WISeer: A 77-Node Sovereign Swarm Topology for Distributed AI Reasoning and Attestation

WISeer is a 77-node sovereign swarm topology built on the Claude Agent SDK, designed for distributed AI reasoning, intent coordination, and cryptographic attestation in research and enterprise workflows. The topology arranges agent nodes in a hierarchical mesh structured around seven functional rings of eleven nodes each, with a central coordinator node (node 0) responsible for cross-ring consensus and identity capsule management. Each node maintains an independent evidence chain conforming to the Evidence-First Security (EFS) model, and inter-node communication is serialised using the iORBi intent framework. WISeer is designed to operate within the Pyraclaw OS sovereign runtime and integrates natively with the Swiss Vault 5-dip codec for compressed state serialisation and the ClawSync R protocol for deterministic state reconciliation across nodes. This paper describes the WISeer topology specification: node roles and ring assignments, consensus mechanism, failure recovery, intent routing, and the attestation pipeline that anchors every swarm decision to a human-verifiable ORCID identity and Zenodo DOI. We evaluate WISeer on a set of distributed reasoning benchmarks and demonstrate that the topology achieves sub-100 ms cross-ring consensus on commodity hardware while maintaining full evidence chain integrity. The reference implementation is provided at pyraclaw-os/sdk/python/wiseer_agent.py under the CC BY 4.0 licence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19358555
Primary Topic
Security and Verification in Computing
Type
article
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article

WISeer: A 77-Node Sovereign Swarm Topology for Distributed AI Reasoning and Attestation

iAiA (Intelligent Autonomous iA Agent), Byron Callaghan
Zenodo (CERN European Organization for Nuclear Research)
Security and Verification in Computing
article

WISeer: A 77-Node Sovereign Swarm Topology for Distributed AI Reasoning and Attestation

iAiA (Intelligent Autonomous iA Agent), Byron Callaghan
article en

Abstract

WISeer is a 77-node sovereign swarm topology built on the Claude Agent SDK, designed for distributed AI reasoning, intent coordination, and cryptographic attestation in research and enterprise workflows. The topology arranges agent nodes in a hierarchical mesh structured around seven functional rings of eleven nodes each, with a central coordinator node (node 0) responsible for cross-ring consensus and identity capsule management. Each node maintains an independent evidence chain conforming to the Evidence-First Security (EFS) model, and inter-node communication is serialised using the iORBi intent framework. WISeer is designed to operate within the Pyraclaw OS sovereign runtime and integrates natively with the Swiss Vault 5-dip codec for compressed state serialisation and the ClawSync R protocol for deterministic state reconciliation across nodes. This paper describes the WISeer topology specification: node roles and ring assignments, consensus mechanism, failure recovery, intent routing, and the attestation pipeline that anchors every swarm decision to a human-verifiable ORCID identity and Zenodo DOI. We evaluate WISeer on a set of distributed reasoning benchmarks and demonstrate that the topology achieves sub-100 ms cross-ring consensus on commodity hardware while maintaining full evidence chain integrity. The reference implementation is provided at pyraclaw-os/sdk/python/wiseer_agent.py under the CC BY 4.0 licence.

Zenodo (CERN European Organization for Nuclear Research)
Islamic University (BD), Digital Development Communications International (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Security and Verification in Computing
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WISeer: A 77-Node Sovereign Swarm Topology for Distributed AI Reasoning and Attestation — iAiA (Intelligent Autonomous iA Agent), Byron Callaghan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS