triple-memory

Community

Persistent, multi-backend memory for agents.

AuthorLutra23
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a unified memory architecture that preserves context across agent sessions by coordinating LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. It is ideal when you need persistent context, cross-session continuity, or coherent decision and task tracking across multiple memory backends.

Core Features & Use Cases

  • LanceDB memory: auto-recall and auto-capture for conversation memory and preferences
  • Git-Notes memory: structured, branch-scoped memory with entity extraction for searchable decisions
  • File Search: workspace-based memory indexing and quick file retrieval
  • Use Case: long-running agents requiring persistent context and multi-backend memory coherence across sessions

Quick Start

Start by enabling the LanceDB memory plugin, install Git-Notes memory, and set up the file search script, then initialize a session to load persistent context.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: triple-memory
Download link: https://github.com/Lutra23/content-workflow/archive/main.zip#triple-memory

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.