Graphiti is a Knowledge Graph-powered memory system for AI agents. It effortlessly constructs detailed graphs from dynamic business data and chat histories. Empower your Python agent with swift, precise access to relevant information, even as it changes and grows. Check out our GitHub repo to learn more!
Let me introduce you to Graphiti, an open-source Temporal Knowledge Graph framework designed to give AI agents the ability to learn and retain information over time, much like humans do. 🤖
Graphiti draws inspiration from Microsoft's GraphRAG but introduces a key architectural innovation: it understands how new data can impact existing information, making it uniquely suited for handling data that evolves over time.
Why is this important? Consider a food delivery app that keeps recommending your old favorite burger spot even after you’ve gone vegan. Or a sales assistant that forgets a client’s purchase history and constraints, leading to awkward, irrelevant product suggestions. These kinds of experiences frustrate users and erode trust in AI systems.
Graphiti solves this by enabling AI agents to reason with changing data, delivering more personalized and context-aware interactions. Whether you're developing a chatbot, an LLM-powered assistant, or a cutting-edge AI system, Graphiti provides the foundation for fast, accurate, and long-term memory.
We’ve integrated Graphiti into Zep, our memory layer for enterprise AI agents, and published a paper comparing Zep and Graphiti to other memory approaches—spoiler: it’s state-of-the-art! You can find an overview [here] or dive into the full paper on [arXiv].
Check it out and see how Graphiti can transform your AI systems! 🚀
Free
Tags : Open Source , Artificial Intelligence , SDK
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