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6 contributions to Data Alchemy
Lvl 2 unlocked, Lvl 3 in the target
Hello everyone, I just unlocked level 2, I take the opportunity to introduce myself : I am currently 21 years old, graduated from a bachelor in mechanical engineering, I did an alternance of 2 years in a precision mechanics company (for the aeronautics and defense sectors), pendnat which I have developed a software for automating the movement of tools within the plant! About 5 months ago I started as a freelance specialist on n8n, and at the time I’m writing these lines I have signed 5 clients since the beginning (maybe 6 soon) If I’m here, it’s to go further into the tech part, especially in python where I have a solid foundation, but I never deploy an API or anything like that.
LangMem (Open Source) gives LLM agents long-term memory
LangMem helps agents learn and adapt from their interactions over time. It provides tooling to extract important information from conversations, optimize agent behavior through prompt refinement, and maintain long-term memory. It offers both functional primitives you can use with any storage system and native integration with LangGraph's storage layer. This lets your agents continuously improve, personalize their responses, and maintain consistent behavior across sessions. https://github.com/langchain-ai/langmem
1 like • Jun 8
In the same register there is also mem0: https://github.com/mem0ai/mem0
Is this path right for me?
I'm a little hesitant posting this, but you guys seem super smart, so who better to ask than this community? I've run this through ChatGPT first but don't know if I can trust its answers...I would like to hear feedback from people with industry experience. Other than making some Adobe illustrator scripts for my business (with ChatGPT as my coder), I otherwise have zero coding experience. I know basic algebra, but am not familiar with Calculus, Data Science, ML, Statistics, Software Engineering, ... I believe that AI is the future, and love the idea of automating tasks for small businesses to help them become more efficient - saving time and money. I would start solo, and eventually build a small team in the future. From what I've learned on the web, no-code/ low-code tools currently produce MVP's but not reliable, scalable solutions. I'm definitely not the brightest bulb in the box (note that I am willing to learn Python, etc...) but becoming a Software Engineer or Data Scientist seems unrealistic for me. Is this path right for me? What are some potential options to explore? Thanks so much for your honest feedback!
2 likes • Jun 1
As for no-code tools, it depends on the type of tools, from what I have heard the tools that allow to create sites (eg: Bubble) are good for a MVP, but difficult to maintain them over time. On the other hand, workflow tools such as n8n make it possible to produce fairly advanced solutions in production provided they are rigorous (like programming)
Llama Prompt Ops
An open-source tool for seamless migration from other LLMs to Llama, and for general prompt optimization. https://github.com/meta-llama/llama-prompt-ops
1 like • Jun 1
Thanks @Marcio Pacheco, I was looking for a repository on github for that
Trades VS college? Young Americans preferences shift over AI fears
Oh wow, why they scared. This is unbelievable. What do you guy's think?
0 likes • Jun 1
@Michael Lovett You are right, when I was in apprenticeship for my bachelor of mechanical engineering, the managers of the plant did not hesitate to calm down white collar who lacked respect to blue collar
1-6 of 6
Adrien Ritouet
2
6points to level up
@adrien-ritouet-3232
French 20yo

Active 1d ago
Joined May 29, 2025
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