graph

30 projects share this GitHub topic

graph — graphiti ★30.5kgraphpyspur — ★5.8kllm-graph-builder — ★5.2kgraph-based-deep-learning-literature — ★5.1kmemgraph — ★4.4keuler — ★2.9kGraphormer — ★2.5kCGraph — ★2.3kDeTikZify — ★1.8khash — ★1.6kLuaN1aoAgent — ★1.3kyoutu-graphrag — ★1.2kgraph — ★1.2kEmpryo — ★1.1kpgGraph — ★1kopenloomi — ★1ksoulforge — ★877ai-study — ★685virtualhome — ★623nextjs-admin-dashboard — ★542TorchCP — ★477entroly — ★443chat2graph — ★427Grape — ★398rs-graph-llm — ★350stark — ★336Graph-CoT — ★311nodedb — ★194TriviumDB — ★166gibram — ★105pyspur★ 5.8kllm-graph-builder★ 5.2kgraph-based-deep-learnin…★ 5.1kmemgraph★ 4.4keuler★ 2.9kGraphormer★ 2.5kCGraph★ 2.3kDeTikZify★ 1.8khash★ 1.6kLuaN1aoAgent★ 1.3kyoutu-graphrag★ 1.2kgraph★ 1.2kEmpryo★ 1.1kpgGraph★ 1kopenloomi★ 1ksoulforge★ 877ai-study★ 685virtualhome★ 623nextjs-admin-dashboard★ 542TorchCP★ 477entroly★ 443chat2graph★ 427Grape★ 398rs-graph-llm★ 350stark★ 336Graph-CoT★ 311nodedb★ 194TriviumDB★ 166gibram★ 105

Lines connect members that are measurably related to each other. Dot size reflects stars.

🧬 Members
graphiti
Build Real-Time Knowledge Graphs for AI Agents
★ 30.5k
pyspur
A visual playground for agentic workflows: Iterate over your agents 10x faster
★ 5.8k
llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
★ 5.2k
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
★ 5.1k
memgraph
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time…
★ 4.4k
euler
A distributed graph deep learning framework.
★ 2.9k
Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
★ 2.5k
CGraph
【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于…
★ 2.3k
DeTikZify
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ.
★ 1.8k
hash
🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation
★ 1.6k
LuaN1aoAgent
LuaN1aoAgent is a fully autonomous AI-driven penetration testing agent powered by graph-based cognitive…
★ 1.3k
youtu-graphrag
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
★ 1.2k
graph
GPU-accelerated force graph layout and rendering
★ 1.2k
Empryo
Empryo issue tracker + SoulForge (v2). Empryo is the graph-powered AI coding agent that edits symbols, not…
★ 1.1k
pgGraph
Open-source graph database superpowers for your existing Postgres data.
★ 1k
openloomi
OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on,…
★ 1k
soulforge
Empryo issue tracker + SoulForge (v2) archive — Empryo is the graph-powered AI coding agent that edits…
★ 877
ai-study
★ 685
virtualhome
API to run VirtualHome, a Multi-Agent Household Simulator
★ 623
nextjs-admin-dashboard
AI-Native Next.js admin dashboard template and UI components that come with pre-built elements, components,…
★ 542
TorchCP
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
★ 477
entroly
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable,…
★ 443
chat2graph
Chat2Graph: Graph Native Agentic System.
★ 427
Grape
A Swift library for graph visualization and efficient force simulation.
★ 398
rs-graph-llm
High-performance framework for building interactive workflow systems in Rust. Designed for complex workflows…
★ 350
stark
(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
★ 336
Graph-CoT
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)
★ 311
nodedb
The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.
★ 194
TriviumDB
A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented…
★ 166
gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG)…
★ 105
🔗 Related families

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.