Tuesday, March 25, 2025
HomeSoftware EngineeringInformation Graphs as Agentic Reminiscence with Daniel Chalef

Information Graphs as Agentic Reminiscence with Daniel Chalef


Contextual reminiscence in AI is a serious problem as a result of present fashions battle to retain and recall related info over time. Whereas people can construct long-term semantic relationships, AI methods typically depend on mounted context home windows, resulting in lack of necessary previous interactions.

Zep is a startup that’s creating a reminiscence layer for AI brokers utilizing temporal Information Graphs, enabling brokers to retain long-term contextual info. It was based in 2023 and was a part of the Y Combinator batch of Winter 2024.

Daniel Chalef is the Founding father of Zep. He joins the present with Kevin Ball to speak concerning the problem of contextual reminiscence in AI, temporal data graphs, ambient AI brokers, and extra.

Be sure you try Graphiti on GitHub and skim the Zep White Paper on arXiv.

Full Disclosure: This episode is sponsored by Zep.

Kevin Ball or KBall, is the vice chairman of engineering at Mento and an impartial coach for engineers and engineering leaders. He co-founded and served as CTO for 2 firms, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group via Latent House.

 

 



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