Implementation Reference Architecture

Overview

This document bridges concept to implementation with a reference architecture — a concrete system design that realizes ANP principles. The architecture is deliberately modular: teams can adopt individual components incrementally.

System Architecture

┌──────────────────────────────────────────────────────────┐
│                    Human Interface                        │
│  (IDE extensions, CLI, web dashboard, chat interface)     │
├──────────────────────────────────────────────────────────┤
│                 Agent Orchestration Layer                  │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐   │
│  │ Task Manager  │  │ Coordination │  │ Trust Engine  │   │
│  └──────────────┘  └──────────────┘  └──────────────┘   │
├──────────────────────────────────────────────────────────┤
│                   Agent Runtime Layer                      │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌─────────┐ │
│  │ Planning │  │ Coding   │  │ Review   │  │ Testing │ │
│  │ Agent    │  │ Agent    │  │ Agent    │  │ Agent   │ │
│  └──────────┘  └──────────┘  └──────────┘  └─────────┘ │
├──────────────────────────────────────────────────────────┤
│                    Platform Services                      │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌─────────┐ │
│  │ Memory   │  │ ACI      │  │ Audit    │  │Security │ │
│  │ Service  │  │ Gateway  │  │ Service  │  │Service  │ │
│  └──────────┘  └──────────┘  └──────────┘  └─────────┘ │
├──────────────────────────────────────────────────────────┤
│                    External Systems                       │
│  (Git, CI/CD, Issue Tracker, Package Registry, Cloud)    │
└──────────────────────────────────────────────────────────┘

Core Components

Agent Runtime

Lifecycle management — Registration, initialization, execution, teardown
Isolation — Each agent runs in its own sandbox
Communication — Via ACI Gateway, not direct connections
Monitoring — Health checks, performance metrics, anomaly detection

Memory Service

Implements the three-layer memory model
Working memory per agent session
Shared semantic memory for project knowledge
Private episodic memory per agent
Query API with semantic search capabilities

ACI Gateway

Implements the four-layer ACI protocol
Routes agent requests to appropriate tools and services
Enforces capability permissions
Logs all interactions for audit

Trust Engine

Implements graduated trust model
Evaluates and updates trust scores
Grants/revokes capability tokens
Triggers human-in-the-loop when needed

Task Manager

Decomposes high-level goals into agent-assignable tasks
Implements coordination patterns
Tracks task progress and dependencies
Handles failure recovery and reassignment

Audit Service

Records every agent action with full context
Generates compliance reports
Supports forensic investigation of agent decisions
Feeds back into trust scoring

Deployment Topologies

Local Development

Single machine, single agent — the simplest entry point:

Agent running alongside IDE
Local memory storage (SQLite or filesystem)
Direct tool access (no gateway needed)

Team Development

Shared server, multiple agents:

Centralized memory and ACI services
Per-developer agent instances
Shared semantic memory, private episodic memory

Enterprise

Full multi-agent orchestration:

Distributed services with high availability
Multi-team, multi-project agent coordination
Full audit, compliance, and governance
Federated trust across organizational boundaries

Migration Strategy

The architecture supports incremental adoption:

Stage 1: Single agent with local tools (IDE copilot++)
Stage 2: Add memory service for cross-session learning
Stage 3: Add ACI gateway for structured interactions
Stage 4: Multi-agent coordination with trust engine
Stage 5: Full enterprise deployment

Key Contribution

Modular architecture enabling incremental adoption — start with a single agent and grow into multi-agent collaboration as trust and tooling mature.