Approach · Research Foundations
MAAT Framework
Multi-Agent Orchestration System
Overview
MAAT Framework is a distributed multi-agent system inspired by the Egyptian concept of Ma'at: truth, balance, order, and harmony. It remains one of the more creative projects, with substantial technical ambition, but it should not be presented as the lead showcase until the structure and public-facing explanation catch up with current standards.
MAAT has strong conceptual material: mediation, governance, distributed agent roles, custom observability, and a philosophical foundation around truth, balance, order, and harmony. Keeping it as a research foundation preserves the technical work without overstating its current public readiness.
Technical Architecture
Core System (Rust)
- gRPC microservices (diarch_kernel: port 50051)
- maat_core: Sense-decide-act agent loop
- agent_mediation: Tension analysis and conflict resolution
- observatory_agent: Emergent monitoring system
MCP Servers (Python)
- kheper: Evolution engine, development task coordination
- netjer: Governance server, security policy enforcement
Infrastructure
- PostgreSQL + TimescaleDB for state and time-series data
- Custom observability stack for system monitoring
- Policy verification and compliance system
Exploring Questions
- How do agents coordinate without central authority?
- What patterns of orchestration can be formalized and verified?
- How can alignment to principles be represented mathematically?
- What structures underpin agent memory and decision-making?
Theoretical Foundation
The system draws on mathematical structures to ground implementation decisions:
Graph Theory
Agent relationship networks and communication patterns
Process Calculi
π-calculus for modeling concurrent communication
Category Theory
Composable agent behaviors and transformations
Control Theory
System stability, equilibrium, feedback loops
Why This Matters
Bridges abstract mathematical thinking with concrete distributed systems. Demonstrates:
- Systems architecture and microservice design
- Protocol design (gRPC, MCP integration)
- Theoretical grounding in formal methods
- Multi-language system integration (Rust, Python)
- Data modeling for state and time-series
Development Context
Built as a research platform to explore how mathematical principles can inform practical system design. The tension-based mediation approach attempts to formalize "alignment" as something measurable and verifiable rather than aspirational.
This project represents learning through implementation—exploring theoretical computer science concepts by building systems that embody them.