EMBEDDED GRAPH DATABASE

AI-Native Graph Engine

Unify graph reasoning, vector retrieval, and ACID transactions in one local runtime.
Built for RAG, agent memory, and knowledge graph applications with low-latency control, no standalone server required. All data lives in a single database file.

Seamlessly deploy across Windows, macOS, Linux, and embedded edge architectures.
With native C/C++ APIs, WebAssembly, and broad language bindings, ZYX integrates instantly into any software stack with zero IPC overhead.

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[ IO ]

Throughput Core

Segmented storage and parallel IO deliver sustained throughput with predictable latency under heavy concurrency.

IO

Throughput Core

Segmented storage and parallel IO deliver sustained throughput with predictable latency under heavy concurrency.

TX

ACID Transactions

WAL, optimistic concurrency control, and rollbackable state chains preserve correctness for multi-step graph mutations.

CY

Cypher Native

Parser, planner, and optimizer are purpose-built for graph semantics and complex pattern matching.

VS

Graph + Vector

DiskANN and quantization fuse ANN retrieval with graph traversal in a unified query path for AI workloads.

EM

Embedded Runtime

Integrate directly through C/C++ APIs with no standalone server or daemon process.

OS

Open and Governable

MIT-licensed architecture with transparent evolution for enterprise governance, auditing, and customization.

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MIT License © 2025 ZYX Contributors