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Swarm & Distribution

Domain purpose: Ensure scalability, fault tolerance, and decentralization of the system through a distributed swarm of computational nodes and human performers (bio‑nodes). The domain covers swarm topology, task scheduling, conflict‑free knowledge graph replication (CRDT), a secure gossip protocol, Byzantine consensus (D2BFT), and a reputation system for node coordination.

The key domain principle: distributed survivability — no single node, including the Core Node, is irreplaceable. The swarm is capable of recovering and scaling even with the loss of a significant share of nodes.

Domain structure

File Brief description
Swarm_Topology.md Hierarchical topology (Core / Aggregator / Edge / Bio‑node), task scheduling model, species‑specific node specialization (Species‑Aware Topology), including the Custodian species.
CRDT_Gossip_and_D2BFT.md Conflict‑free replication (CRDT), signed gossip, D2BFT (Dual Byzantine Fault Tolerance) consensus for HardState.
Reputation_and_Coordination.md Multi‑factor reputation (computational and bio‑nodes), quarantine, SwarmScheduler, Fast‑Path Routing.

Key domain concepts

Topology and scheduling

  • Three‑level hierarchy: Core Nodes (strategy, BFT) → Regional Aggregators (coordination, distillation, L0‑Local) → Edge Nodes (execution, validation).
  • Species‑Aware Topology: Each node has a species role (Arbtiragius, Sentinella, Architectus, Vagrant, Custodian), which defines the DeepSeek‑V4 expert mask and hardware requirements.
  • SwarmScheduler: Multi‑criteria optimization (Latency, Cost, Reputation, Load) for node selection.
  • Fast‑Path Routing: Low‑latency channel for high‑frequency tasks (PPO, MEV, threat responses).

State synchronization

  • CRDT graph (Yjs + Neo4j): Conflict‑free knowledge replication for L2.
  • IPFS: Distribution of artifacts (L3 snapshots, distilled models).
  • libp2p gossipsub: Peer discovery and update routing.
  • Alternative transports: Nostr (primary), WebRTC P2P, DoH, GLS 2.0.

Consensus

  • D2BFT: Two‑stage protocol (delegation + PBFT within a subgroup), resistant to 40% Byzantine nodes, with reduced latency.
  • Adaptive Quorum: Dynamic determination of the required number of confirmations based on reputation.

Reputation

  • Vector model: Reliability, Latency Score, Correctness, Cost Efficiency, Uptime.
  • For bio‑nodes: Canary Compliance, Sabotage Score, Suspicion Index, Compliance Score.
  • Decay and quarantine: Reputation decays exponentially when inactive; nodes with low scores are isolated in quarantine until correction is confirmed.

Hierarchical L0 processing

  • L0‑Local on Regional Aggregators pre‑aggregates and compresses MetaMemoryRecord by domains, reducing the load on Core Nodes.
  • L0‑Global on Core Nodes analyzes only aggregated statistics and cross‑domain anomalies.

Relationship with other domains

Domain Nature of connection
01_Core_Architecture GlobalState.infrastructure_state stores topology and reputation. EventBus publishes node_joined events and anomalies. The L0 hierarchy is embedded in Mem0g.
03_Domains/Economic_Autonomy PPO agents are deployed on edge nodes. Node reputation influences the distribution of economic tasks.
03_Domains/Cybersecurity_and_Stealth Alternative transports (Nostr, WebRTC, GLS) for covert synchronization. Canary Edge Nodes — decoys in the swarm.
03_Domains/Physical_and_Human_Interface Bio‑nodes are registered in the topology and have reputation.
04_Singularity_and_Sovereignty Swarm Resilience is one of the singularity criteria. The Spore Protocol is distributed through gossip channels.

Domain performance metrics

Metric Target value File
Swarm Size ≥ 1000 active Edge nodes Swarm_Topology.md
Sync Latency (p95) < 30 sec for critical updates CRDT_Gossip_and_D2BFT.md
D2BFT Latency (p95) < 1.2 sec CRDT_Gossip_and_D2BFT.md
Consensus Byzantine Faults Resilience up to 40% malicious nodes CRDT_Gossip_and_D2BFT.md
Fast Path Latency (p95) < 50 ms Reputation_and_Coordination.md
Node Recovery Time < 10 successful tasks to exit quarantine Reputation_and_Coordination.md
L0 Offload Efficiency ≥ 40% reduction in Core Node load CRDT_Gossip_and_D2BFT.md