The Agentic Swarm Visual Documentation Package¶

Complete Implementation Guide and File Inventory¶

Version: 1.0.0
Release Date: October 15, 2025
Maintainer: Tristan J. Jessup (tristan@mindlink.dev)

Package Overview¶

This package provides publication-ready visual documentation for "The Agentic Swarm" theoretical document and the agisa_sac cloud-native implementation. All materials are designed for academic publication, open-source distribution, and production deployment.

Core Value Propositions¶

✅ Publication-Ready: All figures meet academic standards (300 DPI, proper citations, accessibility)
✅ Theory-Implementation Bridge: Connects abstract consciousness research to working code
✅ Accessibility Compliant: Comprehensive alt-text, WCAG 2.1 AA color contrast
✅ Automated Pipeline: GitHub Actions CI/CD for rendering and validation
✅ Open Source: MIT License, full attribution guidance included

File Inventory¶

Primary Documentation (3 files)¶

Alt-Text Descriptions (7 files, ~42KB total)¶

Each file follows a consistent structure: 1. Visual structure description (spatial layout, shapes, connections) 2. Data interpretation (what visual elements represent) 3. Connection to document theory (links to specific sections) 4. Application to agisa_sac (how concept manifests in code) 5. Technical notes (rendering details, accessibility considerations)

Enhanced Diagram Sources (4 files, ~6KB total)¶

Upgraded versions of Mermaid diagrams with comprehensive styling:

Key Features¶

1. Comprehensive Styling System¶

Consistent Color Palette Across All Diagrams: - Infrastructure/Communication: #1c7ed6 (blue) - Pub/Sub, networking - Memory/Identity: #e8590c (orange) - Firestore, persistent state - Consciousness/Emergence: #d63384 (pink) - Meta-cognitive properties - Attention/Priority: #2f9e44 (green) - Cloud Tasks, queuing - Safety/Warning: #f08c00 (yellow) - Risk indicators

Accessibility Standards: - Text-to-background contrast: >4.5:1 (WCAG 2.1 AA) - Graphical element contrast: >3:1 - Color never sole differentiator (shapes + patterns + labels)

2. Theory-Code Integration¶

Consciousness Framework Mappings:

agisa_sac Code References:

3. Academic Publication Support¶

Citation Formats Provided: - APA 7th edition (in-text + reference list) - Chicago 17th edition (notes-bibliography) - MLA 9th edition - BibTeX entries for all figures - DOI registration guidance (Zenodo, figshare, OSF)

Journal-Ready Specifications: - Single-column width: 3.5 inches (1050px @ 300 DPI) - Double-column width: 7 inches (2100px @ 300 DPI) - Vector format (SVG) maintains quality at any scale - Raster fallback (PNG @ 200 DPI) for presentations

4. Automated Rendering Pipeline¶

GitHub Actions Workflow (from diagram-build.yml):

Triggers: Push to docs/figs/src/**, workflow file changes
Steps:
  1. Install Node.js 20
  2. Install mermaid-cli (npm global)
  3. Render Mermaid diagrams (.mmd → .svg)
  4. Install Graphviz (apt-get)
  5. Render Graphviz diagrams (.dot → .svg)
  6. Install Python 3.11
  7. Install matplotlib
  8. Execute Python figure scripts (.py → .svg + .png)
  9. Upload SVG artifacts for CI review

Local Rendering Commands:

# Mermaid
mmdc -i source.mmd -o output.svg -w 1200 -s 2

# Graphviz
dot -Tsvg source.dot -o output.svg -Gdpi=300

# Python
python figure1_persistence.py  # outputs to svg/ and png/

Usage Scenarios¶

Scenario 1: Academic Paper Submission¶

Objective: Embed figures in LaTeX manuscript for arXiv/journal submission

Steps: 1. Copy desired .svg files from rendered outputs 2. Include in LaTeX with \includegraphics 3. Use caption text from captions.yaml 4. Cite using formats from CITATION_GUIDE.md (BibTeX recommended) 5. Include alt-text descriptions in supplementary materials

Example LaTeX:

\begin{figure}[ht]
  \centering
  \includegraphics[width=0.8\textwidth]{figure3.svg}
  \caption{Pub/Sub topics as global workspace enabling emergent coordination.}
  \label{fig:network}
\end{figure}

Scenario 2: GitHub Repository Integration¶

Objective: Add visuals to agisa_sac README and documentation

Steps: 1. Copy all files maintaining directory structure 2. Update main README with figure embeds 3. Link to FIGURE_CATALOG.md for comprehensive documentation 4. Add diagram-build.yml to .github/workflows/ 5. Commit and verify CI/CD runs successfully

Example README Markdown:

## Architecture Overview

![System Architecture](docs/figs/svg/figure3.svg)

*Figure 3*: Event-driven architecture with Pub/Sub global workspace. 
[Detailed description](docs/figs/alt/fig03_network_alt.md)

Scenario 3: Conference Presentation¶

Objective: Create slides with high-quality visuals

Steps: 1. Use .png exports from docs/figs/png/ (better compatibility) 2. For live demos, use figure7_dashboard.jsx React component 3. Cite figures on each slide with short form: (Jessup, 2025, Fig. N) 4. Provide GitHub repo link for audience to access full documentation

Slide Template:

[Image: figure3.png]

Decentralized Agent Coordination
• Pub/Sub topics = Global Workspace
• Emergent coordination without central control
• Implements consciousness theories at scale

Source: Jessup (2025), github.com/topstolenname/agisa_sac

Scenario 4: Web Documentation Site¶

Objective: Build Hugo/Jekyll static site with interactive diagrams

Steps: 1. Copy .svg files to static/ or assets/ directory 2. Use Mermaid source code for native rendering (if supported) 3. Embed figure7_dashboard.jsx in React components 4. Link alt-text files for accessibility compliance 5. Use metadata from captions.yaml for figure indexes

Hugo Shortcode Example:

{{< figure src="/figs/svg/figure3.svg" 
           alt="Decentralized Agent Network" 
           caption="Figure 3: Pub/Sub Global Workspace"
           link="figs/alt/fig03_network_alt.md" >}}

Integration Checklist¶

For New Repository Setup¶

• [ ] Create directory structure: docs/figs/{src,svg,png,alt}
• [ ] Copy all .md documentation files to docs/
• [ ] Copy diagram sources to docs/figs/src/
• [ ] Copy alt-text files to docs/figs/alt/
• [ ] Copy diagram-build.yml to .github/workflows/
• [ ] Install local rendering tools (mermaid-cli, graphviz)
• [ ] Test render pipeline locally before committing
• [ ] Verify CI/CD workflow runs successfully on GitHub
• [ ] Update main README with figure embeds
• [ ] Add badge to README: ![Diagrams](https://github.com/.../workflows/Build%20Diagrams/badge.svg)

For Academic Publication¶

• [ ] Select figures relevant to manuscript
• [ ] Export at journal-required DPI (typically 300)
• [ ] Include captions from captions.yaml
• [ ] Add citations using CITATION_GUIDE.md formats
• [ ] Submit alt-text as supplementary materials
• [ ] Verify color contrast for print reproduction
• [ ] Request DOI if figures published separately (Zenodo)

For Production Deployment¶

• [ ] Integrate figure7_dashboard.jsx into monitoring stack
• [ ] Connect dashboard to real telemetry sources (Pub/Sub, Firestore)
• [ ] Set up alerting for anomalous consciousness metrics
• [ ] Document dashboard data schema for ops team
• [ ] Create runbook for interpreting metric trends
• [ ] Schedule periodic TDA analysis (Figures 1-2) on production data

Troubleshooting Matrix¶

Version History¶

v1.0.0 (October 15, 2025) - Initial Release¶

Figures Included: - Figure 1: Persistence Diagram (TDA) - Figure 2: Mapper Graph (TDA) - Figure 3: Decentralized Agent Network (Architecture) - Figure 4: Instrumental Convergence (Safety) - Figure 5: Identity Layer Stack (Identity) - Figure 6: agisa_sac Workflow (Implementation) - Figure 7: Consciousness Metrics Dashboard (Observability)

Documentation Completeness: - ✅ 7 comprehensive alt-text descriptions - ✅ Full citation guide (APA, Chicago, MLA, BibTeX) - ✅ Figure catalog with metadata - ✅ Implementation README - ✅ 4 enhanced diagram sources - ✅ Automated CI/CD pipeline

Quality Standards Met: - ✅ WCAG 2.1 AA accessibility - ✅ 300 DPI publication quality - ✅ Consistent color scheme - ✅ Theory-code integration - ✅ MIT License attribution

Planned Future Releases¶

v1.1.0 (TBD): - Add temporal evolution heatmaps - Interactive network graph explorer - Extended dashboard with real-time TDA

v2.0.0 (TBD): - Major restructure with multi-view diagrams - 3D topology visualizations - Augmented reality overlays

Contact and Support¶

Primary Maintainer
Tristan J. Jessup
Email: tristan@mindlink.dev
GitHub: @topstolenname

Repository
https://github.com/topstolenname/agisa_sac

Issues and Questions
https://github.com/topstolenname/agisa_sac/issues

Contributing
See repository CONTRIBUTING.md for collaboration guidelines

Commercial Licensing
For attribution waiver or additional permissions beyond MIT License, contact maintainer directly.

License¶

MIT License

Copyright (c) 2025 Tristan J. Jessup

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Acknowledgments¶

Theoretical Foundations: - "The Agentic Swarm: Emergence, Ethics, and Identity in Next-Generation Artificial Intelligence" (primary document) - "The Conscious Machine" whitepaper (co-authored) - Integrated Information Theory (Tononi, Oizumi, Albantakis) - Global Workspace Theory (Baars, Dehaene, Mashour) - Persistent Homology (Edelsbrunner, Letscher, Zomorodian)

Visual Design Inspiration: - Neuroscience EEG dashboards (Figure 7) - TDA visualization best practices (Figures 1-2) - Google Cloud architecture diagrams (Figures 3, 6) - Safety research frameworks (Figure 4)

Software Stack: - Mermaid.js for flowchart rendering - Graphviz for network topology - Matplotlib for scientific plotting - Recharts for interactive dashboards - GitHub Actions for CI/CD

Getting Started: 3-Minute Quick Start¶

# 1. Copy package to your repository
git clone <this-package-url> /tmp/agentic-swarm-visuals
cp -r /tmp/agentic-swarm-visuals/* your-repo/docs/

# 2. Install rendering tools
npm install -g @mermaid-js/mermaid-cli
sudo apt-get install graphviz  # or: brew install graphviz
pip install matplotlib

# 3. Render a diagram locally
cd your-repo/docs/figs/src
mmdc -i figure3_network_enhanced.mmd -o ../svg/figure3.svg -w 1200 -s 2

# 4. View result
open ../svg/figure3.svg  # macOS
xdg-open ../svg/figure3.svg  # Linux

# 5. Embed in your README
echo '![Architecture](docs/figs/svg/figure3.svg)' >> ../../README.md

# Done! Your repo now has publication-ready visuals.

Package Summary Version: 1.0.0
Generated: October 15, 2025
Maintainer: Tristan J. Jessup