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Triple Memory

Triple Memory

@ktpriyatham
developmentMemory ManagementContext RetentionPersistent Storage

A comprehensive memory architecture combining three complementary systems (LanceDB conversation memory, Git-Notes structured memory, and file-based workspace search) for maximum context retention and intelligent recall across sessions.

🚀 Triple Memory combines three powerful systems to remember everything across your sessions. LanceDB automatically recalls relevant conversations and stores your preferences, Git-Notes captures structured decisions with smart tagging, and File Search keeps your workspace docs accessible. Together, they create a seamless memory that learns your patterns and adapts to your needs.

💡 Perfect for teams managing complex projects, developers tracking architectural decisions, or anyone who needs consistent context. Automatically extracts important information from conversations, organizes it by importance level, and makes it instantly searchable—no manual note-taking required.

✨ Unlike single-system solutions, Triple Memory works locally and in the cloud, stays branch-aware for git workflows, and requires zero external API calls for core features. Your memory grows smarter with every interaction.

GitHub

Requirements

OpenAI API Key

Required for LanceDB text embedding (text-embedding-3-small model)

LanceDB

Vector database for conversation memory and auto-recall functionality

Git

Required for Git-Notes memory system and branch-aware storage

Python 3

Required for Git-Notes memory scripts and file search utilities