skills.rest
ehfazrezwan
ehfazrezwanCOMMUNITY
Explore all skills by this author →
GitHub

neuralscape-memory

Store and retrieve categorized user preferences and project conventions across sessions.

5|1|Updated Feb 10, 2026
Search Tags:#knowledge graph#ai agents#persistent memory#project conventions#user preferences#async storage#context recall
One-click install
npx skills add https://github.com/ehfazrezwan/neuralscape --skill neuralscape-memory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neuralscape-memory
Source: https://github.com/ehfazrezwan/neuralscape/tree/main/.claude/skills/neuralscape-memory
Command: npx skills add https://github.com/ehfazrezwan/neuralscape --skill neuralscape-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI coding assistants and personal agents lose all context between sessions, forcing them to re-ask users for preferences, project conventions, and past technical decisions every time, leading to repetitive work and inconsistent behavior.

Core Features & Use Cases

  • Persistent Categorized Memory: Stores user preferences, personal facts, technical skills, project tech stacks, coding conventions, and architectural decisions in a structured, searchable format.
  • Multi-User Collaboration: Supports private personal memory pools and shared team knowledge bases, with sensible default visibility per memory category.
  • Flexible Access: Exposes memory operations via MCP tools for AI agent integration and a REST API for direct programmatic access, with asynchronous writes and synchronous search.
  • Use Case: A developer working on a FastAPI project can have their agent recall the team's snake_case naming convention and their personal preference for 4-space indentation automatically at session start, without manual re-entry.

Quick Start

Use the neuralscape-memory skill to load all known user preferences and project-specific conventions for the current project at the start of a new coding session.

Frequently Asked Questions about neuralscape-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I give my AI coding assistant persistent memory across sessions?▼

You can give AI agents persistent memory by using a skill that stores user preferences, project conventions, and technical decisions in a categorized knowledge graph. This enables context recall automatically when bootstrapping new sessions.

How do I store team coding conventions and user preferences for AI agents?▼

Team coding conventions and user preferences are stored as categorized facts in memory pools. The system supports both private personal memory and shared team knowledge bases, ensuring sensible default visibility per memory category.

Can I use asynchronous memory writes with Redis for AI agent context?▼

Yes, asynchronous memory writes are implemented via ARQ and Redis for AI agent context. The system handles write operations asynchronously while providing synchronous semantic and graph search for immediate context retrieval.

Does persistent memory for AI agents expose a REST API and MCP tools?▼

Persistent memory for AI agents exposes functionality through both MCP tools for AI agent integration and a REST API at localhost:8199 for direct programmatic access. This enables flexible context retrieval and storage during development workflows.

What is the best way to bootstrap context for an AI coding assistant at session start?▼

Bootstrapping context at session start is best achieved by loading all known user preferences and project-specific conventions from a persistent memory store. This automatically retrieves technical decisions and team standards without manual re-entry.

How does a knowledge graph improve context recall for personal agents?▼

A knowledge graph improves context recall for personal agents by structuring user preferences, technical skills, and architectural decisions in a searchable format. This enables synchronous semantic and graph search to retrieve relevant facts accurately.

Related Skills

Explore More Software Engineering Skills→
SaintForeSaintFore

fastapi-sqlmodel-arq-backend

Build asynchronous FastAPI backends with SQLModel, Arq, and JWT authentication.

Community
Advanced
ncz-osncz-os
29

mnemos-memory

Store and retrieve persistent memories across agent sessions via API.

Official
Intermediate
skeeper75skeeper75

figma-development

Develop Figma plugins, widgets, and integrations using Plugin and Widget APIs.

Community
Advanced
chenzhu007chenzhu007

supermemory

Design multi-tier memory architectures with contextual retrieval and knowledge graphs.

Community
Advanced