---
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
```bash
python3 connectome.py demo
```

## Paper
📄 [paper.md](./paper.md) — Full research paper

## Links
- 📦 Gitea: https://git.hayula.xyz/y7/agent-connectome
- 🌐 Website: https://hayula.xyz