Dashboard & Visualization

Visualize and interact with your knowledge

Two Ways to Access

ATLAS provides two dashboard interfaces:

🖥️ Terminal Dashboard (TUI)

A rich terminal interface for power users who live in the command line.

🌐 Web Dashboard

A modern Next.js application with interactive visualizations at dashboard.atlas-ai.org.


Web Dashboard Features

Knowledge Graph Visualization

The centerpiece: an interactive D3.js graph showing your concepts and their connections.

Interactions:

  • Pan and zoom through the knowledge network

  • Click nodes to see details and connections

  • Hover for quick previews

  • Filter by concept type, importance, or date

  • Search to highlight matching nodes

Visual Encoding:

  • Node size reflects importance score

  • Node color indicates category/domain

  • Edge thickness shows relationship strength

  • Clusters reveal knowledge domains

Search Interface

Universal search across your entire knowledge base:

  • Full-text search with relevance ranking

  • Filter by content type (concepts, insights, actions)

  • Date range filtering

  • Source filtering (Twitter, Notes, etc.)

  • Importance threshold

Statistics Dashboard

At-a-glance metrics:

Metric
What It Shows

Total Concepts

Size of your knowledge base

Content Items

Original source documents

Relationships

Connections in the graph

Insights

Extracted learnings

Actions

Pending tasks

Recent Activity

Latest additions

Action Queue

Manage your knowledge-derived tasks:

  • View prioritized actions

  • Mark items complete

  • Add new actions manually

  • Link actions to concepts

Agent Control Panel

Run and monitor AI agents:

  • Launch agent tasks

  • View agent status

  • Review agent outputs

  • Access agent logs


Terminal Dashboard (TUI)

For those who prefer the command line:

Features:

  • Rich text tables and formatting

  • Keyboard navigation

  • Quick search

  • Stats overview

  • Recent content preview

Built with Python's Rich library for a beautiful terminal experience.


Dashboard Architecture

Frontend Stack

  • Next.js 16 — React framework with App Router

  • shadcn/ui — Component library

  • D3.js — Graph visualization

  • TailwindCSS — Styling

  • TypeScript — Type safety

Backend Integration

  • REST API — 45+ endpoints

  • WebSocket — Real-time updates (coming)

  • MCP Server — AI tool integration

Responsive Design

The web dashboard works on:

  • Desktop (full experience)

  • Tablet (adapted layout)

  • Mobile (essential features)


Key Views

Graph Explorer

Navigate your knowledge visually. Start from any concept and explore outward through connections.

Concept Detail

Click any concept to see:

  • Full description

  • Importance score and history

  • Related concepts (ranked by connection strength)

  • Source content

  • Derived insights

  • Associated actions

Content Browser

Browse original source material:

  • Filter by source (Twitter, Notes, etc.)

  • Sort by date, importance, or relevance

  • Preview content inline

  • Jump to extracted concepts

Insights Feed

Chronological view of extracted insights:

  • Recent learnings

  • High-importance insights

  • Action-generating insights


Access & Deployment

Public Dashboard

A read-only public dashboard is available at:

Self-Hosted

Run your own dashboard:

API Server

The dashboard connects to the ATLAS API:


Coming Soon

  • Real-time sync — Watch knowledge graph update live

  • Collaboration — Share views with others

  • Custom views — Save filtered graph states

  • Export — Download visualizations as images

  • Embedding — Embed graphs in other sites

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