Map of Augments
Semantic explorer for traversing the OPTX documentation graph — cognitive cartography, AGT-classified.
Map of Augments
A navigable knowledge map of every page in the OPTX documentation. Each node is classified by its primary AGT tensor — the cognitive dimension it engages. Hover to reveal connections. Filter by tensor or search to isolate clusters.
Getting Started
3Core concepts, naming hierarchy, protocol overview
End-to-end system architecture from client to chain
Solana program addresses, token mints, wallets
Authentication
2AGT biometric auth — iris tracking, tensor classification
ERC-8004 soulbound wallet for computational identity
Protocol — AARON
5Biometric proof protocol and edge router
Gaze-derived cryptographic proofs
AARON verification flow step-by-step
Integrating AARON into client applications
Internal architecture of the AARON router
AstroJOE — Agent OS
6Intelligent agent orchestrating the OPTX ecosystem
SKILL.md format, progressive disclosure, augments
SpacetimeDB memory — tables, reducers, API
Task lifecycle, DAG swarm coordination
Multi-API AI gateway on edge hardware
Hermes OPTX API endpoints and configuration
Architecture Flows
8Mermaid diagrams for every major system flow
Happy path: task creation to completion
Multi-agent DAG decomposition
Gaze-gated task authorization flow
XRPL → Wormhole → Solana pipeline
Identity sources → on-chain registration
State machine: Discovered → Completed/Failed
Full network map of all OPTX services
Infrastructure
2On-Chain Bridge
4Multi-chain bridge hub — OPTX to EVM, XRPL, LayerZero
Home chain — $OPTX, $JTX, $CSTB, Metaplex identity
Cross-chain $OPTX bridging to ETH, Base, ARB, POLY
XRPL pipeline — USDC, TraderJoe Swarm, xSPECTAR NFTs
Reference
2WebSocket RPC, REST endpoints, capabilities
Complete documentation index with AGT classification
DOJO
3How to Read This
The MOA is organized by conceptual domain. Each section is a cluster in the documentation graph, and each entry is a traversable node. The small number on the right is the edge count — how many other pages this node connects to. Denser nodes are more central to the system.
Hover any node to see its immediate connections light up across all sections. The links row shows which pages reference each other — these are the edges of the knowledge graph, rendered as traversable text instead of drawn lines.
Tensor Classification
Every page carries one of three AGT tags:
- COG — Cognitive. Analytical pages that require sustained reasoning: architecture, protocol internals, reference material.
- EMO — Emotional. Relational pages about identity, personality, agent interaction, human-facing systems.
- ENV — Environmental. Spatial pages mapping networks, infrastructure, addresses, physical topology.
Use the tensor filter in the sidebar to isolate one dimension and see which pages belong to it. The distribution reveals the shape of the system — ENV-heavy means infrastructure-dense, COG-heavy means architecturally complex, EMO-heavy means agent-facing.
Jett Cursor
Right now you scan this with a mouse. The Jett Cursor replaces pointer input with gaze. Using the AGT tensor system and AARON iris tracking, the DOJO maps your eye movements to interaction:
| Input | Mouse | Jett Cursor |
|---|---|---|
| Scan | Scroll / mouse move | ENV tensor sweep |
| Focus | Hover | COG fixation dwell |
| Select | Click | Sustained dwell (500ms) |
| Engage | Click + hold | EMO activation lock |
The three tensors map to three interaction modes. COG for deliberate selection, EMO for engagement and persistence, ENV for spatial exploration.
Inspiration
Built on the arscontexta methodology — interactive knowledge graphs from conversation context. The OPTX adaptation treats documentation pages as knowledge nodes, cross-references as semantic edges, and AGT tensors as the cognitive navigation layer.