical reports.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Views
- 6
- Source
- GitHub
- Added
- 2026-07-25
- Last verified
- 2026-07-25
Overview
YiGraph is an end-to-end intelligent graph data analysis agent system designed to help users quickly gain insights into key relationships from complex data. It can automatically extract entities and relationships from various raw data sources—such as logs, documents, and tables—and construct structured graph data. Users need only describe their business questions in natural language, and the system will automatically plan the analysis process, perform computations, and generate clear, interpretable, and traceable analytical reports. The system internally uses large language models to understand user intent, decompose analytical tasks, and organize final outputs. The AAG framework ensures the reliability of analysis results by invoking graph algorithms and graph systems at critical stages for verifiable computation.
Key features
- ▪Knowledge-driven task planning
- ▪Algorithm-centric reliable execution
- ▪Task-aware graph construction
- ▪Rich graph algorithm library
Use cases
Pros
- +Automatic entity and relationship extraction
- +Generation of interpretable analytical reports
- +Support for diverse industry application scenarios
- +Built-in 200+ graph algorithms
Limitations / notes
- -Requires some learning curve
- -Requires internet connectivity to run
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, YiGraph is an open-source project and can be used for free.
Does it support Chinese?
Yes, YiGraph provides documentation in Simplified Chinese.
Can it be used commercially?
Yes, YiGraph uses the MIT license, which allows commercial use.
What programming languages are required?
Primarily Python 3.11+.
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