HelixDB

What it does

After more than a year of development, HelixDB is now generally available! Whether you're an indie hacker building custom agent memory, or a Fortune 500 that needs an infinitely scalable and highly available OLTP graph/vector database, we can handle your workload. Star the repo! https://github.com/HelixDB/helix-db

HelixDB is the graph-vector database for AI memory — knowledge graphs, vectors, temporal, and full-text search in one Rust engine for agent memory, RAG, and company brains.

Knowledge graphs, vectors, temporal & full-text search in one engine — for agents, RAG, and company brains. Build memory yourself, or build your memory product on top of it. curl -sSL "https://install.helix-db.com" | bash Install the SDKs TypeScript setup docs TypeScript Python Go Rust npm install @helix-db/helix-db Cookbooks ~/helixdb/cookbooks See more ↗ 0 1 Agent memory Long-term episodic and entity memory for an AI agent. Combine relationships and similarity for contextual ranking. Persist graph and vector data directly on durable object storage. Perform any pre-filter before ranking FTS and vector results. Commit graph and vector writes together, or roll them back together. Low-latency…from helix-db.com

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  HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237

  Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

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  HelixDB – A graph database built on object storageJun 2026 · github.com · ▲159

  Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…

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