lucasrosati

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. πŸ‡§πŸ‡· PT-BR included.

99
1
100% credibility
Found Apr 14, 2026 at 99 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository provides a step-by-step guide to building a persistent memory system for AI coding sessions using a digital notebook and code structure mapping to minimize repeated explanations and costs.

How It Works

1
πŸ“– Discover the guide

You stumble upon a friendly guide promising to make your AI coding helper remember projects forever without wasting money on repeated explanations.

2
πŸ—‚οΈ Set up your notebook

You install a free digital notebook app and organize folders for all your projects, decisions, and chat histories in one central spot.

3
πŸ“ Write AI instructions

You create a simple note with rules, project details, and special commands like 'resume' and 'save' that your AI reads to stay smart.

4
🌐 Map your project

You run a quick scan to build a lasting map of your code's structure, so your AI understands connections without re-reading files every time.

5
πŸ’Ύ Save chats automatically

You set up a simple routine to pull in your past conversations and neatly file them into your notebook for easy searching.

6
πŸ”„ Use in every session

You start sessions with 'resume' to instantly catch up, work on your code using the map, and end with 'save' to log progress.

πŸŽ‰ Save time and money

Your AI now remembers everything across sessions, uses way fewer resources, and your notebook reveals surprising project connections.

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AI-Generated Review

What is claude-code-memory-setup?

This project delivers a claude code memory setup that integrates Obsidian for persistent project memory, Graphify for codebase knowledge graphs, and a chat import pipeline. It solves Claude Code's amnesia between sessions and wasteful codebase re-reading, claiming 71.5x fewer tokens per session by letting Claude query graphs and notes instead. Developers get a single Obsidian vault with imported chats, session logs, and code structure maps, all in English and PT-BR.

Why is it gaining traction?

It stands out with free, local tools like Obsidian Zettelkasten for decisions and Graphify for queryable code graphs across 20 languages, slashing token costs without API hits. The hook is seamless workflow: /resume loads context, /save logs progress, and cron-automated chat imports keep knowledge persistent. Users notice instant session continuity and interactive graph views for cross-project insights.

Who should use this?

Claude Code users building React, Python, or multi-lang projects who burn tokens on repeated context uploads. Ideal for solo devs or teams tracking architecture decisions, bugs, and features across sessions. Skip if you're not deep into Anthropic's tools or prefer lightweight setups.

Verdict

Try it if Claude Code is your daily driverβ€”detailed docs and real results (499x token cuts in tests) make setup straightforward despite 89 stars and 1.0% credibility score signaling early maturity. Polish the custom scripts for production, but it transforms sessions now.

(198 words)

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