1K fuckingggg stars on GitHub Brooo!! LFG
I know each and every person who starred my repo, it wasn't like one night boom! 5 months in, still giving it my all!!
If you are looking for saving tokens, here's the link: https://t.co/3fWrawCk12
happy to chat with teams thinking about AI infrastructure and organizational memory!
Enterprise: https://t.co/o2qMeyXh9R
Book a time: https://t.co/z8DVDYCAsM
we started by helping ~10,000 developers give AI better context, as more and more of them started using GrapeRoot inside their companies, we kept hearing the same thing.
the real problem wasn't just helping AI understand codebases,
BUT
It was helping AI understand entire organizations—across GitHub, Slack, docs, infrastructure, tickets, and engineering history.
After hundreds of conversations with developers and engineering teams, it became clear that organizational memory is the missing layer.
that's why we're building GrapeRoot Enterprise, the world's first SELF-LEARNING organizational brain for AI agents.
so atp this is the direction we're betting on, keen to hear how other builders are thinking about it.
@krishnakantdev@ShivGRoot
more in comments :)
#ClaudeCode #aicoding #AIAgents #LLMs
People really want to hack things somehow, LoL, asking env files to test penetration
Chatbot is live on https://t.co/Qcb5gNdgBn, ask anything about graperoot or how to use it! Anything but related to @graperootdev
GrapeRoot just crossed 100,000 PyPI downloads. 🎉
We never ran an ad.
Just developers sharing @graperootdev with other developers.
Thanks to everyone who's installed it, starred it, contributed, and shared feedback.
GrapeRoot just crossed 100,000 PyPI downloads!
No ads.
Just developers sharing GrapeRoot with other developers.
Huge thanks to everyone who's installed it, starred the project, contributed, and helped us improve it.
Here's to the next 100k. 🚀
"We have got 95%+ benchmark on longMemEval by using a memory layer on long-running agents."
Hey Everyone, we created a memory infrastructure for long-running agents, and it beats mem0 and other big tools on LongMemEval benchmarks. If you are working on long-running agents, I would love to get feedback or suggestions over DM
Website: https://t.co/22RtFC8GnX
Github: https://t.co/KpyB1hNICm
@graperootdev link: https://t.co/dQp7CKXhPg
already used by ~5k users across 90+ countries! without any paid marketing, just the real solution to the real problem.
After spending $15k in 4 months we finally pushed to create GRAPEROOT on our github dashboard :)
@graperootdev has saved over $250k for almost 200 developers(this is only number who have opted in for telemetry).
Github : https://t.co/Kb66yqkMFy
You can see AI Tag LoL🙂
Delhi isn't exactly Silicon Valley.
but last weekend in a cafe, met someone running Claude Code, walked up and pitched @graperootdev
he already knew it. his whole team was using it.
imagine Bengaluru, SF 🥰
this is what 5,000 users feels like in real life.
@krishna37930189
800 daily users is big number! I got to know when my cofounder @ShivGRoot randomly met a person in a cafe at Delhi. He was using Claude code, then shiv went to pitch our product lol (GTM things) and he turned out our active user.
That was really crazy!!
GrapeRoot builds a local context graph so AI agents retrieve only what they need, not your entire codebase.
better context → better outputs, lower token waste.
https://t.co/XDYQBd6y17
3 months ago: "what if AI agents stopped rereading the same codebase?"
today:
~5,000 devs · 90+ countries · $220K saved
AI coding isn't model-constrained anymore.
it's context-constrained.
Fable 5 released but we are still saving upto 80% of cost using @graperootdev because model can become more smarter but at any point they need context to work on, without memory of your codebase or documents it is still a stateless model. That’s what we solve at lowest cost possible.