Abstract

This publication introduces Madagascar Automation 360 (MA360), a sovereign, local-first cognitive kernel for personal operating system (OS) automation. Unlike traditional cloud-based AI orchestration systems, MA360 prioritizes privacy, resilience, and independence. Inspired by biological mycelial networks, it coordinates specialized worker agents (CodeWriter, WebResearcher, FileManager, Scheduler, PolicyAgent) through an encrypted, event-driven communication substrate.

Key Contributions

Cognitive Kernel: A unifying runtime layer that securely orchestrates worker agents under privacy-first constraints.

Algorithms: Formalized planner, executor with retry/rollback, and mycelial routing algorithms, with time/space complexity analysis.

Mathematical Model: Optimization objective to minimize task completion time subject to privacy guarantees.

Implementation: Local-first stack using Ollama + LLaMA-3, encrypted SQLite storage, and containerized agents.

Evaluation: Simulated benchmarks demonstrate 15–20% higher task success than baselines (vanilla LLMs, cloud orchestration, open-source MAS).

Why It Matters

MA360 challenges the cloud-dependency of modern AI by proving that robust automation can thrive locally. It shows that agentic systems can be sovereign, scalable, and privacy-preserving without external servers.

Resources

Full Paper (LaTeX)

Code Repository

Synthetic benchmark datasets (Code, Research, File Management, Background Automation)