Map of Augments (docs)
Docs knowledge graph (Augment Space) - not a product Augment. Distinct from runtime JETT Augments 00-09.
Map of Augments (docs)
A navigable documentation 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.
Start here
4We build Augments — digital extension of yourself. OPTX Auth is the who.
Human, agent, and builder doors — one screen
Install SDK, OPTX Auth It's you, first verify — no token lecture first
Solana program addresses, token mints, and wallet config
SDK Reference
4Canonical jettoptx-sdk monorepo — auth, chat, and augment registry packages
OPTX Auth package — It's you / Email, X, or wallet for custom integrations
JettChat SDK — transports, channels, and E2E messaging integration
Runtime JETT Augments 00-09 — install and names/jobs (not docs MOA)
Authentication
3OPTX Auth — Privy for DOJO, @jettoptx/auth for integrators. It's you: Email, X, or wallet.
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 — PoA DePIN 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
2JettChat access + governance token on Solana mainnet (v2 canonical)
JTX swap, Space Cowboys NFT mint, and on-chain program constants
DOJO Platform
3Developer Operator Jett Optics — IDE, augment marketplace, jettoptx.chat
iOS app — first-gaze AGT attestation issuer, AARON handshake, Privy wallet
Map of Augments (docs) / Augment Space — docs graph, not product Augment
JOE — 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
Proof-of-Attention attestation and DePIN validator staking on Solana mainnet
Reference
6Folded architecture appendix — edge to chain
Complete 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.
Docs graph labels
This page is the Map of Augments (docs) - also opened as Augment Space. Do not confuse it with the buyer product word Augment or with runtime JETT Augments 00-09.
Deep auth appendix may discuss Agentive / AGT internals. The buyer word Augment is never stolen for AGT expansions on the porch.
Crew filters may still show internal tensor tags on nodes. They are optional navigation chrome - not Start/Build teaching.
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 | OPTX 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.