ai-agent

FalkorDB: Fast Graph Database

Name: FalkorDB: Fast Graph Database
Author: FalkorDB

Get a super fast graph database for your startup, built for founders using LLM with 4.8k+ GitHub stars.

4,781 stars404 forksCQuality 8/10Updated 7/15/2026100% free · open source

What it does

FalkorDB provides a super fast graph database for your startup, utilizing GraphBLAS for sparse adjacency matrix graph representation to power Knowledge Graphs for Large Language Models (LLMs)

Install / run

git clone https://github.com/FalkorDB/FalkorDB.git && cd FalkorDB

When to use it

•Building a knowledge graph for an LLM
•Needing a high-performance graph database for complex relationships
•Developing applications requiring fast graph queries and traversals

Quick start

1Run `mkdir build && cd build` to create a build directory
2Execute `cmake ..` to configure the build process
3Compile FalkorDB with `make`
4Run `./falkordb` to start the database server
5Use the `falkordb_client` example to connect and query the database

Ready-to-paste prompt

Run `./falkordb_client -h localhost -p 8000 -q 'MATCH (n) RETURN n'` to query all nodes in the graph

Heads up: Ensure you have CMake and a C compiler (such as GCC) installed on your system, as FalkorDB is built using C and requires these tools for compilation

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