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MangoMAS — Multi-Agent Cognitive Architecture
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Analyze text with multiple cognitive agents for insights
Ian Cruickshank PRO
ianshank
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---
title: "Cognitive Cell Architecture Design"
thumbnail: https://huggingface.co/spaces/ianshank/MangoMAS/resolve/main/thumbnail.png
authors:
- ianshank
tags:
- cognitive-architecture
- multi-agent
- neural-network
- cell-architecture
- pytorch
---
# Cognitive Cell Architecture Design
**Author:** Ian Cruickshank| **Date:** February 2026
> **🧠 Try it live!** Run all 10 cognitive cells on the [MangoMAS Demo](https://huggingface.co/spaces/ianshank/MangoMAS) — select the **🧠 Cognitive Cells** tab.
## Core Idea
AI agents organized like neurons — specialized, signal-driven, composable into reasoning circuits. MangoMAS implements 10 cell types following a `preprocess → infer → postprocess → publish` lifecycle, mirroring dendritic processing, soma integration, and axonal transmission with configurable plasticity.
## The 10 Cell Types
| Cell | Purpose |
|------|---------|
| **ReasoningCell** | Rule engine + NN head |
| **MemoryCell** | Privacy-preserving preference extraction |
| **CausalCell** | Pearl's do-calculus |
| **EthicsCell** | Multi-framework safety scoring |
| **PlanningCell** | Hierarchical goal decomposition |
| **PerceptionCell** | Multi-modal input fusion |
| **LearningCell** | Online adaptation and meta-learning |
| **CommunicationCell** | Inter-agent message routing |
| **MetaCognitiveCell** | Self-monitoring and confidence calibration |
| **CreativeCell** | Divergent generation and novelty scoring |
## Pipeline Composition
Cells compose into pipelines via the event bus:
```
Perception → Reasoning → Planning → Ethics → Communication
↑ |
Memory ←── MetaCognitive ──┘
```
Each cell publishes typed outputs that downstream cells consume, enabling complex cognitive workflows from simple, testable units.
https://huggingface.co/spaces/ianshank/MangoMAS updated
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