Graphiti
Build personalized AI agents that learn from dynamic data
417 followers
Build personalized AI agents that learn from dynamic data
417 followers
Graphiti is Knowledge Graph-based memory for AI agents. Automatically build rich graphs from changing business data & chat histories. Enable your Python agent with fast access to relevant, accurate data, even as it evolves over time. Visit our GitHub repo!
Graphiti
🚀 Hey Product Hunt!
I'm Daniel, the founder of Zep.
I want to introduce you to Graphiti, an open-source Temporal Knowledge Graph framework that gives AI agents the ability to learn and retain information over time, just like humans do. 🤖
Graphiti was inspired by Microsoft GraphRAG, but has a key architectural difference: It understands how newly ingested data might change existing data, and is purpose built for data that evolves over time.
Why does this matter? Imagine you tell a food delivery app that you've adopted veganism, but it keeps recommending your once-favorite burger joint. Or picture a sales assistant that forgets a key client's purchasing history and constraints, resulting in tone-deaf product pitches. That's the kind of experience that frustrates users and undermines trust in AI.
With Graphiti, AI agents can reason with evolving data, enabling more personalized, context-aware interactions. Whether you're building a chatbot, LLM-powered assistant, or a next-gen AI system, Graphiti provides the foundation for fast, accurate long-term memory.
We've implemented Graphiti in Zep, our memory layer for enterprise AI agents, and wrote a paper on how Zep and Graphiti perform versus other approaches to agent memory (it's the State of the Art!). You can find an overview here or read the paper on arXiv.
⏱️ Quick start → Docs
👀 Repo → GitHub
📄 Paper → arXiv
📖 Learn more → Docs
💡We'd love to hear your thoughts—how might Graphiti offer value to the products you're building? Let us know in the comments!
@daniel_chalef @sonu_goswami2 thank you!
Congratulations to you and the entire team, @daniel_chalef. Improvements in ASR, LLM, and TTS inference are fantastic, but adding intelligent long-term memory completes the puzzle. We’ve been waiting for this!!
Graphiti
@adrianmullan thank you!
Kepler Skills Insights
Ooh - this is wonderful!
I know how frustrating it is to get outdated info from platforms I'm engaging with.
Are you able to be quite specific about which data gets updated when using it on your app? If the AI agent is using multiple sources to generate information, can you decide which updated information is fed into Graphiti?
Raycast
Graphiti gives chatbots memory that updates over time. 🧠⌛
Graphiti's approach is superior to classic RAG because it stores information in a queryable Knowledge Graph which replaces big text dumps that usually overstuff context windows.
Not only does this mean you no longer have to keep reminding chatbots of things you've already told them, but they can start to reason over data and information that changes over time, like your affinity for certain brands or the number of pets or relatives you might need to take on a trip.
Graphiti is open source and published under the Apache license.
Shram
This is a huge step forward for AI memory and personalization. The problem of AI forgetting or misinterpreting evolving user preferences is one of the biggest blockers to truly intelligent assistants. Graphiti’s approach to dynamically updating knowledge instead of just appending new data is huge.
Congrats on the launch!
Best wishes and sending lots of wins to the team :) @daniel_chalef
Graphiti
@whatshivamdo Thanks for the insight and the kind words!
Absolutely! Lately, I’ve been feeling drained from repeatedly reminding chatbots to remember the same things. This is truly impressive! Wishing you great success! 🚀
@kay_arkain thank you! Glad you think Graphiti may be useful for your Gen m agentic apps!
@ari_harrison360 glad you think it’s useful!
Awesome product @daniel_chalef and Team! Daniel you're mentioning enterprise AI use cases for Graphiti. Indeed there are legions of marketing managers monitoring monthly KPIs across multiple product lines based on guts feeling who would benefit from using it for analytics. Best of luck!
Graphiti
@denis_sigal thank you, Denis!