25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
# PromethAI-Memory
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Memory management for the AI Applications and AI Agents
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## The Motivation
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Browsing the database of theresanaiforthat.com, we can observe around [7000 new, mostly semi-finished projects](https://theresanaiforthat.com/) in the field of applied AI, whose development is fueled by new improvements in foundation models and open-source community contributions.
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It seems it has never been easier to create a startup, build an app, and go to market… and fail.
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AI apps currently being pushed out still mostly feel and perform like demos.
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To address this issue, [dlthub](https://dlthub.com/) and [prometh.ai](http://prometh.ai/) will collaborate on a productionizing a common use-case, progressing step by step. We will utilize the LLMs, frameworks, and services, refining the code until we attain a clearer understanding of what a modern LLM architecture stack might entail.
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### Read more on our blog post [prometh.ai](http://prometh.ai/promethai-memory-blog-post-one)
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# PromethAI-Memory Repo Structure
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The repository contains a set of folders that represent the steps in the evolution of the modern data stack from POC to production
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- Level 1 - CMD script to process PDFs
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- Level 2 - Memory Manager implemented in Python
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