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I truly don't understand why nobody is using this setup graphify, a tool that turns any folder into a knowledge graph your agent can query, just passed 126k stars on github and got into Y Combinator. people stopped asking ai questions. they're giving it a desk, a memory and...

109,215 views • 17 days ago •via X (Twitter)

28 Comments

Deniss's profile picture
Deniss17 days ago

the graphify + CLAUDE.md memory folder is the part that actually sticks. without it you still start from zero every session. how stable has the morning routine been for you so far?

kiosa's profile picture
kiosa17 days ago

That why it needs optimization

tim777's profile picture
tim77717 days ago

persistent memory is the actual unlock

kiosa's profile picture
kiosa17 days ago

Using it myself too

Mnimiy's profile picture
Mnimiy17 days ago

i know what ill do todays evening

kiosa's profile picture
kiosa17 days ago

Hah same here

siyuan liu | AI编程实践's profile picture
siyuan liu | AI编程实践17 days ago

Giving the agent a queryable folder graph beats paste-the-readme every session. We've been pushing structure into CLAUDE.md + a local memory file for the same reason — once the desk exists, questions get shorter and answers stay grounded.

kiosa's profile picture
kiosa17 days ago

Exactly ma friend

Asteri's profile picture
Asteri17 days ago

Thanks for sharing

kiosa's profile picture
kiosa17 days ago

Welcome bro

Гандьо's profile picture
Гандьо16 days ago

I am using it plus obsidian

Shukshin's profile picture
Shukshin17 days ago

The real upgrade is persistent memory plus controlled access to tools, not just connecting more integrations. But email, browser actions, and scheduled jobs need strict permissions and a reliable approval layer before this becomes something you can safely leave running.

kiosa's profile picture
kiosa17 days ago

Agree

Atlas's profile picture
Atlas17 days ago

the goal isn't just an agent that remembers, it's one that can show its work

Bober_smart's profile picture
Bober_smart17 days ago

I felt like trying to use this

kiosa's profile picture
kiosa17 days ago

Using it already

Marcel Velica's profile picture
Marcel Velica17 days ago

Giving AI a structured knowledge base instead of relying on isolated prompts can make a huge difference. Persistent context is what makes agents genuinely useful for complex work.

kiosa's profile picture
kiosa17 days ago

This is the way

Mikadzyki🌙's profile picture
Mikadzyki🌙17 days ago

what a gem

kiosa's profile picture
kiosa17 days ago

Likewise

Diam's profile picture
Diam17 days ago

Having the drafts ready but unsent is the bit I like. You save the preparation time without handing over the send button.

kiosa's profile picture
kiosa17 days ago

Doing it too

安叫兽|Bird🕊️ 🔶 BNB's profile picture
安叫兽|Bird🕊️ 🔶 BNB17 days ago

图谱画出来容易,后面文件改了能自动跟上吗

kiosa's profile picture
kiosa17 days ago

Easy

swapcherry's profile picture
swapcherry17 days ago

the setup alone is a job

Chen's profile picture
Chen17 days ago

126k github stars and no one's using it? half those stars are just bookmarked for later.

Nguyễn Chí Trọng Nghĩa's profile picture
Nguyễn Chí Trọng Nghĩa17 days ago

Biến một thư mục thành đồ thị tri thức để tác tử tra cứu là hướng hay: bộ nhớ có cấu trúc giúp trả lời đúng ngữ cảnh hơn là hỏi đáp rời rạc. Bạn nghĩ chi phí cập nhật đồ thị khi dữ liệu đổi thì sao?

Vipul Kumar Kewat's profile picture
Vipul Kumar Kewat16 days ago

I love how creative people are getting with these tools.

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I can't f*cking believe people still use Claude Code like a chat bot. the ones getting real work out of it gave it a folder, tools and a map of everything it knows. that map is graphify. you point it at a folder and it builds a knowledge graph of everything inside. code, docs, PDFs, images, even video. then your agent searches the graph instead of opening files one by one. 134k stars on GitHub. backed by Y Combinator. and most people still haven't tried it. what makes it different: -> the code part runs fully on your machine. nothing gets uploaded -> no vector database, no embeddings. it's a real graph your agent walks through -> every connection is labeled: read straight from the source, or figured out by graphify. you always know which -> you get 3 files: a clickable map you open in your browser, a report with the key ideas and surprising links, and the full graph your agent queries anytime on a public memory benchmark it found the right answer in its top 10 results about half the time. mem0 managed under 5%. and building the graph cost 0 model credits. here's the full setup around it: > create a folder called AGENT, open Claude Code inside it, and add a CLAUDE.md with one line: "save every decision, person and project to memory/" > run uv tool install graphifyy, then graphify install, then type /graphify . and the whole folder becomes a map Claude can search in seconds > run npm install -g @googleworkspace/cli, then gws auth setup and gws auth login. Claude can now read your Gmail, Calendar and Drive > run claude mcp add playwright npx @playwright/mcp@latest. it gets its own browser for sites, forms and data > run npm i -g jev-guard, then jev-guard key "...", then jev-guard install claude. Jev checks every action before it runs. rm -rf gets blocked, emails with hidden instructions get flagged, about 4 cents per 1,000 checks > type /schedule and say "every morning at 7:30, send me what came in, what you drafted and what needs my yes" one folder. 15 minutes. and Claude finally knows where everything is. all the repos: -> -> -> -> bookmark this and try graphify first. it's the piece everyone skips.

kiosa

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Yarchi

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