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README.md
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---
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title: "Flood-Filling Agent Mesh (FFAM)"
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subtitle: "Applying Brain Connectomics to Multi-Agent AI Topology"
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authors:
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- name: "Yahya Saqban"
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affiliation: "HayulaLab"
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date: "July 2026"
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tags:
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- connectomics
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- multi-agent-systems
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- graph-theory
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- flood-filling-networks
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- agent-mesh
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- synthetic-graphs
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license: apache-2.0
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---
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# Flood-Filling Agent Mesh (FFAM)
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**Applying Brain Connectomics to Multi-Agent AI Topology**
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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.
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## Features
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- 🧠 Agent Connectome Builder — Real-time graph of all agent communications
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- 🔍 Hub Detection — Find the most connected agents
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- ⚠️ Bottleneck Analysis — Identify single points of failure
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- 🛤️ Critical Path Tracing — Most common agent chains
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- 🧬 Synthetic Graph Generation — MoGen-inspired training data
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## Quick Start
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```bash
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python3 connectome.py demo
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```
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## Paper
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📄 [paper.md](./paper.md) — Full research paper
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## Links
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- 📦 Gitea: https://git.hayula.xyz/y7/agent-connectome
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- 🌐 Website: https://hayula.xyz
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