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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 Aufrufe • vor 3 Monaten •via X (Twitter)

17 Kommentare

Profilbild von Gipp 🦅
Gipp 🦅vor 3 Monaten

Cost reduction is what I need

Profilbild von Yarchi
Yarchivor 3 Monaten

you’re welcome

Profilbild von Ridark
Ridarkvor 3 Monaten

Few channels treat their audience with this much respect

Profilbild von Yarchi
Yarchivor 3 Monaten

🫡

Profilbild von rvaniaaa
rvaniaaavor 3 Monaten

Saving tokens is really important

Profilbild von Yarchi
Yarchivor 3 Monaten

fact

Profilbild von linie
linievor 3 Monaten

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

Profilbild von Yarchi
Yarchivor 3 Monaten

hahah probably

Profilbild von Safi
Safivor 3 Monaten

Bet

Profilbild von rari
rarivor 3 Monaten

knowledge graphs make claude feel less forgetful

Profilbild von slash1s
slash1svor 3 Monaten

woe looks so futuristic haha

Profilbild von Nitish Mutha ⚡️
Nitish Mutha ⚡️vor 3 Monaten

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

Profilbild von Roda
Rodavor 3 Monaten

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."

Profilbild von SLOT.WIN
SLOT.WINvor 3 Monaten

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

Profilbild von techVector
techVectorvor 3 Monaten

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

Profilbild von Asher Crowe 🪺
Asher Crowe 🪺vor 3 Monaten

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

Profilbild von Insomnia
Insomniavor 3 Monaten

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.

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20,124 Aufrufe • vor 3 Monaten