Open source · Apache 2.0

Context graph DB for AI agents.

A single-binary, Neo4j-compatible graph engine that gives your agents a fast, portable brain.

7 ms
cold start
~15 MB
idle memory
5,588/s
writes
Apache 2.0
forever free
~98.7%
fewer tokens
Token Efficiency

Cut LLM token costs by ~98.7%.

Instead of dumping the whole knowledge base into context every turn, CognoDB retrieves only the connected neighborhood relevant to the current query. At 2,000 entities, that drops from 202,285 tokens per query down to just 2,668 — a savings of ~199,617 tokens per query.

The savings widen as your knowledge base grows. Baseline tokens scale linearly; graph-retrieval tokens stay flat, bounded by neighborhood size — not corpus size.

Baseline tokens
202,285
per query @ 2K entities
Graph retrieval
2,668
per query @ 2K entities
Saved per query
~199,617
tokens avoided
Cost saved / 1K queries
~$599
at $3 / 1M tokens

Give your agents a memory that travels.

Free, open source, and built by Wexa AI.