In-memory graph database and Gremlin traversal engine in Rust: browser playground, CLI, MCP server for AI agents, durable store, Python bindings.
An in-memory graph database and traversal engine in Rust, queried with Gremlin.
Playground · Book · Step reference · API docs · Mirror on GitHub Pages
AI moves faster than the tools around it. We built Graphersal so you don't have to wait for them: a lightweight, embeddable graph engine you can turn into whatever your AI solution needs — a library inside your application, a tool for your agents, or a full server with your own features on top.
It works out of the box: a browser UI, an MCP endpoint for AI agents, an AI chat where you simply ask about your graph in plain language and it writes and runs the queries for you, durable storage and transactions, and the safety to run queries you did not write — permissions, read-only access, resource limits and timeouts. You start with a working system, not with a list of components to wire together.
.has(%22name%22%2C%20%22src%22)%0A%20%20.repeat(.out()).emit()%0A%20%20.path().by(%22name%22)&run=1)
You ask Graphersal questions in plain language or in Gremlin. In the AI chat you simply write what you want to know, and the model of your choice turns it into queries, runs them and answers. Gremlin is the query language of Apache TinkerPop™: start somewhere in a graph, walk along its edges, filter, group and count.
Run it in the playground.has(%22name%22%2C%20%22marko%22).as(%22me%22)%0A%20%20.out(%22created%22).in(%22created%22)%0A%20%20.where(P.neq(%22me%22))%0A%20%20.path().by(%22name%22)&run=1): the real engine, compiled to WebAssembly, runs in your browser. Nothing to install, and your data never leaves your browser.
From the project README.
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