TECHNOLOGYArchitecture

How TIV thinks about technology.

Technology is a layered system. From applications people use, through software infrastructure, compute, networks, optical systems, and the physical infrastructure that underpins everything. Each layer builds on the one below.

01Stack

Technology layers.

TIV organizes technology into six layers. Each layer depends on the layers below it. This model guides how TIV builds and where it invests research.

ApplicationsL1 · StableSoftware SystemsL2 · DevelopingComputeL3 · ResearchNetworksL4 · ResearchOptical SystemsL5 · ResearchPhysical InfrastructureL6 · Researchdepends on ↓
02Map

TIV technology map.

How TIV's projects, infrastructure, and research connect. Select a node to explore related work.

TIVSoftwareInfrastructureResearchOpenMailMercuraM31AOctateHostingNetworkingOpticalAI SystemsFiber Systems

Select a node to see its connections and related work.

03Details

Layer by layer.

Each layer, its current state, and what it contains.

LAYER 01

Application Layer

Existing

User-facing software systems — the projects people directly interact with. These are the visible products of TIV's engineering work.

OpenMail· Stable ReleaseMercura· Stable ReleaseM31A· Stable ReleaseOctate· Stable Release
LAYER 02

Software Infrastructure

Developing

Shared software foundations — the libraries, tools, and systems that application-layer projects are built on. This layer enables reuse and consistency across projects.

Storage Engines· ResearchTLS / Certificate Management· DevelopmentAuthentication Systems· PlanningPlugin Architecture· Planning
LAYER 03

Compute

Research

Servers and computational infrastructure — the machines that run software systems. TIV researches efficient, self-managed compute architectures.

Compute Infrastructure· ResearchResource Scheduling· ResearchEdge Compute· Research
LAYER 04

Network

Research

Routing, switching, and network systems — the infrastructure that connects compute resources. TIV researches network architecture and protocols.

Networking· ResearchRouting Protocols· ResearchNetwork Management· Research
LAYER 05

Optical Systems

Research

Fiber optics and optical communication systems — the physical layer of network infrastructure. TIV researches optical transmission and experimental optical communications.

Optical Systems· ResearchFiber Optic Architecture· ResearchExperimental Optical Comms· Research
LAYER 06

Physical Infrastructure

Research

Hardware and physical infrastructure — the tangible systems that underpin all technology layers. This is where software meets the physical world.

Hardware Research· ResearchInfrastructure Equipment· Research
04Ecosystem

M31 Systems & Architecture.

How TIV's agent systems, causal language models, and interactive tools relate across our computational hierarchy.

Dedicated AI/ML Portal
ECOSYSTEM ARCHITECTURE

The M31 Engineering & Research Family

M31 encompasses autonomous developer systems, native causal language models, lightweight Python agent runtimes, and large-vocabulary pretraining checkpoints. Each project within the ecosystem maintains an independent lifecycle category, distinguishing stable operational software from experimental research checkpoints.

M31 ECOSYSTEM ROOTExplicit Topology

Relationships defined via explicit metadata, not nominal inference.

Software SystemGH
Stable Release

M31A

Rust-native autonomous software-engineering runtime

Single-crate, high-assurance Rust runtime with deterministic lifecycle control, 11-stage non-bypassable policy gates, evidence-based completion, and terminal cockpit.

Lifecycle: Production / Stable Release
AI ModelHF
Experimental

M31Genesis

Native M31 causal language model for agentic coding research

Native M31 decoder-only transformer with 425M parameters, designed for software engineering, code synthesis, and agentic workflows.

Parameters:425M-class
Lifecycle: Experimental Research Checkpoints
AI ModelHF
Experimental

M31Tesla

Standalone runtime and checkpoints for M31-Python-Agent-220M-v5

Custom 228.9M model with grouped-query attention and standalone Python runtime for code repair experiments.

Parameters:228.9M
Lifecycle: Experimental Research Runtime
AI ModelHF
Experimental

M31Entropy

Large-vocabulary architecture exploration and pretraining checkpoints

Exploration of 128,000-token vocabulary representation density in a 314M parameter causal transformer.

Parameters:314M
Lifecycle: Experimental Research Checkpoint
Space / DemoHF
Experimental

M31 Q

Interactive demonstration Space for programmers on Hugging Face

Interactive demonstration Space hosted on Hugging Face allowing researchers and developers to test M31 capabilities directly in the browser.

Lifecycle: Public Web Demonstration
Integrity Rule: Independent Lifecycle & No Fabrication

Projects sharing the M31 prefix represent discrete engineering efforts with distinct lifecycle properties. M31A is an active stable release, whereas M31Genesis, M31Tesla, and M31Entropy are experimental research artifacts. Project names do not imply external entity affiliations (e.g. M31Tesla has no association with Tesla, Inc., nor does M31Entropy imply a thermodynamic architecture).

PUBLIC TECHNICAL FOOTPRINT

TIV develops and distributes sovereign technology across verified, authoritative public registries and platforms. We do not aggregate arbitrary personal activity; all resources shown here are officially associated with TIV and its engineering lineage.

GitHub

VERIFIED

@eshanized · Source Code & Development Systems

Official code repositories, system implementations, and developer tooling developed under TIV and its founder.

Supported Resources
RepositoriesSource CodeIssue TrackingReleases
Key Public Artifacts
  • ›OpenMail
  • ›Octate
  • ›M31A
  • ›MCP-SuperAssistant

npm Registry

VERIFIED

@@tiverse · Package Distribution & CLI Binaries

Official npm packages and terminal-native developer CLI utilities published by TIV.

Supported Resources
PackagesCLI BinariesRelease Tarballs
Key Public Artifacts
  • ›@tiverse/octate

Hugging Face

VERIFIED

@eshanized · AI / ML Models & Interactive Spaces

AI/ML research models, safetensors checkpoints, tokenizer definitions, and interactive Spaces associated with TIV.

Supported Resources
ModelsSpacesCheckpointsDatasetsCollections
Key Public Artifacts
  • ›M31Genesis (425M Causal LM)
  • ›M31Tesla (228.9M Python Agent Runtime)
  • ›M31Entropy (314M Architecture Exploration)
  • ›M31 Q // For programmers (Space)

Research & Publications

VERIFIED

@TIV-RES · Academic & Technical Monographs

Whitepapers, research frameworks, technical monographs, and empirical specifications published openly.

Supported Resources
PublicationsWhitepapersFrameworksEmpirical Studies
Key Public Artifacts
  • ›TIV Infrastructure Whitepaper v1.0
  • ›Towards Autonomous Development Systems (TIV-RES-2026-001)

Official Specifications

VERIFIED

@tonmoyinfrastructure.org · Architecture & System Standards

Authoritative system documentation, API schemas, design contracts, and operational guidelines.

Supported Resources
DocumentationArchitecture SpecsAPI Reference
Key Public Artifacts
  • ›OpenMail Architecture
  • ›Mercura VCS Spec
  • ›M31 Platform Spec

Technical Footprint Governance & Classification

TIV maintains a strict boundary between official corporate/ecosystem work, founder exploratory projects, and external contributions. Hugging Face profile usernames or GitHub personal accounts are attributed transparently without conflating individual maintainership with corporate capitalization.

TIV

Official releases & core infrastructure

TIVERSE

Ecosystem projects & community tooling

FOUNDER

Exploratory research & personal tools

EXTERNAL

Upstream forks & standards compliance