Knowledge Unification
Bringing all your knowledge into one searchable system
The Core Challenge
Your knowledge lives in silos:
Twitter bookmarks you can't search effectively
Apple Notes buried in folders
Browser bookmarks with broken links
Notion databases you forgot existed
ChatGPT conversations that vanished
ATLAS unifies everything into a single, searchable knowledge graph.
Supported Data Sources
Currently Available
Twitter/X Bookmarks
Tweets, threads, linked articles, images
Apple Notes
Full note content, attachments, folders
GitHub Stars
Repository metadata, READMEs, topics
LLM Conversations
ChatGPT, Claude exports with full context
Voice Memos
Transcribed audio with AI extraction
Readwise
Highlights, annotations, and notes
Obsidian Vaults
Markdown notes with full link structure
Coming Soon
Kindle Highlights
Pocket/Instapaper
Notion Exports
YouTube Watch Later
Podcast Notes
Telegram Groups (Alpha agent integration)
The 5-Stage Pipeline
Every data source goes through ATLAS's standardized ingestion pipeline:
Stage 1: Acquire
Fetch raw data from the source
Connect to APIs, import files, or process exports. ATLAS handles authentication, rate limiting, and data retrieval automatically.
Stage 2: Prepare
Normalize into consistent format
Different sources have different structures. A tweet looks nothing like an Apple Note. This stage standardizes everything into a common schema.
Stage 3: Process
Extract intelligence with AI
This is where the magic happens. LLMs analyze each piece of content to extract:
Key concepts
Actionable insights
Important quotes
Mental frameworks
Importance scores
Stage 4: Parse
Structure into graph nodes
Extracted intelligence becomes nodes in your knowledge graph. Concepts link to content, insights link to concepts, everything connects.
Stage 5: Render
Ready for search and visualization
Final processing for full-text search indexing, graph visualization, and API exposure.
What Gets Unified
Content Items
The original sources — tweets, notes, documents, conversations.
Concepts
Key ideas extracted from your content. Each concept has:
Name and description
Importance score (0.0 - 1.0)
Source references
Related concepts
Associated insights
Insights
Actionable learnings and observations. Things you should remember and act upon.
Actions
Tasks, research threads, ideas to explore. Your knowledge becomes a to-do list.
Relationships
Connections between everything. Concept A relates to Concept B. Content X contains Concept Y.
The Unified Experience
Before ATLAS
After ATLAS
Key Benefits
🔍 Universal Search
One search box. Everything you've ever saved. Full-text search with semantic understanding.
🧠 Automatic Organization
No manual tagging or filing. ATLAS understands your content and organizes it automatically.
🔗 Connection Discovery
See relationships between ideas from different sources. Your Twitter bookmark connects to your Apple Note connects to your ChatGPT conversation.
📈 Growing Intelligence
Every new piece of content enriches existing knowledge. Your graph gets smarter over time.
💾 Data Ownership
Your unified knowledge lives in a SQLite database you control. Export anytime. No vendor lock-in.
Technical Foundation
ATLAS uses a hybrid storage architecture:
SQLite — Portable, reliable, local-first database
FTS5 — Full-text search with relevance ranking
Graph Schema — Nodes and edges for relationship traversal
Vector Embeddings — Semantic similarity (coming soon)
All running locally. All under your control.
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