HelixDB
@helixdb
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An open-source graph-vector database built in Rust🦀 Star the repo ⭐️👇🏻 https://t.co/vgOhuoImka
just use helix
Joined March 2025
Check out and ⭐️ our repo here: https://t.co/GphGIHq9Jz
github.com
HelixDB is an open-source graph-vector database built from scratch in Rust. - HelixDB/helix-db
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WHAT IS UP NEXT: - Our new GA cloud service is going to go into open beta. - HelixDB is going to be queryable using Python and TypeScript. - New and improved HNSW vector search implementation. - A super secret DB project that is going to be insane.
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6. Bug Fixes We've also made a whole host of bug fixes. In particular: - Fixed concurrent writes sometimes causing panics due to concurrent use of LMDB. - Fixed BM25 search returning empty objects at serialisation time. - Fixed undeclared variables in HelixQL not being caught
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5. Standardised Error responses All error responses are in the following format meaning you get consistent error messaging and codes across your application!
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4. Full compilation checking when running helix check Running `helix check` now validates the generated Rust code along with your HelixQL queries and schemas. If any errors arise from checking the generated Rust code, it will make a GitHub Issue for you!
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3. Submitting feedback We welcome any and all feedback. We've now made it easier to let use know about your thoughts, feature requests or bugs!
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2. Launching the dashboard via the CLI It is now super easy to launch the HelixDB dashboard via the CLI. Just run `helix dashboard start`
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Here is another example of running `helix add` to add new instances to your project. You can choose and setup deployments without looking at the doc!
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1. Interactive CLI We've implemented an interactive cli which makes it easier and simpler to setup, deploy and manage HelixDB. This is implemented for the following commands: init, add, push, build, dashboard. All previous workflows are still supported.
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HelixDB December Update! It has been a busy month so far with many improvements, changes and fixes made. TL;DR - Interactive CLI for better DX - Dashboard integration in the CLI - Improving & standardising error responses Find out more (see last post for what is up next)⬇️
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Love to see it 🫡
Hey Vibe Coders, hymm here. Today we’re diving into @helixdb , the graph-plus-vector engine that lets your app store meaning, relationships, and fast similarity search all in one place. Let’s ship. @davek_btc @ifoundaim @human058382928
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Thanks everyone for the amazing turn out at UC San Diego last weekend! 💻🤖 Looking forward to the next one :)
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Well this is it! As I promised - https://t.co/YC6mV3CjLh Fastest AI outer memory with REASONING based on @helixdb @cerebras @ollama
@cursor_ai MCP integration - persistent and fast af memory for your projects. Short description below. Enjoy!
github.com
First causal agentic AI memory. Contribute to nikita-rulenko/Helixir development by creating an account on GitHub.
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Happy Thanksgiving to all our American users out there! 🇺🇸🦃 Have a splendid evening filled with family arguments and excellent seasonal food :)
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1 year ago today, HelixDB started as a tiny idea and a GitHub repo. A year later we've gone through YC, raised, hired a team, got 3.4k GitHub stars and are now ACTUALLY building the fastest and most scalable graph-vector database. You can literally just do things!
Starting on what will likely be a multi year project, to create the fastest and most lightweight graph database available. I’ve been using AWS Neptune for the past 3 years and it’s a pain to use, slow for development, and is slow to startup. Don’t even get me started on gremlin😂
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We're hosting a hackathon at UC San Diego this Sunday! $500 cash in prizes🏆🎉
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guys, this is what PMF looks like
@georgecurtiss @cognee_ @helixdb Young database lion, let's work to improve cognee and give users memory + helixdb as a place to store it When I started, there was nothing! cognee came as a result of a lack of a good vector/graph store
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