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discussions Search Results · topic:hacktoberfest org:mem0ai fork:true

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Hi! First of all, thank you for developing this. It looks amazing and is very easy to use and is likely the solution I go with. However, I do have one concern. If I use the hosted cloud version, is there ...

Hello, I m taking over a project which depends on embedchain. However, recently the security group asked us to upgrade pypdf to 6.0.0 to avoid CVE-2025-55197, which would lead to a conflict because the ...

Hi @parshvadaftari, I wanted to give a small outline on the other PRs that are still to come from me over the next time as the merging progresses :slightly_smiling_face: Here a quick and dirty screenshot ...

We’re setting up a local instance of Mem0 to evaluate it for a production environment. So far, the core service is running fine, and we’re able to use Qdrant directly to inspect and manually edit stored ...

I’m implementing a memory layer for my application and found Mem0 as a great service for it. However, after installing and configuring it, I encountered the following error: img width= 999 height= 540 ...

Since adding memories and retrieving memories are two separate operations, I was wondering if it was possible for me to decouple the configuration used for each. I want to leverage Mem0 s ability to populate ...

embedding = OpenAIEmbeddings( ) tencent_vdb_client = TencentVectorDB( embedding=embedding, connection_params=ConnectionParams( url=VDB_URL, key=VDB_API_KEY, username= root , timeout=30 ), database_name= ...

I saw mem0 supports vector database for memory storage: https://docs.mem0.ai/components/vectordbs/overview. For example, config = { vector_store : { provider : qdrant , config ...

Hello, I’m building an AI Agent embedded in Excel. Users chat with the Agent inside Excel, and the Agent can manipulate their workbook. I’m adding a memory layer using Mem0. Right now, I can add the ...

Would you like me to add Docker support for easier setup and deployment?