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[GH-ISSUE #2227] [FEAT]: Improve Memory with Graphiti's temporal Knowledge Graph #1452

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opened 2026-02-22 18:24:52 -05:00 by yindo · 3 comments
yindo commented 2026-02-22 18:24:52 -05:00
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Originally created by @danielchalef on GitHub (Sep 5, 2024).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/2227

What would you like to see?

This is a really cool project! Memory management seems pretty primitive at this stage. I'm one of the authors of Graphiti, an open-source library for building and querying temporal Knowledge Graphs. We see personal assistants and agents as a core use case for Graphiti. If you're interested, we'd be happy to assist with integration.

Originally created by @danielchalef on GitHub (Sep 5, 2024). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/2227 ### What would you like to see? This is a really cool project! Memory management seems pretty primitive at this stage. I'm one of the authors of [Graphiti](https://github.com/getzep/graphiti), an open-source library for building and querying temporal Knowledge Graphs. We see personal assistants and agents as a core use case for Graphiti. If you're interested, we'd be happy to assist with integration.
yindo added the enhancementIntegration Requestfeature request labels 2026-02-22 18:24:52 -05:00
yindo closed this issue 2026-02-22 18:24:52 -05:00
yindo commented 2026-02-22 18:24:52 -05:00
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@luisgithub269 commented on GitHub (Sep 20, 2024):

Hi @danielchalef, I would like to thank you for your availability to review this architecture and libraries that increase the capabilities of AI agentic. Yesterday I was testing the functionality of the library and they exceeded my expectations in the replication of the exercises proposed for the reproducibility of the concepts. what they indicate from the library, in the repository and I also have a question when the functionality of using local models would be added, or taking the open format of OpenAI it can be integrated with local model, to review performance issues and use it with private information and computer equipment with limited capacities, I will be observing when this leap can be made and how it can add functionality beyond closed models and open the doors to innovation with other models.

@luisgithub269 commented on GitHub (Sep 20, 2024): Hi @danielchalef, I would like to thank you for your availability to review this architecture and libraries that increase the capabilities of AI agentic. Yesterday I was testing the functionality of the library and they exceeded my expectations in the replication of the exercises proposed for the reproducibility of the concepts. what they indicate from the library, in the repository and I also have a question when the functionality of using local models would be added, or taking the open format of OpenAI it can be integrated with local model, to review performance issues and use it with private information and computer equipment with limited capacities, I will be observing when this leap can be made and how it can add functionality beyond closed models and open the doors to innovation with other models.
yindo commented 2026-02-22 18:24:52 -05:00
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@danielchalef commented on GitHub (Sep 20, 2024):

@luisgithub269 You should be able to use Graphiti with any OpenAI-compatible inference endpoint. Just provide the correct base_url, key, and model name in a LLMConfig that you pass to the Graphiti OpenAIClient.

@danielchalef commented on GitHub (Sep 20, 2024): @luisgithub269 You should be able to use Graphiti with any OpenAI-compatible inference endpoint. Just provide the correct base_url, key, and model name in a [`LLMConfig`](https://github.com/getzep/graphiti/blob/main/graphiti_core/llm_client/config.py) that you pass to the Graphiti [`OpenAIClient`](https://github.com/getzep/graphiti/blob/main/graphiti_core/llm_client/openai_client.py).
yindo commented 2026-02-22 18:24:52 -05:00
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@luisgithub269 commented on GitHub (Sep 25, 2024):

Hi @danielchalef, Thank you for your reply, I have a question, is whether a benchmark has been carried out with open source models or with local deployment, to see their performance, reasoning, and other important metrics, to see how the system behaves, in its behavior, yes. performance degrades or if it incurs hallucinations or other problems of the same nature, and see if you can use guard rails, semantic routes or other techniques to correct or anticipate these failures, thanks in advance.

@luisgithub269 commented on GitHub (Sep 25, 2024): Hi @danielchalef, Thank you for your reply, I have a question, is whether a benchmark has been carried out with open source models or with local deployment, to see their performance, reasoning, and other important metrics, to see how the system behaves, in its behavior, yes. performance degrades or if it incurs hallucinations or other problems of the same nature, and see if you can use guard rails, semantic routes or other techniques to correct or anticipate these failures, thanks in advance.
yindo changed title from [FEAT]: Improve Memory with Graphiti's temporal Knowledge Graph to [GH-ISSUE #2227] [FEAT]: Improve Memory with Graphiti's temporal Knowledge Graph 2026-06-05 14:40:51 -04:00
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Reference: Mintplex-Labs/anything-llm#1452
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