Instant graph context for AI agents fraud detection compliance systems real-time decisions
When a signal arrives, the context you need is already ready.
No waiting. No slow queries. Just answers.
When a signal arrives, the context you need is already ready.
No waiting. No slow queries. Just answers.
Traditional graph databases do their heavy lifting at read time. That's fine for dashboards. It's not fine when an AI agent needs context in microseconds, or when a compliance system is processing thousands of transactions per second.
krabnet keeps the answers you care about ready before you ask. Your graph changes constantly — krabnet makes sure the context derived from it is always current and always instant to read.
Tell krabnet what context you need from your graph. It keeps those answers ready and up to date as your data changes, so reads are always instant.
Specify the graph context that matters to your application — relationships, neighborhoods, paths. krabnet prepares the results.
Stream changes to your graph in real time. As entities and relationships are added or removed, krabnet keeps every result current.
When your application needs context, the answer is already there. Microsecond reads on a graph that never stops changing.
Define the graph context you need once. krabnet keeps it current as your data changes — always fresh, always instant to read.
When your graph changes, only the affected results are updated. No stale data, no full recomputation. Mathematically exact.
Get a fast binary signal, a structural breakdown, or a full AI-powered analysis of what changed — choose the depth your use case needs.
krabnet spots emerging patterns in your live data and surfaces them before you think to ask. The graph tells you what to watch.
Ingest over 100,000 events per second with sub-microsecond latency. Built in Rust for the workloads where performance is non-negotiable.
Crash recovery, automatic memory management, and persistent state. Designed to run unsupervised in production environments.
Written in Rust. Designed for workloads where latency is measured in microseconds.
For backend services and enterprise systems. Bidirectional streaming with full crash recovery and production durability.
krabnet-server
For AI agents. Connect Claude, GPT, or any MCP-compatible agent directly to live graph context as a tool.
krabnet-mcp
krabnet is open source and written in Rust. Install it, define the context you need, and see what instant graph reads feel like.
cargo install krabnet