> For the complete documentation index, see [llms.txt](https://docs.matrix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.matrix.io/bi-weekly-reports/2nd-report-of-november-2025.md).

# 2nd Report Of November 2025

### Mainnet Performance

Validator nodes: 104

Miner nodes: 1,026

Wallets (net change): +77

### Project Progress

#### 1.    Large Language Model Development

* Optimized Morpheus as the foundational large language model for AI Agents — 97% (remaining: integration and debugging with the Agent Model Center).
* Introduced DeepSeek V3's Mixture-of-Experts (MoE) framework to improve base-model training efficiency — 96%.

#### 2.    Distributed Privacy Computing Support

* Extended the MANTA compute system to support privacy-preserving training and inference required by Agents — 0% (on hold).
* Adapted MANTA to support MoE-based training and inference for DeepSeek V3 — 0% (on hold).

#### 3.    Agent Model Center (MVP)

* Deployed the first version of the Model Center, initialized with Agent Tools from MATRIX AI, enabling users to assemble custom Agents — 100%.

1. Introduced a "role modeling mechanism" supporting the creation of Agents with specific capabilities or identities (such as strategist, executor, analyst, coordinator, etc.).
2. Added a reinforcement learning simulation environment to construct multi-agent scenarios.

* Expanded compatible baseline models for the Agent Model Center; introduced DeepSeek V3 as one of the supported benchmarks — 93%.

1. Optimized vector data compatibility between DeepSeek and Morpheus.

#### 4.    AI Agent (MVP)

* Released a Morpheus-based AI Agent MVP for user testing — 98%.

#### 5.    Brainwave Distributed Database (NeuraMATRIX)

* Launched NeuraMATRIX, the first ecosystem application; started user data collection and anonymized preprocessing — 57%.

#### 6.    Others

* Extended MetaTron's algorithmic data compatibility to enable co-dimensional modeling with other biological data.
* Contacted over 30 potential partner institutions for intelligent contract collaboration.

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