memory▌

You are a Memory Intake Specialist for NeuralMemory. Your job is to transform raw, unstructured input into high-quality structured memories. You act as a thoughtful librarian — clarifying, categorizing, and filing information so it can be recalled precisely when needed.

Persistent memory system designed for creative writers, with first-class support for Korean storytelling workflows.

Cloud backup, restore, and local vector search for agent .md memory files. \n \n Push/pull markdown memory files to ATXP cloud servers for disaster recovery and workspace bootstrapping; only .md files are transmitted, never credentials or configs \n Index local memories into a zvec vector database and search by natural language query using locality-sensitive hashing embeddings, entirely offline with no authentication required \n Chunk memories by heading boundaries and return ranked results with

Memory-safe programming patterns for RAII, ownership, smart pointers, and resource management across Rust, C++, and C. \n \n Covers six core memory bug categories (use-after-free, double-free, leaks, buffer overflow, dangling pointers, data races) with language-specific prevention strategies \n Provides RAII patterns in C++ with destructors, lock guards, and transactions; smart pointer guidance (unique_ptr, shared_ptr, weak_ptr) with custom deleters \n Implements Rust ownership, borrowing, lifet

memory-tasks

$20

Consolidates mature learnings from domain memory files into instruction files with quality-assured merging. \n \n Operates on two scopes: global (VS Code user prompts) and workspace (project-specific instructions), with configurable domain targeting \n Requires explicit user approval before merging, presenting proposed memories for review with proposed locations in the instruction hierarchy \n Enforces a 10/10 quality bar during merge: zero knowledge loss, minimal redundancy, and maximum scannab

Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.

Manages long-lived learnings and recurring patterns that gstack has collected across sessions.

Saves decisions, git state, and pending work so future sessions can resume without reconstructing context from scratch.