{"repo":"bhensley5/overgraph","free":true,"listed":false,"github":"https://github.com/bhensley5/overgraph","clone":"git clone https://github.com/bhensley5/overgraph.git","description":"Absurdly fast embedded graph database with built-in vector search. Rust core, Node.js and Python connectors, GQL, graph algorithms, all in-process with no server.","language":"Rust","stars":26,"topics":["database","embedded-database","gql","graph-algorithms","graph-database","knowledge-graph","nodejs","open-source","python","rust"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"OverGraph An absurdly fast embedded graph database with built-in vector search. Pure Rust. Sub-microsecond reads. Native connectors for Node.js and Python. Built for AI agent memory, knowledge graphs, RAG pipelines, and semantic search. overgraph.io --- OverGraph is a graph database that runs inside your process. No server, no network calls, no Docker containers. You open a directory, and you have a full graph database with temporal edges, weighted relationships, sub-microsecond lookups, and built-in vector search. It's built to feel like a library, not a service you have to operate. Drive it with function calls when you're building in code, or with GQL if you want a familiar query language. Both are first-class and run on the same engine, so you're picking syntax, not implementations. And it's genuinely fast. Not \"fast for a database,\" but fast enough that you forget it's there. Node lookups land in tens of nanoseconds and batch writes push past a million nodes per second, so the engine stays out of the way of the rest of your stack. Graph structure and vector similarity can live in the same engine, so you can ask things like \"find similar nodes within 2 hops of X\" without bolting a second database onto the side. The core is pure Rust, with native connectors for Node.js and Python so you can call it from whatever you're building in. Built for - AI agent memory. Store conversations, tool outputs, entity relationships. Attach embeddings to nodes and retrieve by semantic simila","default_branch":null,"files":null,"tree":[],"storefront":"/r/bhensley5","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bhensley5/overgraph/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}