Topics / #neo4j

Neo4j projects on GitHub

Graph database platform for storing and querying connected data.

As of October 17, 2026, the most-starred Neo4j projects on GitHub are pentagi (30.8K stars), migrate (19K stars) and neo4j (17.3K stars). GitHub.Locker tracks 16 Neo4j repositories with 175.8K stars combined. The fastest-growing on October 16 was pentagi, with +219 stars in a day.

16Projects

175.8KStars in total

+509Stars in a day

Browse in the catalog →github.com/topics/neo4j ↗

Hot right now

Most stars gained in a day · Oct 16

+219

pentagi

vxcontrol/pentagi · ★ 30.8K

PentAGI (Penetration testing Artificial General Intelligence) is a fully autonomous AI agent system that performs complex penetration testing tasks for you.

+121

MemoryBear

SuanmoSuanyangTechnology/MemoryBear · ★ 7.8K

MemoryBear is an AI memory system that gives AI agents human-like memory: instead of just storing knowledge statically, it perceives, extracts, associates and forgets information over time.

+33

all-in-rag

datawhalechina/all-in-rag · ★ 12.2K

This is a full-stack tutorial on Retrieval-Augmented Generation (RAG) for developers building LLM applications, covering theory and hands-on practice from basic concepts to production-ready RAG systems.

+21

Decepticon

BitterSecurity/Decepticon · ★ 6.2K

Decepticon is a professional autonomous Red Team agent that runs full attack chains — reconnaissance, exploitation, privilege escalation, lateral movement, and C2 — the way a real adversary would, instead of just scanning and printing a report.

The all-time top

16 projects · by stars

#1 · vxcontrol/pentagi
pentagi
PentAGI (Penetration testing Artificial General Intelligence) is a fully autonomous AI agent system that performs complex penetration testing tasks for you.
30.8K
#2 · golang-migrate/migrate
migrate
A database migration tool written in Go: it reads migrations from a source (files, S3, GitHub, etc.) and applies them in the correct order to your database. Use it as a CLI or import it as a Go library.
19K
#3 · neo4j/neo4j
neo4j
Neo4j is the world's leading graph database: a high-performance store where data is modeled as a flexible network of nodes and relationships instead of static tables, with a friendly query language and ACID transactions.
17.3K

4
semantica
14.1Ksemantica-agi/semantica · Python
Semantica is an open-source, graph-native infrastructure layer that ingests enterprise data and builds a structured Context Graph and knowledge graph with deterministic reasoning, ontology governance, and full decision provenance, so AI systems can be explained and audited instead of treated as black boxes.
5
hydradb
13.1Khydra-db/hydradb · Rust
HydraDB is an object-store-native distributed graph database written in Rust: the graph lives in S3-compatible storage, queried over OpenCypher with Neo4j-compatible Bolt connectivity and an HTTPS JSON/NDJSON API.
6
all-in-rag
12.2Kdatawhalechina/all-in-rag · Python
This is a full-stack tutorial on Retrieval-Augmented Generation (RAG) for developers building LLM applications, covering theory and hands-on practice from basic concepts to production-ready RAG systems.
7
MemOS
11.9KMemTensor/MemOS · TypeScript
MemOS is a Memory Operating System for LLMs and AI agents that unifies storing, retrieving, and managing long-term memory, so agents can have context-aware, personalized interactions instead of starting from scratch each session.
8
bbot
10.7Kblacklanternsecurity/bbot · Python
BBOT is a recursive internet scanner for hackers — it automates recon, bug bounty work and attack surface management (ASM), inspired by Spiderfoot.
9
BloodHound-Legacy
10.6KSpecterOps/BloodHound-Legacy · PowerShell
BloodHound Legacy is a security tool that uses graph theory to map hidden relationships and attack paths inside an Active Directory environment, helping find the shortest route to Domain Admin — hence its tagline 'Six Degrees of Domain Admin'.
10
flowsint
9.8Kreconurge/flowsint · TypeScript
Flowsint is an open-source, graph-based OSINT investigation tool that lets analysts explore relationships between people, domains, IPs, organizations and more through a visual graph interface with automated enrichers.
11
MemoryBear
7.8KSuanmoSuanyangTechnology/MemoryBear · Python
MemoryBear is an AI memory system that gives AI agents human-like memory: instead of just storing knowledge statically, it perceives, extracts, associates and forgets information over time.
12
Decepticon
6.2KBitterSecurity/Decepticon · Python
Decepticon is a professional autonomous Red Team agent that runs full attack chains — reconnaissance, exploitation, privilege escalation, lateral movement, and C2 — the way a real adversary would, instead of just scanning and printing a report.
13
RuVector
4.6Kruvnet/RuVector · Rust
RuVector is a Rust-native persistent memory substrate for AI agents, combining local vector embeddings, graph relationships, feedback-driven learning, and memory lifecycle controls so agents can remember across sessions.
14
m_flow
4.5KFlowElement-xinliuyuansu/m_flow · Python
M-flow is a bio-inspired cognitive memory engine that acts as a new paradigm for Graph RAG: instead of just retrieving similar text chunks, it builds a graph of memories and scores answers by the strongest chain of evidence connecting the query to the content, the way human recall works.
15
redamon
3.1Ksamugit83/redamon · Python
RedAmon is an open-source, self-hosted AI framework that chains reconnaissance, exploitation and post-exploitation into one pipeline, maps the attack surface into a Neo4j graph, and then triages findings and opens GitHub pull requests that fix what it discovers.
16
zilan
200lxcshine/zilan · Go
Zilan is an LLM-powered knowledge management and Q&A platform that unifies RAG quick Q&A, ReAct agent reasoning, and auto-generated Wiki knowledge distillation into one minimalist knowledge hub.