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Method 1: Web Visualizer (Recommended)
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Option 1: Web Visualizer (Quick Exploration)
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Recommended: Configure Persistent Location
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Memory File Format
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Workflow 1: Quick Check (Web)
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Workflow 2: Research Analysis (Python Static)
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<h1 id="memory-mcp-visualization-guide">Memory MCP Visualization Guide<a class="headerlink" href="#memory-mcp-visualization-guide" title="Permanent link">¶</a></h1>
<p><strong>Author</strong>: Scot Campbell
<strong>Date</strong>: November 4, 2025
<strong>Tool</strong>: dzivkovi/mcp-memory-visualizer
<strong>Installation Location</strong>: /Users/sc/GitHub/memory-visualizer</p>
<h2 id="executive-summary">Executive Summary<a class="headerlink" href="#executive-summary" title="Permanent link">¶</a></h2>
<p>After comparing two memory visualization tools for Anthropic's memory.json format, I chose <strong>dzivkovi/mcp-memory-visualizer</strong> because it offers three complementary visualization modes:</p>
<ol>
<li>Web-based visualizer (zero installation, 100% private)</li>
<li>Python static analysis (statistical + high-res graphs)</li>
<li>Python interactive (browser-based with Python processing)</li>
</ol>
<p>The tool is installed and tested successfully.</p>
<h2 id="why-this-tool">Why This Tool?<a class="headerlink" href="#why-this-tool" title="Permanent link">¶</a></h2>
<h3 id="comparison-mjherich-vs-dzivkovi">Comparison: mjherich vs dzivkovi<a class="headerlink" href="#comparison-mjherich-vs-dzivkovi" title="Permanent link">¶</a></h3>
<table>
<thead>
<tr>
<th>Feature</th>
<th>mjherich/memory-visualizer</th>
<th>dzivkovi/mcp-memory-visualizer</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Installation</strong></td>
<td>npm + dependencies</td>
<td>None (web) OR pip (Python)</td>
</tr>
<tr>
<td><strong>Tech Stack</strong></td>
<td>React + TypeScript + D3.js + Vite</td>
<td>D3.js (web) + NetworkX/PyVis (Python)</td>
</tr>
<tr>
<td><strong>Stars</strong></td>
<td>12</td>
<td>0</td>
</tr>
<tr>
<td><strong>Maintenance</strong></td>
<td>Active (13 commits, last Aug 2025)</td>
<td>Recent (4 commits, last Jun 2025)</td>
</tr>
<tr>
<td><strong>Modes</strong></td>
<td>1 (web app)</td>
<td>3 (web + 2 Python)</td>
</tr>
<tr>
<td><strong>Live Demo</strong></td>
<td>memviz.herich.tech</td>
<td>dzivkovi.github.io/mcp-memory-visualizer</td>
</tr>
<tr>
<td><strong>Features</strong></td>
<td>Interactive graph, search, filters</td>
<td>Three modes: quick, statistical, deep</td>
</tr>
<tr>
<td><strong>Best For</strong></td>
<td>Interactive exploration</td>
<td>Multiple use cases (exploration, analysis, research)</td>
</tr>
</tbody>
</table>
<h3 id="decision-dzivkovi">Decision: dzivkovi<a class="headerlink" href="#decision-dzivkovi" title="Permanent link">¶</a></h3>
<p><strong>Chosen: dzivkovi/mcp-memory-visualizer</strong></p>
<p><strong>Reasons:</strong>
1. <strong>Three modes for different workflows</strong>: Web (quick), Python static (research), Python interactive (deep analysis)
2. <strong>Easier installation</strong>: Web version = zero install, Python version = <code>pip install -r requirements.txt</code>
3. <strong>Statistical analysis</strong>: NetworkX provides graph metrics (centrality, clusters, redundancy detection)
4. <strong>Export options</strong>: PNG (static), HTML (interactive), screenshots (web)
5. <strong>Simpler codebase</strong>: Single HTML file (web) + 2 Python scripts vs full React build system</p>
<p>mjherich's tool is more polished (React + TypeScript, better UI), but dzivkovi's three-mode approach better serves different use cases.</p>
<h2 id="installation">Installation<a class="headerlink" href="#installation" title="Permanent link">¶</a></h2>
<h3 id="method-1-web-visualizer-recommended">Method 1: Web Visualizer (Recommended)<a class="headerlink" href="#method-1-web-visualizer-recommended" title="Permanent link">¶</a></h3>
<p><strong>Zero installation required!</strong></p>
<p>Visit: https://dzivkovi.github.io/mcp-memory-visualizer/</p>
<p>Features:
- Drag & drop memory.json file
- 100% private (all processing in browser)
- Interactive graph with physics simulation
- Search entities and observations
- Color-coded entity types
- Detail panel with relationships</p>
<h3 id="method-2-python-tools-for-analysis">Method 2: Python Tools (For Analysis)<a class="headerlink" href="#method-2-python-tools-for-analysis" title="Permanent link">¶</a></h3>
<p>Already installed at: <code>/Users/sc/GitHub/memory-visualizer</code></p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="c1"># If you need to reinstall:</span>
<a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a><span class="nb">cd</span><span class="w"> </span>~/GitHub
<a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/dzivkovi/mcp-memory-visualizer.git<span class="w"> </span>memory-visualizer
<a id="__codelineno-0-4" name="__codelineno-0-4" href="#__codelineno-0-4"></a><span class="nb">cd</span><span class="w"> </span>memory-visualizer
<a id="__codelineno-0-5" name="__codelineno-0-5" href="#__codelineno-0-5"></a>pip<span class="w"> </span>install<span class="w"> </span>-r<span class="w"> </span>requirements.txt
</code></pre></div>
<p>Dependencies installed:
- networkx (graph analysis)
- matplotlib (static visualization)
- pyvis (interactive HTML output)</p>
<h2 id="usage">Usage<a class="headerlink" href="#usage" title="Permanent link">¶</a></h2>
<h3 id="option-1-web-visualizer-quick-exploration">Option 1: Web Visualizer (Quick Exploration)<a class="headerlink" href="#option-1-web-visualizer-quick-exploration" title="Permanent link">¶</a></h3>
<ol>
<li>Navigate to: https://dzivkovi.github.io/mcp-memory-visualizer/</li>
<li>Locate your memory.json file (see "Finding Your Memory File" below)</li>
<li>Drag & drop the file into the browser</li>
<li>Explore:</li>
<li>Drag nodes to rearrange</li>
<li>Zoom with mouse wheel</li>
<li>Click nodes to see observations</li>
<li>Search for entities</li>
<li>View relationships in detail panel</li>
</ol>
<p><strong>Best for</strong>: Quick visualization, on-the-fly debugging, sharing with others</p>
<h3 id="option-2-python-static-analysis-research-reports">Option 2: Python Static Analysis (Research & Reports)<a class="headerlink" href="#option-2-python-static-analysis-research-reports" title="Permanent link">¶</a></h3>
<div class="highlight"><pre><span></span><code><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="nb">cd</span><span class="w"> </span>/Users/sc/GitHub/memory-visualizer
<a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a>
<a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="c1"># Run static analysis (generates PNG + terminal output)</span>
<a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></a>python<span class="w"> </span>visualize_memory.py
<a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a>
<a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a><span class="c1"># Output:</span>
<a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></a><span class="c1"># - memory_graph.png (300 DPI high-res graph)</span>
<a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></a><span class="c1"># - Terminal: statistics, centrality, redundancy detection</span>
</code></pre></div>
<p><strong>Provides:</strong>
- Network statistics (nodes, edges, connected components)
- Centrality analysis (most connected entities)
- Redundancy detection (similar entities, sparse nodes)
- High-resolution graph (300 DPI)</p>
<p><strong>Best for</strong>: Research papers, reports, quantitative analysis, finding optimization opportunities</p>
<h3 id="option-3-python-interactive-deep-analysis">Option 3: Python Interactive (Deep Analysis)<a class="headerlink" href="#option-3-python-interactive-deep-analysis" title="Permanent link">¶</a></h3>
<div class="highlight"><pre><span></span><code><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="nb">cd</span><span class="w"> </span>/Users/sc/GitHub/memory-visualizer
<a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a>
<a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="c1"># Run interactive analysis (generates HTML)</span>
<a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a>python<span class="w"> </span>visualize_memory_interactive.py
<a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a>
<a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a><span class="c1"># Output:</span>
<a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a><span class="c1"># - memory_graph_interactive.html (opens in browser)</span>
</code></pre></div>
<p><strong>Provides:</strong>
- Browser-based interactive visualization
- Hover tooltips with full entity details
- Physics-based node positioning
- Zoom, pan, node dragging
- HTML export for sharing</p>
<p><strong>Best for</strong>: Deep analysis, presentations, sharing with collaborators</p>
<h2 id="finding-your-memory-file">Finding Your Memory File<a class="headerlink" href="#finding-your-memory-file" title="Permanent link">¶</a></h2>
<h3 id="default-location-problematic">Default Location (Problematic)<a class="headerlink" href="#default-location-problematic" title="Permanent link">¶</a></h3>
<p>Anthropic's Memory MCP server stores memory.json by default in:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a># macOS
<a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>~/.cache/npm/_npx/[hash]/node_modules/@modelcontextprotocol/server-memory/dist/memory.json
<a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a>
<a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a># Windows
<a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a>C:\Users\[username]\AppData\Local\npm-cache\_npx\[hash]\node_modules\@modelcontextprotocol\server-memory\dist\memory.json
</code></pre></div>
<p><strong>Warning</strong>: This location is temporary and gets wiped during npm cache clears or package updates!</p>
<h3 id="recommended-configure-persistent-location">Recommended: Configure Persistent Location<a class="headerlink" href="#recommended-configure-persistent-location" title="Permanent link">¶</a></h3>
<p>Edit Claude Desktop config to use a persistent location:</p>
<p><strong>macOS</strong>: <code>~/Library/Application Support/Claude/claude_desktop_config.json</code>
<strong>Windows</strong>: <code>%APPDATA%\Claude\claude_desktop_config.json</code></p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="p">{</span>
<a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="w"> </span><span class="nt">"mcpServers"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="w"> </span><span class="nt">"memory"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="w"> </span><span class="nt">"command"</span><span class="p">:</span><span class="w"> </span><span class="s2">"npx"</span><span class="p">,</span>
<a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a><span class="w"> </span><span class="nt">"args"</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">"-y"</span><span class="p">,</span><span class="w"> </span><span class="s2">"@modelcontextprotocol/server-memory"</span><span class="p">],</span>
<a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a><span class="w"> </span><span class="nt">"env"</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a><span class="w"> </span><span class="nt">"MEMORY_FILE_PATH"</span><span class="p">:</span><span class="w"> </span><span class="s2">"/Users/sc/Documents/claude-memory/memory.json"</span>
<a id="__codelineno-4-8" name="__codelineno-4-8" href="#__codelineno-4-8"></a><span class="w"> </span><span class="p">}</span>
<a id="__codelineno-4-9" name="__codelineno-4-9" href="#__codelineno-4-9"></a><span class="w"> </span><span class="p">}</span>
<a id="__codelineno-4-10" name="__codelineno-4-10" href="#__codelineno-4-10"></a><span class="w"> </span><span class="p">}</span>
<a id="__codelineno-4-11" name="__codelineno-4-11" href="#__codelineno-4-11"></a><span class="p">}</span>
</code></pre></div>
<p><strong>Recommended locations (macOS):</strong>
- <code>~/Documents/claude-memory/memory.json</code>
- <code>~/Library/Application Support/claude-memory/memory.json</code>
- <code>~/Dropbox/claude-memory/memory.json</code> (if you want cloud backup)</p>
<p><strong>Note</strong>: Create the directory first!</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a>mkdir<span class="w"> </span>-p<span class="w"> </span>~/Documents/claude-memory
</code></pre></div>
<h2 id="memory-file-format">Memory File Format<a class="headerlink" href="#memory-file-format" title="Permanent link">¶</a></h2>
<p>Anthropic's memory.json uses JSONL format (one JSON object per line):</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="s2">"entity"</span><span class="p">,</span><span class="nt">"name"</span><span class="p">:</span><span class="s2">"Python"</span><span class="p">,</span><span class="nt">"entityType"</span><span class="p">:</span><span class="s2">"technology"</span><span class="p">,</span><span class="nt">"observations"</span><span class="p">:[</span><span class="s2">"Used for data analysis"</span><span class="p">,</span><span class="s2">"Popular ML language"</span><span class="p">]}</span>
<a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="s2">"relation"</span><span class="p">,</span><span class="nt">"from"</span><span class="p">:</span><span class="s2">"Python"</span><span class="p">,</span><span class="nt">"to"</span><span class="p">:</span><span class="s2">"Data Science"</span><span class="p">,</span><span class="nt">"relationType"</span><span class="p">:</span><span class="s2">"used_in"</span><span class="p">}</span>
</code></pre></div>
<p><strong>Entity types</strong>: person, technology, project, event, organization, product, concept, research, feature, etc.</p>
<p><strong>Relation types</strong>: leads, organizes, collaborates_with, uses, powers, built_on, implements, analyzed_in, supports, etc.</p>
<h2 id="demo-data">Demo Data<a class="headerlink" href="#demo-data" title="Permanent link">¶</a></h2>
<p>The repo includes demo data at <code>/Users/sc/GitHub/memory-visualizer/memory.json</code>:</p>
<ul>
<li>16 entities across 9 types</li>
<li>25 relationships</li>
<li>Complex connections (AI research, enterprise systems, academic collaboration)</li>
<li>Varied node sizes (1-10 observations)</li>
</ul>
<p>Use this to test the tools before using your own data.</p>
<h2 id="technical-details">Technical Details<a class="headerlink" href="#technical-details" title="Permanent link">¶</a></h2>
<h3 id="web-visualizer">Web Visualizer<a class="headerlink" href="#web-visualizer" title="Permanent link">¶</a></h3>
<ul>
<li><strong>D3.js</strong> for force-directed graph layout</li>
<li><strong>Client-side processing</strong> (privacy-first)</li>
<li><strong>Responsive design</strong> (works on mobile)</li>
<li><strong>No backend required</strong></li>
</ul>
<h3 id="python-static-analysis">Python Static Analysis<a class="headerlink" href="#python-static-analysis" title="Permanent link">¶</a></h3>
<ul>
<li><strong>NetworkX</strong> for graph analysis</li>
<li><strong>Matplotlib</strong> for high-res visualization (300 DPI)</li>
<li><strong>Metrics</strong>: degree centrality, betweenness, clustering</li>
<li><strong>Output</strong>: PNG + terminal statistics</li>
</ul>
<h3 id="python-interactive">Python Interactive<a class="headerlink" href="#python-interactive" title="Permanent link">¶</a></h3>
<ul>
<li><strong>PyVis</strong> for interactive HTML output</li>
<li><strong>NetworkX</strong> for graph processing</li>
<li><strong>Physics simulation</strong> for natural layout</li>
<li><strong>HTML export</strong> for sharing</li>
</ul>
<h2 id="workflow-examples">Workflow Examples<a class="headerlink" href="#workflow-examples" title="Permanent link">¶</a></h2>
<h3 id="workflow-1-quick-check-web">Workflow 1: Quick Check (Web)<a class="headerlink" href="#workflow-1-quick-check-web" title="Permanent link">¶</a></h3>
<ol>
<li>Open https://dzivkovi.github.io/mcp-memory-visualizer/</li>
<li>Drop your memory.json</li>
<li>Visually scan for:</li>
<li>Disconnected entities (isolated nodes)</li>
<li>Overly connected entities (hubs)</li>
<li>Clusters (related concepts)</li>
</ol>
<h3 id="workflow-2-research-analysis-python-static">Workflow 2: Research Analysis (Python Static)<a class="headerlink" href="#workflow-2-research-analysis-python-static" title="Permanent link">¶</a></h3>
<ol>
<li><code>cd /Users/sc/GitHub/memory-visualizer</code></li>
<li><code>python visualize_memory.py > analysis.txt</code></li>
<li>Review terminal output for:</li>
<li>Network statistics</li>
<li>Centrality rankings</li>
<li>Redundancy candidates</li>
<li>Include <code>memory_graph.png</code> in your paper/report</li>
</ol>
<h3 id="workflow-3-deep-dive-python-interactive">Workflow 3: Deep Dive (Python Interactive)<a class="headerlink" href="#workflow-3-deep-dive-python-interactive" title="Permanent link">¶</a></h3>
<ol>
<li><code>cd /Users/sc/GitHub/memory-visualizer</code></li>
<li><code>python visualize_memory_interactive.py</code></li>
<li>Open generated HTML in browser</li>
<li>Explore with hover tooltips</li>
<li>Share HTML file with collaborators</li>
</ol>
<h3 id="workflow-4-memory-cleanup">Workflow 4: Memory Cleanup<a class="headerlink" href="#workflow-4-memory-cleanup" title="Permanent link">¶</a></h3>
<ol>
<li>Run static analysis: <code>python visualize_memory.py</code></li>
<li>Identify:</li>
<li><strong>Sparse nodes</strong>: Entities with <2 observations (candidates for deletion)</li>
<li><strong>Redundant entities</strong>: Similar names (e.g., "AI Project" vs "AI_Project")</li>
<li><strong>Disconnected nodes</strong>: Entities with no relations (orphans)</li>
<li>Manually edit memory.json or use Claude Desktop to refine memories</li>
</ol>
<h2 id="comparison-to-mjherichs-tool">Comparison to mjherich's Tool<a class="headerlink" href="#comparison-to-mjherichs-tool" title="Permanent link">¶</a></h2>
<p>If you want to try the React-based alternative:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="nb">cd</span><span class="w"> </span>~/GitHub
<a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/mjherich/memory-visualizer.git<span class="w"> </span>mjherich-visualizer
<a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a><span class="nb">cd</span><span class="w"> </span>mjherich-visualizer
<a id="__codelineno-7-4" name="__codelineno-7-4" href="#__codelineno-7-4"></a>npm<span class="w"> </span>install
<a id="__codelineno-7-5" name="__codelineno-7-5" href="#__codelineno-7-5"></a>npm<span class="w"> </span>run<span class="w"> </span>dev
</code></pre></div>
<p><strong>Live demo</strong>: https://memviz.herich.tech</p>
<p><strong>Pros:</strong>
- More polished UI (React + TypeScript + TailwindCSS)
- Better keyboard shortcuts (documented in CLAUDE.md)
- Theme system (light/dark modes)
- More active maintenance (12 stars, recent commits)</p>
<p><strong>Cons:</strong>
- Requires Node.js build setup (more complex)
- Only one mode (interactive web)
- No statistical analysis features
- No export to PNG/HTML</p>
<p><strong>When to use mjherich instead:</strong>
- You prefer modern React UI
- You want theme support
- You don't need statistical analysis
- You're already familiar with npm/Vite workflows</p>
<h2 id="troubleshooting">Troubleshooting<a class="headerlink" href="#troubleshooting" title="Permanent link">¶</a></h2>
<h3 id="issue-file-not-found-when-running-python-scripts">Issue: "File not found" when running Python scripts<a class="headerlink" href="#issue-file-not-found-when-running-python-scripts" title="Permanent link">¶</a></h3>
<p><strong>Solution</strong>: Ensure you're in the correct directory:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-8-1" name="__codelineno-8-1" href="#__codelineno-8-1"></a><span class="nb">cd</span><span class="w"> </span>/Users/sc/GitHub/memory-visualizer
<a id="__codelineno-8-2" name="__codelineno-8-2" href="#__codelineno-8-2"></a>ls<span class="w"> </span><span class="c1"># Should show: visualize_memory.py, memory.json, etc.</span>
</code></pre></div>
<h3 id="issue-matplotlib-building-font-cache">Issue: Matplotlib "building font cache"<a class="headerlink" href="#issue-matplotlib-building-font-cache" title="Permanent link">¶</a></h3>
<p><strong>Solution</strong>: This is normal on first run. Wait 30-60 seconds. Subsequent runs will be faster.</p>
<h3 id="issue-modulenotfounderror">Issue: "ModuleNotFoundError"<a class="headerlink" href="#issue-modulenotfounderror" title="Permanent link">¶</a></h3>
<p><strong>Solution</strong>: Reinstall dependencies:</p>
<div class="highlight"><pre><span></span><code><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a><span class="nb">cd</span><span class="w"> </span>/Users/sc/GitHub/memory-visualizer
<a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a>pip<span class="w"> </span>install<span class="w"> </span>-r<span class="w"> </span>requirements.txt
</code></pre></div>
<h3 id="issue-web-visualizer-not-loading-memoryjson">Issue: Web visualizer not loading memory.json<a class="headerlink" href="#issue-web-visualizer-not-loading-memoryjson" title="Permanent link">¶</a></h3>
<p><strong>Solution</strong>: Check file format. Must be JSONL (one JSON object per line), not pretty-printed JSON array.</p>
<p><strong>Wrong:</strong>
<div class="highlight"><pre><span></span><code><a id="__codelineno-10-1" name="__codelineno-10-1" href="#__codelineno-10-1"></a><span class="p">[</span>
<a id="__codelineno-10-2" name="__codelineno-10-2" href="#__codelineno-10-2"></a><span class="w"> </span><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"entity"</span><span class="p">,</span><span class="w"> </span><span class="err">...</span><span class="p">},</span>
<a id="__codelineno-10-3" name="__codelineno-10-3" href="#__codelineno-10-3"></a><span class="w"> </span><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="w"> </span><span class="s2">"relation"</span><span class="p">,</span><span class="w"> </span><span class="err">...</span><span class="p">}</span>
<a id="__codelineno-10-4" name="__codelineno-10-4" href="#__codelineno-10-4"></a><span class="p">]</span>
</code></pre></div></p>
<p><strong>Correct:</strong>
<div class="highlight"><pre><span></span><code><a id="__codelineno-11-1" name="__codelineno-11-1" href="#__codelineno-11-1"></a><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="s2">"entity"</span><span class="p">,</span><span class="err">...</span><span class="p">}</span>
<a id="__codelineno-11-2" name="__codelineno-11-2" href="#__codelineno-11-2"></a><span class="p">{</span><span class="nt">"type"</span><span class="p">:</span><span class="s2">"relation"</span><span class="p">,</span><span class="err">...</span><span class="p">}</span>
</code></pre></div></p>
<h3 id="issue-memory-file-in-temporary-npm-cache-location">Issue: Memory file in temporary npm cache location<a class="headerlink" href="#issue-memory-file-in-temporary-npm-cache-location" title="Permanent link">¶</a></h3>
<p><strong>Solution</strong>: Configure persistent location (see "Finding Your Memory File" section above).</p>
<h2 id="future-enhancements">Future Enhancements<a class="headerlink" href="#future-enhancements" title="Permanent link">¶</a></h2>
<p>Potential extensions (mentioned in repo):
- Export formats (GraphML, GEXF, JSON)
- Filtering options (entity types, date ranges)
- Advanced metrics (betweenness centrality, clustering coefficients)
- Memory editing capabilities (add/remove entities, relations)</p>
<h2 id="related-tools">Related Tools<a class="headerlink" href="#related-tools" title="Permanent link">¶</a></h2>
<ul>
<li><strong>Anthropic Memory MCP Server</strong>: https://github.com/modelcontextprotocol/servers/tree/main/src/memory</li>
<li><strong>mjherich's visualizer</strong>: https://github.com/mjherich/memory-visualizer</li>
<li><strong>cortexgraph</strong> (your temporal memory system): https://github.com/cortexgraphai/cortexgraph</li>
</ul>
<h2 id="credits">Credits<a class="headerlink" href="#credits" title="Permanent link">¶</a></h2>
<p><strong>Tool</strong>: dzivkovi/mcp-memory-visualizer
<strong>GitHub</strong>: https://github.com/dzivkovi/mcp-memory-visualizer
<strong>Live Demo</strong>: https://dzivkovi.github.io/mcp-memory-visualizer/
<strong>Philosophy</strong>: "Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away." - Antoine de Saint-Exupéry</p>
<hr />
<p><strong>Installation verified</strong>: November 4, 2025
<strong>Tool version</strong>: Latest commit 7a0bb1e (Jun 20, 2025)
<strong>Python dependencies</strong>: networkx, matplotlib, pyvis (installed)
<strong>Status</strong>: Ready to use</p>
</article>
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