See Your Expertise

The Problem

You've been learning for years. Building expertise. Accumulating knowledge.

But can you see it?

I know I'm good at... stuff. Technical stuff. But if someone asked me to describe my expertise, I'd struggle. It's all intuition. Nothing concrete.

Your knowledge is invisible. Scattered across memories, notes, conversations. You can't see the patterns. The connections. The clusters of expertise.

The Solution

Nowledge Mem visualizes your knowledge as a living graph. Nodes are your memories and entities. Edges are relationships.

Run community detection and watch your expertise clusters emerge:

How It Works

What You'll Discover

Expertise Clusters

Community detection reveals where your knowledge naturally groups:

• Core strengths: Large, dense clusters
• Emerging areas: Small but growing clusters
• Bridges: Nodes that connect multiple clusters

Central Concepts

PageRank shows what knowledge ties everything together:

• Foundation concepts: High PageRank, many connections
• Bridge concepts: Connect different domains
• Specialized knowledge: Low PageRank but deep within clusters

Hidden Patterns

Explore and find:

• Recurring themes you never consciously tracked
• Connections between seemingly unrelated projects
• Your unique perspective and approach
• Gaps between related topics

Asking AI About Your Graph

With your graph in view, ask AI Now to interpret it:

Based on my knowledge graph, what career paths fit me best?

AI Now synthesizes:

Your memories show a unique intersection of deep systems knowledge with teaching ability. Your most central concepts (event-driven architecture, debugging) connect to both technical and leadership clusters. Consider: Staff Engineer, Developer Advocate, or Engineering Manager with technical focus.

Other questions to try:

• "What are my strongest expertise areas?"
• "Where are the gaps in my knowledge?"
• "What topics should I explore next?"
• "How has my focus shifted over time?"

The Compound Effect

More memories = richer graph = deeper insights.

After 1 month:

I can see my main topics, but clusters are small

After 6 months:

Clear expertise areas. Unexpected connections emerging.

After 1 year:

I can literally see how my thinking has evolved. The connections I made last year laid groundwork for this year.

For performance reviews:

I explored my graph before the review. Had concrete examples of growth across every dimension.

Building Your Graph

The graph is only as good as your memories. To populate it:

Knowledge Graph Extraction

Each memory can be augmented with entities, concepts, and relationships:

You can also enable "Distill with Knowledge Graph" when creating memories from threads, extraction happens automatically.

See Advanced Features for the full technical breakdown of Knowledge Graph Extraction, Community Detection, and visual exploration.

Next Steps

• Advanced Features → More graph capabilities
• Give Your AI a Memory → Share context across tools
• Search Through Time → Temporal queries