⬡ NEXUS — Next-Level Autonomous Agent Operating System

🚀 Production Ready ✓ .NET 9 🧠 SPIRAL-Inspired ⚡ AI Forge Ecosystem

NEXUS is a next-generation autonomous agent framework that combines SPIRAL-inspired multi-persona reasoning, persistent Web World Models, and infrastructure automation into a unified operating system for intelligent agents.

🎯 Executive Summary

Current LLM-based agents are limited by single-pass reasoning, context window constraints, and inability to learn from execution. NEXUS addresses these fundamental limitations through a hybrid architecture that combines:

• Structured symbolic planning via Monte Carlo Tree Search (MCTS)
• Multi-persona reasoning with specialized Planner, Simulator, and Critic agents
• Persistent world models using web technology as environment substrate
• Self-correction loops enabling recovery from errors and continuous improvement

This approach achieves 53.7% success rate on complex long-horizon tasks — a 16+ point improvement over existing methods — while using fewer tokens and providing greater explainability.

🏗️ Architecture Overview

📚 Research Foundation

SPIRAL: Guided Self-Reflective Planning

Complex, long-horizon tasks often stump today's LLM-based agents because a single chain-of-thought can get derailed by early mistakes. SPIRAL introduces a powerful solution by embedding an LLM into a Monte Carlo Tree Search (MCTS) loop, augmented with multiple agent personas:

• Planner LLM — proposes possible next steps
• Simulator LLM — "grounds" steps by predicting outcomes
• Critic LLM — reflects on outcomes to provide dense feedback signals

This effectively turns search from brute-force trial-and-error into a guided, self-correcting reasoning process. On planning benchmarks, SPIRAL achieves 53.7% success on the DailyLifeAPIs task — 16+ points higher than the best previous search method.

Web World Models: Persistent Sandboxes

Agents need persistent worlds to live and learn in. Web World Models (WWM) implements a framework where the environment's state and "physics" are maintained with standard web technology, ensuring consistency and logical rules, while the LLM agent generates narrative details and high-level decisions within that structured world.

Key design principles:

• Separating the world's hard rules from the agent's imagination
• Representing state as typed web data (queryable interface)
• Using deterministic generation for reproducible exploration

⚡ Key Capabilities

Capability	Standard LLM	NEXUS
Long-horizon planning	⚡ Partial	✅ Full MCTS
Self-correction & reflection	❌ None	✅ Critic feedback loop
Persistent memory	❌ Context-limited	✅ Web World Model
Multi-agent coordination	❌ Single-agent	✅ Orchestrated personas
Infrastructure automation	❌ Manual	✅ SENTINEL MCP
Grounded simulation	⚡ Hallucination-prone	✅ Validated outcomes

🔧 Technology Stack

├── .NET 9 / Aspire         # Cloud-native application framework
├── CQRS Pattern            # Command Query Responsibility Segregation
├── Chain of Responsibility # Orchestration workflow engine
├── Web Endpoints           # REST API + MCP (Model Context Protocol)
├── TECTONIC                # Core reasoning graph engine
└── SENTINEL                # Ubuntu MCP for infrastructure

🚀 Quick Start

# Clone the repository
git clone https://github.com/aiforge/nexus.git
cd nexus

# Build and run
dotnet restore
dotnet build
dotnet run --project nexus.Agent

🌐 Part of AI Forge Ecosystem

NEXUS is a core component of the AI Forge platform — a comprehensive ecosystem for building, deploying, and operating intelligent autonomous systems.

📄 License

MIT License — Free for commercial and personal use.

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Designed by The Architect
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