// AI INFRASTRUCTURE — 2026

THRONE

Self-Evolving Multi-Agent AI Orchestration

Self-evolving multi-agent orchestration system where AI agents coordinate, compete, and improve autonomously. Genetic algorithm prompt evolution, swarm immune system, trust contagion networks, TAQL adversarial quality loops, and 50+ MCP tools. 14,000+ lines built solo.

Client InternalRole Architect & DeveloperPlatform CLI + MCP Server

Node.jsSQLitebetter-sqlite3ZodPinoMCP ProtocolHNSWOllama

14,000+Lines of Code

50+MCP Tools

99Tests

1,639Knowledge Nodes

// Architecture

How It's Built

Production orchestration framework with 7 SQLite tables, HNSW vector search, and 50+ MCP tools. Agents are scored by TAQL (adversarial quality loop), trusted via social graph propagation, and evolved through genetic algorithms. The system self-audited 26 repos autonomously — 1,918 commands, $8.37 cost, 104 actions, 13 files patched.

MCP Server

50+ tools exposed via Model Context Protocol — agent management, memory, evolution, quality, trust, democracy, arena, knowledge

MCP ProtocolHTTPstdio

MCP Server

Evolution Engine

Prompts treated as DNA. Crossover, mutation, selection to evolve higher-quality outputs. TAQL adversarial critics score outputs.

Genetic AlgorithmsFitness ScoringTAQL

Evolution Engine

Immune System

5-rule anomaly detection inspired by biological immune systems. Detects bad agents, quarantines them, replaces with fresh instances.

Anomaly DetectionQuarantineAuto-Heal

Immune System

Trust Network

Trust propagates through agent connections. Bad work decays trust across the graph. Toxic pair detection identifies harmful combinations.

Social GraphPropagationDecay

Trust Network

Memory Layer

121 memories across 7 namespaces. Knowledge graph with 1,639 nodes, 3,219 edges, 94 clusters. Temporal supersession for freshness.

SQLiteHNSW Vector SearchKnowledge Graph

Memory Layer

Coordination

Agents vote on decisions, compete in arena mode, reach consensus via configurable quorum rules.

DemocracyArenaConsensus

Coordination

// Deliverables

What Shipped

01Genetic algorithm prompt evolution — prompts improve over time

02TAQL adversarial quality loop — critic agents evaluate every output

03Swarm immune system — 5-rule anomaly detection with auto-quarantine

04Trust contagion network — social graph with propagation and decay

05Democracy module — agents vote on decisions with quorum rules

06Arena competitions — parallel agents compete, best output wins

07HNSW vector search — pure JavaScript, no external dependencies

0850+ MCP tools for full programmatic control

09Self-audit capability — analyzed 26 repos autonomously for $8.37

10Multi-model routing — Haiku 365x cheaper than Opus per learning

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