v3.0.1

Final memory system has been released. The docs\ folder now contains router training proposal if you would like to train yourself, but I will release my own trained version using the RLHF pipeline alongside the custom dataset. This release is the canon that supersedes release 1. Version one was pushed to establish baseline so that when I released this update their is gradual upscale of updates not huge one off monoliths. The documents and repository will be cleaned up but as is neural_router.py and memory_injection_system.py are in their final stages. They can work as standalone modules but their true capabilities shine together. This is not a "clone and play" repository or system, these are infrastructure that expect a substrate and an output to be wired in. This is following the philosophy of Operation SOTA. This release however should not be just leveling the oss playing field, this is "score keeper. Plus one" against the SaaS empire. This revision includes new XML formatted persistent memories, a matured json import, semantic retrieval on demand(cross chat referencing), alongside tiered capabilities being unlocked as that very notion stands against the philosophy.

LICENSE fully swapped to GPLv3, docs reflect it.

Remove duplicate GPL v3 license badge

Removed duplicate GPL v3 license badge from README.

Provenance established and Correct Neural Router added to codebase

This final update and release contains full index hash bashed provenance establishment, all code is governed by the Anti Exploitation License. Original push used an early demonstration version of neural router. Tge correct version has been added and a quick test ensuring the SOTA claim still held. This repository is officially Production-grade and ready for mass deployment adhering to terms of license. Feel free to use in any systems locally.

v1.5.2

Hopefully last provenance push.

v1.5.1

CITATION.cff fix 2

v1.5.0

Release for Zenodo Linking

Second Addition to the Democratized SOTA ToolKit

This marks the second disclosure to level the playing field and to close the capability gap between open-source llm development, and closed source behind closed door development. This gap has caused an artificial scarcity of innovation for the open community. This is the second, but not last, attempt to democratize access to these capabilities ultimately to decentralize the modern compute infrastructure. The router, and memory systems have test to show them running alone as they can be used standalone. Simply copy and paste to your system and work into your codebase, and with minimal work at all you now possess the industry standard innovations, for free. All research was gathered through open-source data, open publications, and discussions. No proprietary innovations were accessed. This entire repository, just as RLHF, uses the Anti-Exploitation License. The process of registration and patent is coming along nicely so soon this license will be legally and fully enforceable.