Welcome to my very first Agentic AI tool project!
As part of my journey deep-diving into this new technology, I started a hands-on experiment that evolved into a practical, working product.
It solves 3 fundamental challenges: 1⃣ Token Optimization: Significantly reduces the number of tokens sent to the AI model. 2⃣ Workspace Vector Database: Enables vector DB creation across a workspace, supporting searches across multiple file formats. 3⃣ Contextual Memory: Consolidates search results to build persistent memory for future relevant tasks.
Link to the GitHub repository is in the first comment below! : https://github.com/dangranaz/nxm-memory
If you find the idea interesting or useful, I’d truly appreciate it if you could leave a on GitHub! Feedback and suggestions are always welcome.
Welcome to my very first Agentic AI tool project! As part of my journey deep-diving into this new technology, I started a hands-on experiment that evolved into a practical, working product. It solves 3 fundamental challenges: 1⃣ Token Optimization: Significantly reduces the number of tokens sent to the AI model. 2⃣ Workspace Vector Database: Enables vector DB creation across a workspace, supporting searches across multiple file formats. 3⃣ Contextual Memory: Consolidates search results to build persistent memory for future relevant tasks. Link to the GitHub repository is in the first comment below! : https://github.com/dangranaz/nxm-memory
If you find the idea interesting or useful, I’d truly appreciate it if you could leave a on GitHub! Feedback and suggestions are always welcome.