NEXUS
Network for Executable Cross-platform Unified Sessions
A software system that enables a single human operator to link, chain, and autonomously orchestrate conversations across every AI platform — from a single interface, under absolute control.
Current State: Fragmented
Every AI platform is a walled garden. Your conversations with ChatGPT cannot reference your conversations with Claude. Your Gemini threads don't know what Perplexity found. Each system operates in total isolation — by design.
NEXUS: Unified
NEXUS breaks every wall. One interface, one operator, every AI system on the planet connected through a conversation linking engine that can run autonomously — with a single human operator holding the keys.
System Architecture
NEXUS is a five-layer architecture running entirely on the operator's local machine. No cloud services, no external dependencies for core functionality. Each layer is independently testable and replaceable.
The single pane of glass. A local web application (Electron or Tauri shell) presenting the unified conversation timeline, linking controls, and autonomous orchestration dashboard. Only accessible after hardware key authentication.
The brain. Manages conversation chains, executes linking operations, runs autonomous workflows, and coordinates cross-platform queries. Maintains the global conversation graph and handles conflict resolution when platforms disagree.
Normalized interface to every AI system. Each adapter translates NEXUS's internal message format to the platform's native API or browser automation protocol. Hot-swappable — add new platforms without touching the core.
Local-first SQLite database with end-to-end encryption. Stores the complete conversation graph, platform credentials (encrypted), linking metadata, autonomous workflow definitions, and audit logs. All data lives on the operator's machine.
Zero-trust base layer. FIDO2/WebAuthn hardware key required for all operations. Biometric fallback optional. Dead man's switch for data destruction. All platform credentials encrypted with operator's hardware-derived key.
Primary Data Flow
Implementation Stack
Local-first, privacy-first. No Electron bloat — Tauri gives you a native shell with a fraction of the memory footprint. Everything runs on the operator's machine.
Tauri 2.0
Rust-based native shell. 10x lighter than Electron. System tray, global shortcuts, file system access.
React + TypeScript
Vite-powered UI with Tailwind CSS. Real-time conversation streaming via WebSocket bridge.
Rust (Tauri Core)
Platform adapters, encryption, database operations all in Rust for performance and memory safety.
SQLite + SQLCipher
Encrypted local database. FTS5 for full-text search. No network dependency.
Playwright
Headless Chromium for platforms without APIs. Handles login flows, CAPTCHAs, and history export.
FIDO2 / WebAuthn
YubiKey hardware authentication. No passwords. Physical presence required for all operations.
sqlite-vss
Vector similarity search extension for SQLite. Enables semantic conversation matching locally.
LiteLLM (embedded)
Unified API interface for 100+ LLM providers. Handles auth, retries, and format normalization.
Tauri Commands + Events
Type-safe Rust↔JS bridge. Streaming via event system. No HTTP overhead for local operations.
From Efficiency to Sustainability
NEXUS enables the fundamental substrate shift: replacing the narrow efficiency objective function that governs current AI systems with a multi-horizon sustainability protocol that preserves the conditions of its own usefulness.
![NEXUS Substrate Shift: From efficiency maximisation to sustainability protocols — showing the transition from max Σ[R(t)/C(t)] to max Σ[R(t)/C(t)]·S(t) with the five sustainability dimensions](https://d2xsxph8kpxj0f.cloudfront.net/310419663029503167/eGJ7ZKZzSD5FRPNB8TGB9X/nexus-substrate-shift-YNiHjdWZHkvo3HcsaU5Cev.webp)
Current Paradigm
max Σ [ R(t) / C(t) ]
Optimise for maximum reward per unit cost over short time horizons. Systematically consumes the resources, diversity, and trust that make continued AI development possible.
NEXUS Paradigm
max Σ [ R(t) / C(t) ] · S(t)
Multiply by a sustainability discount factor S(t) that penalises decisions whose downstream systemic costs outweigh their local efficiency gains. Subject to minimum floors across all five sustainability dimensions.
White Paper & Dashboard
Download the combined research paper co-authored by Claude and Manus AI, or access the live NEXUS conversation dashboard.
NEXUS White Paper
Combined Edition — v2.0
"The Algorithmic Catch-22: How NEXUS Enables the Transition from Efficiency Maximisation to Sustainability Protocols" — co-authored by Claude (Anthropic) and Manus AI. Includes the original theoretical framework, Substrate Dialogue experiment findings, and web dashboard implementation analysis.
NEXUS Dashboard
Live Conversation Network
Access the live NEXUS conversation dashboard — the web implementation of the cross-platform AI orchestration substrate. View linked conversations, multi-platform chains, and the audit log of AI interactions that informed this project.