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
4Core concepts and naming hierarchy for the OPTX ecosystem
Acquire JTX and enter DOJO — waitlist, staking gate, and onboarding path
End-to-end system architecture from edge to chain
Solana program addresses, token mints, and wallet config
SDK Reference
4Canonical jettoptx-sdk monorepo — auth, chat, and augment registry packages
X OAuth PKCE + Solana signMessage + Ed25519 JWT for custom integrations
JettChat SDK — transports, channels, and E2E messaging integration
JETT Augments 00–09 — runtime agent lobes, V/S/W hotkeys, and MOA topology
Authentication
3Unified auth surface — Privy for DOJO, @jettoptx/auth for integrators
AGT biometric authentication via iris tracking and gaze vectors
ERC-8004 soulbound agent wallet (roadmap)
AARON Protocol
5Asynchronous Audit RAG Optical Node — gaze attestation router and Solana bridge
Opaque gaze proof hashes for on-chain AGT attestation
Step-by-step AARON verification flow from gaze to chain
Integration guide for AARON session/verify REST API
Internal architecture of the AARON router and validator pipeline
On-Chain Bridge
3Solana-native on-chain programs — jtx_cstb_trust and jett_vault
Home chain — $JTX v2, $OPTX devnet, DePIN programs, Metaplex identity
Devnet program IDs and validation checklist for integrators
JettChat
4Encrypted AI chat — xChat Native and Phantom Mode
Privy + JTX gate for DOJO; @jettoptx/auth for custom xChat integrations
Secure-Legion stack: triple Tor .onion, post-quantum hybrid, hardware-backed keys
E2EE messaging shared by both modes — gaze cursor, offline-first, groups
Token
4JettChat access + governance token on Solana mainnet (v2 canonical)
Tier codes and JTX balance thresholds for integrators
Pointer — live pricing at astroknots.space/stake
JTX swap, Space Cowboys NFT mint, and on-chain program constants
DOJO Platform
3JOE — Jett Optics Engine
7Jett Optics Engine — primary intelligent agent in the OPTX agentic OS
SKILL.md-based tool system — procedural knowledge for real tool execution
SpacetimeDB-backed persistent memory with importance scoring
Task lifecycle management with DAG workflows and swarm decomposition
Multi-API AI gateway — Grok primary, MCP context bridge on edge
jettoptx-hermes-api v0.4 bridge — SSE, tasks, Tempo billing to Hermes v0.17 gateway
Hermes Agent v0.17 integration — native gateway, MCP, bridge split
Architecture Flows
8Architecture flow diagrams across the full OPTX stack
Task creation through completion with state transitions
Multi-agent DAG decomposition for parallel task execution
Gaze-gated authorization policies for sensitive operations
Solana-native attestation flow from AARON router to on-chain PDAs
On-chain agent identity with Metaplex NFT and ERC-8004
Finite state machine for task lifecycle management
Network topology across Jetson edge, Tailscale mesh, and cloud
Infrastructure
3HEDGEHOG MCP running on Jetson validator nodes at the edge
Cloudflare edge gateway — AARON routes + HEDGEHOG MCP at mcp.jettoptics.ai
CSTB Trust attestation and DePIN validator staking on Solana mainnet
Reference
5Complete API reference — WebSocket RPC and REST endpoints
Complete documentation index — every page classified by AGT tensor
All 16 jettoptx repos mapped to docs sections
Version history and release notes for the OPTX platform
How to edit OPTX docs — MOA registration, AGT classification, changelog
How 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.
AGT — Augmentive Gaze Tensor
The classification system behind this graph evolved through three generations:
| Generation | Name | Focus |
|---|---|---|
| v1 | Adaptive Gaze Tensor | Reactive biometric classification |
| v2 | Agentive Gaze Tensor | Agent-driven tensor inference |
| v3 | Augmentive Gaze Tensor | SDK for agentic Map of Context |
AGT v3 is the current system — an SDK that lets agents classify, navigate, and augment any knowledge graph using the three-tensor model. Every page in OPTX carries one of three tensor 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.
Two Augment Systems
Do not conflate these:
| System | Location | Maps |
|---|---|---|
| Docs MOA | This page + Augment Space overlay | Documentation pages (one node per MDX page) |
| JETT Augments 00–09 | @jettoptx/jett-augment-registry | Runtime agent lobes in DOJO / HEDGEHOG MCP |
Docs MOA data lives in lib/moa-registry.ts. Runtime augment topology is in the SDK.
| Digit | Runtime Augment | Related Docs |
|---|---|---|
| 01 Vision | COG gaze pipeline | Gaze Auth |
| 02 Send | EMO messaging | JettChat |
| 03 Warp | ENV MOA routing | Map of Augments |
| 04 Shield | COG security gate | JETT Auth |
| 08 Wealth | EMO token ops | Token |
| 09 Vector | ENV swarm dispatch | Orchestration |
Jett Cursor
The Jett Cursor is an AGT simplex widget — a triangular indicator that visualizes where any node sits in tensor space. Toggle it from the header to see a live readout as you interact with the graph.
| State | Behavior |
|---|---|
| Idle | Cursor rests at the simplex centroid (balanced COG/EMO/ENV) |
| Hover | Cursor animates toward the hovered node's tensor weights |
| Select | Cursor locks to the selected node's position in the simplex |
| Release | Cursor returns to the selected node (or centroid if none) |
Each node carries numeric COG, EMO, and ENV weights. The cursor position is computed as a barycentric coordinate — cog × top + emo × bottom-left + env × bottom-right — mapping tensor space directly onto the 2D triangle. The dominant vertex pulses, and the cursor color matches the strongest dimension.
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.