Back to AI Assistant with Deep Local Memory

Granular Memory Management

You retain full control over your data with explicit `delete_memory` and `list_memories` tools.

Core Architecture

How It Works Under The Hood

The Granular Memory Management 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.

Surgical Deletion

Command 'Forget the old server IP', and it purges that specific vector node.

Memory Audits

Ask 'What do you know about my project?' to get a full list of saved context.

Auto-Overwrite

Updates facts seamlessly. 'My new IP is X' will overwrite the old memory cluster.

Wipe All Feature

One command to completely format the local SQLite database for a fresh start.

Diagnostics

Execution Trace

~ > coral execute --module granular-memory-management --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.