session-memory

Persists session context across AI coding tasks using structured memory taxonomy and toolset profiles.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/JNZader/javi-ai --skill session-memory-jnzader
Or copy as Structured Prompt for Agent▌
Please help me install this Agent Skill.
Skill: session-memory
Source: https://github.com/JNZader/javi-ai/tree/main/own/skills/session-memory
Command: npx skills add https://github.com/JNZader/javi-ai --skill session-memory-jnzader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI assistants are stateless by default. Session memory persists critical context across sessions by storing memories and enforcing toolset profiles to guide behavior.

Core Features & Use Cases

  • Session memory patterns and taxonomy organize decisions, gotchas, patterns, and actions to reduce repetition.
  • Toolset profiles restrict tools based on work mode, improving safety and speed.
  • /remember command handler captures user input into categorized memories for quick retrieval and sharing.
  • References and templates guide integration with broader orchestration patterns (Engram, domain orchestrators).

Quick Start

Use /remember to persist a memory entry for your current project session.

Frequently Asked Questions about session-memory

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

FAQPage Schema
How do I persist AI context across coding sessions?▌

You can persist AI context across coding sessions by applying a structured memory taxonomy that organizes decisions, gotchas, and patterns to reduce stateless repetition.

What is the best way to remember coding patterns and decisions in a CLI?▌

The best way to remember coding patterns in a CLI is using a /remember command handler that captures user input into categorized memory entries for quick retrieval and sharing.

Can I restrict tool access based on my current development mode?▌

Yes, you can restrict tool access by applying toolset profiles that enforce per-mode tool rules, which improves safety and speed during development workflows.

Does session memory work with broader orchestration patterns?▌

Yes, session memory includes references and templates that guide integration with broader orchestration patterns like Engram and domain orchestrators.

How do I organize AI memories to reduce repetition in development workflows?▌

You organize AI memories by applying a structured memory taxonomy that categorizes actions, decisions, and gotchas to reduce repetition and improve accuracy.

What are the limitations of session memory for AI coding assistants?▌

Session memory relies on a safe, self-contained execution model for integration into CLIs, requiring optional scripts, references, or assets to support broader orchestration patterns.