metadata
title: Flood-Filling Agent Mesh (FFAM)
subtitle: Applying Brain Connectomics to Multi-Agent AI Topology
authors:
- name: Yahya Saqban
affiliation: HayulaLab
date: July 2026
tags:
- connectomics
- multi-agent-systems
- graph-theory
- flood-filling-networks
- agent-mesh
- synthetic-graphs
license: apache-2.0
Flood-Filling Agent Mesh (FFAM)
Applying Brain Connectomics to Multi-Agent AI Topology
Inspired by Google Research's Neural Mapping project (Flood-Filling Networks, SegCLR, MoGen), FFAM maps multi-agent communication networks the same way neuroscientists map neural circuits.
Features
- 🧠 Agent Connectome Builder — Real-time graph of all agent communications
- 🔍 Hub Detection — Find the most connected agents
- ⚠️ Bottleneck Analysis — Identify single points of failure
- 🛤️ Critical Path Tracing — Most common agent chains
- 🧬 Synthetic Graph Generation — MoGen-inspired training data
Quick Start
python3 connectome.py demo
Paper
📄 paper.md — Full research paper
Links
- 📦 Gitea: https://git.hayula.xyz/y7/agent-connectome
- 🌐 Website: https://hayula.xyz