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THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping...

56,502 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 17

Фото профиля Gipp 🦅
Gipp 🦅3 месяцев назад

Cost reduction is what I need

Фото профиля Yarchi
Yarchi3 месяцев назад

you’re welcome

Фото профиля Ridark
Ridark3 месяцев назад

Few channels treat their audience with this much respect

Фото профиля Yarchi
Yarchi3 месяцев назад

🫡

Фото профиля rvaniaaa
rvaniaaa3 месяцев назад

Saving tokens is really important

Фото профиля Yarchi
Yarchi3 месяцев назад

fact

Фото профиля linie
linie3 месяцев назад

that’s some efficiency hack anthropic don’t want us to know about

Фото профиля Yarchi
Yarchi3 месяцев назад

hahah probably

Фото профиля Safi
Safi3 месяцев назад

Bet

Фото профиля rari
rari3 месяцев назад

knowledge graphs make claude feel less forgetful

Фото профиля slash1s
slash1s3 месяцев назад

woe looks so futuristic haha

Фото профиля Nitish Mutha ⚡️
Nitish Mutha ⚡️3 месяцев назад

query a graph not a file tree. this is what context engineering actually looks like. structure your context before claude ever reads it. the bigger the codebase, the bigger the advantage

Фото профиля Roda
Roda3 месяцев назад

Honestly Graphify is the piece that made the whole thing click for me. The graph is derived from your actual structure instead of guessed, and it generalizes way past code. I've been pointing it at an Obsidian vault instead of a repo, and on notes it stops being a code map and becomes memory. A closeout skill writes durable notes after each session, Graphify maps how they connect, and the agent reads the right ones before the next task. Less "navigate my repo," more "remember what we already decided."

Фото профиля SLOT.WIN
SLOT.WIN3 месяцев назад

i just installed it and my token usage already feels like a fair game at my casino every bet counts when the house isn’t burning through chips on every hand

Фото профиля techVector
techVector3 месяцев назад

dude this is actually huge. claude with memory and saving tokens? finally someone made it work. gonna test it out today.

Фото профиля Asher Crowe 🪺
Asher Crowe 🪺3 месяцев назад

the number one repo right now has a shelf life of roughly a tuesday and we all just agree to keep saying it

Фото профиля Insomnia
Insomnia3 месяцев назад

this is what I rly expect

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A DEVELOPER CONNECTED CLAUDE CODE TO OBSIDIAN SO HIS AI AGENT WOULD STOP FORGETTING THE PROJECT EVERY MORNING. Every coding session used to start the same way. Claude would understand the repo, fix the bug, explain the architecture, and then the moment the session ended, all of that context disappeared. Same codebase. Same decisions. Same architecture. Same mistakes repeated again. So he added a memory layer. Instead of treating Claude Code like a smart terminal, he connected it to a local Obsidian vault through MCP. Now Claude can read the repo, open the vault, create notes, link concepts, and write important decisions back into the system. When it studies the codebase, it does not just answer once and forget. It creates notes for the major services, maps how the architecture works, links auth to the database, connects APIs to storage, and records why certain migrations or design choices exist. Obsidian becomes the project graph. Now when he asks why something was built a certain way, Claude does not guess from the current prompt. It reads the decision notes. When he starts a new branch, Claude checks the active context file. When the work is done, it updates what changed, what is blocked, and what the next agent needs to know before touching the repo. That is the real loop: read context, write code, capture decisions, update memory. Most people are still using AI coding tools like disposable chat windows. Ask, patch, close, forget. This setup turns Claude Code into infrastructure. The repo gets a memory layer that survives every session, and multiple AI agents can work from the same project map without stepping on each other. The unlock is not better prompting. The unlock is giving the agent somewhere to remember what it already learned.

DegenCalls

20,124 просмотров • 3 месяцев назад