v2.4 · Neural Core Active

Pedro

Your AI Second Brain — remembers everything, connects anything, thinks alongside you.

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Memories indexed
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Connections made
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Knowledge graphs
Capabilities

A mind that never forgets

Pedro builds a living model of your knowledge — every note, thought, document, and conversation woven into a queryable neural architecture.

01
Total Recall
Instant retrieval across all your knowledge, no matter how old or obscure. Pedro finds the needle in the haystack every time.
Memory · RAG
02
Pattern Synthesis
Pedro detects non-obvious patterns across your notes and ideas, surfacing insights you'd have never made yourself.
Reasoning · Insight
03
Graph Linking
Every concept is a node. Every connection is an edge. Pedro maintains a living knowledge graph that grows smarter over time.
Graphs · Ontology
04
Proactive Learning
Pedro learns your thinking style, anticipates needs, and proactively resurfaces relevant memories before you even ask.
Adaptive · Predictive
05
Smart Capture
Ingest anything — PDFs, voice notes, URLs, screenshots, calendar events. Pedro processes and contextualizes it all instantly.
Ingestion · Multi-modal
06
Conflict Detection
Spots contradictions between your notes and beliefs, flags them gently, and helps you resolve inconsistencies in your thinking.
Validation · Clarity
Protocol

How Pedro thinks

01
Ingest
Connect your tools. Pedro reads your notes, emails, documents, and conversations — building a personal knowledge substrate.
02
Encode
Each piece of information is embedded into a high-dimensional vector space, forming a semantic memory graph unique to you.
03
Reason
When you query, Pedro traverses the graph, synthesizes context, and returns coherent insights — not just results.
Memory Graph

Living knowledge, always on

Watch Pedro's knowledge graph evolve in real-time as you work. Every node is a memory. Every edge is a relationship.

pedro@neural:~$ query --semantic "What did I think about quantum computing last month?"
→ Scanning memory graph [████████████] 100%
→ Found 12 nodes · 34 connections · confidence 0.94
 
You wrote: "Quantum error correction is the main blocker for practical QC. Topological qubits seem
most promising based on the MIT paper I read." [Mar 12] — linked to 3 other notes on decoherence.
 
Related: IBM Heron paper · Your talk notes from QC Summit · Conversation with Selin
pedro@neural:~$
Early Access

Your second
mind awaits

Join the waitlist. Be among the first to experience a brain that never sleeps.

⚡ Tweaks
Accent Color
Neural Density
Scanline Grain
Neural Pulses