| --- |
| license: apache-2.0 |
| language: |
| - en |
| - it |
| - multilingual |
| library_name: transformers |
| pipeline_tag: question-answering |
| tags: |
| - matrix-bios |
| - rag |
| - retrieval |
| - grounded-generation |
| - citations |
| - enterprise |
| --- |
| |
| <p align="center"><b>MATRIX BIOS</b> · <b>Memory</b></p> |
| <p align="center"><i>Grounded, citation-faithful recall over your private knowledge.</i></p> |
|
|
| # Matrix-BIOS-Memory-0.1 |
|
|
| **Developer:** Agent-Matrix · **Version:** 0.1 · **Task:** grounded retrieval & |
| recall · **License:** Apache-2.0 |
|
|
| Memory is the **grounded-recall component** of the **Matrix BIOS** family. It |
| answers questions **with citations** drawn from a private corpus — so responses are |
| traceable to their sources instead of hallucinated. It is the enterprise answer to |
| the central weakness of general LLMs: **a general model cannot cite a private |
| corpus it has never seen.** |
|
|
| ## Model overview |
|
|
| - **Architecture:** retrieval-augmented generation — a semantic vector index over |
| your corpus plus a compact grounded generator. |
| - **Key property:** every answer returns the **source identifiers** it relied on |
| (citation faithfulness). |
| - **Optimised for:** on-premise / sovereign deployment over confidential corpora; |
| no data egress. |
|
|
| ## Intended use |
|
|
| **Primary use cases** |
| - Grounded question answering over an organisation's own documents, with provenance. |
| - The memory plane for governed agents that must explain *why* they answered. |
| - Trustworthy retrieval where auditability and data residency matter. |
|
|
| **Out of scope** |
| - Open-domain factual QA outside the indexed corpus. |
| - High-stakes decisions without human verification of the cited sources. |
|
|
| ## How to use |
|
|
| This package ships a semantic index, configuration, and a serving interface that |
| exposes retrieval and an OpenAI-compatible grounded-answer endpoint, ready to plug |
| into a gateway or agent runtime. Point it at your own corpus to ground answers in |
| your private knowledge. |
|
|
| ## Limitations & responsible use |
|
|
| A **v0.1 early-access** release. Answer quality depends on corpus coverage and |
| retrieval quality; always verify cited sources for consequential use. The grounded |
| generator is a compact model and may paraphrase imperfectly. |
|
|
| ## Governance |
|
|
| Memory provides **provenance-cited** recall and operates under Matrix OS |
| governance: memory writes carry source and trust metadata, and consuming actions |
| are gated and auditable. |
|
|
| ## Citing this work |
|
|
| Matrix BIOS models implement the governed-memory architecture described in our |
| paper. If you use them in research or production, please cite: |
|
|
| > Magaña Vsevolodovna, R. I. (2026). *Governed Memory: A Bio-Inspired, |
| > Governance-First Memory Architecture for Continual AI Systems* (1.0). Zenodo. |
| > https://doi.org/10.5281/zenodo.20615572 |
|
|
| ```bibtex |
| @misc{magana2026governedmemory, |
| title = {Governed Memory: A Bio-Inspired, Governance-First Memory |
| Architecture for Continual AI Systems}, |
| author = {Maga{\~n}a Vsevolodovna, Ruslan Idelfonso}, |
| year = {2026}, |
| publisher = {Zenodo}, |
| version = {1.0}, |
| doi = {10.5281/zenodo.20615572}, |
| url = {https://doi.org/10.5281/zenodo.20615572} |
| } |
| ``` |
|
|
| The concept DOI [10.5281/zenodo.20615571](https://doi.org/10.5281/zenodo.20615571) |
| always resolves to the latest version. |
|
|
| ## License & contact |
|
|
| Released under the **Apache-2.0** license. © Agent-Matrix. |
| Contact: **contact@ruslanmv.com** · https://ruslanmv.com |
|
|
