> 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/1st-report-of-april-2026.md).

# 1st Report Of April 2026

### Mainnet Performance

* Validator nodes: 101
* Miner nodes: 1,008
* Wallets (net change): +22

### Project Progress

#### Large Language Model Development

* Optimized Morpheus as the foundational large language model for AI Agents — 100% (Integration and debugging with the Agent Model Center remains).
* Introduced DeepSeek V3's Mixture-of-Experts (MoE) framework to improve base-model training efficiency — 100%.

#### 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).

#### 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%.
* Expanded compatible baseline models for the Agent Model Center; introduced DeepSeek V3 as one of the supported benchmarks — 100%.

            Upgraded the DeepSeek compatible model, extending the context length to 128K.

#### AI Agent (MVP)

* Released a Morpheus-based AI Agent MVP for user testing — 100%.

Brainwave Distributed Database (NeuraMATRIX)

* Launched NeuraMATRIX, the first ecosystem application; started user data collection and anonymized preprocessing — 74%.

#### Others

* Defined BioData multi-dimensional tag attributes:

```
BioData Tags
├─ Biological Tags
├─ Technical Tags
├─ Temporal Tags
├─ Quality Tags
├─ Privacy Tags
└─ Economic Tags
```

* Defined BioData provenance attributes:

```
Data Provenance
├─ Subject Info
├─ Device Info
├─ Collection Context
├─ Processing History
└─ Ownership Record
```

Designed a biological data privacy protection architecture:

* Introduced Zero-Knowledge Proofs (ZKP).
* Implemented tiered access control for privacy data.
* Implemented a user-autonomous data authorization mechanism.
* Designed an encrypted storage architecture.

Designed a decentralized storage system structure:

* Established a biological data distributed storage layer.
* Integrated IPFS / distributed databases.
* Implemented data sharding and redundancy mechanisms.
* Implemented data integrity verification.

\ <br>