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-# graphiti: Temporal Knowledge Graphs for Agentic Applications
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+# graphiti
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+## Temporal Knowledge Graphs for Agentic Applications
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+[![Discord](https://dcbadge.vercel.app/api/server/W8Kw6bsgXQ?style=flat)](https://discord.com/invite/W8Kw6bsgXQ)
[![Lint](https://github.com/getzep/graphiti/actions/workflows/lint.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/lint.yml)
[![Unit Tests](https://github.com/getzep/graphiti/actions/workflows/unit_tests.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/unit_tests.yml)
[![MyPy Check](https://github.com/getzep/graphiti/actions/workflows/typecheck.yml/badge.svg)](https://github.com/getzep/graphiti/actions/workflows/typecheck.yml)
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/getzep/graphiti)
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graphiti builds dynamic, temporally-aware knowledge graphs that represent complex, evolving relationships between entities over time. graphiti ingests both unstructured and structured data and the resulting graph may be queried using a fusion of time, full-text, semantic, and graph algorithm approaches.
-![graphiti demo slides](https://github.com/getzep/graphiti/blob/main/assets/graphiti-intro-slides-stock-2.gif)
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With graphiti, you can build LLM applications such as: