Your Digital Brain,
Mapped in Real-Time.
The old way: Scouring Slack, Notion, and Jira trying to remember what you worked on last Tuesday.
The MiniMe way: An automated, local Neo4j graph that connects your code, documents, and meetings silently in the background.
How the Graph Organizes the Chaos.
We transform unstructured noise into a highly structured semantic web.
Semantic Deduplication & Clustering
MiniMe's local vector extraction embeds every window title and document you touch. It knows that "Project-Alpha" and "Proj. Alpha" are the same entity, automatically merging them into a unified node.
Knowledge Decay
Concepts fade. Our algorithms detect when your knowledge on a topic is getting rusty and visually flag it in the graph.
Last accessed: 42 days ago
Community Detection
Stop manually sorting things into folders. Watch your projects naturally group themselves into thematic clusters entirely based on your actual behavior.
Learning Recommendations
Based on your active projects and knowledge gaps, MiniMe synthesizes custom curricula. It charts a direct learning path using your own historical research and saved references.
The Graph Architecture
MiniMe doesn't just store flat logs. It utilizes a state-of-the-art local data pipeline to continuously compile an ontological map of your universe.
Passive Ingestion
Browser extensions and native Tauri watchers observe your active window, URL, and application state. Data flows directly to your local machine via HTTP bridging.
NLP Enrichment
A local Celery worker runs spaCy and BERT pipelines to organically extract Persons, Organizations, Technologies, and Concepts from unstructured window titles and HTML bodies.
Neo4j Graph Storage
Entities and activities are linked in a local Neo4j database, allowing complex multi-hop queries like MATCH (d:Doc)-[:RELATED_TO]->(p:Person) locally.
Perfect for Context-Heavy Professionals
Your data is connected. Now what?
See how MiniMe uses your graph to forecast your productivity and optimize your deep work limits.
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