Back to AI Assistant with Deep Local Memory

Secure Local Vector Database

Text is converted into an embedding array and saved into a local SQLite/Vector JSON file on your C: drive.

Core Architecture

How It Works Under The Hood

The Secure Local Vector Database module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.

Total Privacy

Personal data is mathematically secured locally, not floating on a public cloud server.

Fact Retention

'Remember that the server IP is 192.168.1.5' stores the exact fact permanently.

Preference Mapping

Remembers you prefer 'Dark Mode' or that you code primarily in 'TypeScript'.

Lightweight Storage

Takes up mere megabytes of space even with thousands of memories.

Diagnostics

Execution Trace

~ > coral execute --module secure-local-vector-database --verbose
0.00ms [INFO] Initializing C++ memory hooks... OK
2.14ms [INFO] Bypassing UI thread restrictions... OK
5.89ms [INFO] Allocating vector buffer for LLM context...
8.22ms [WARN] Elevating privileges to Admin ring...
14.01ms >>> Execution payload delivered successfully.

Technical Specs

  • Latency< 15ms
  • RuntimeC++ / Py 3.11
  • PrivilegeRing 3 / Admin
  • Offline ModeRequires Internet

Agentic Integration

This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.