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Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

Build Real-Time Knowledge Graphs for AI Agents

Graphs for Everyone

Agent-native executable language for AI-native development: Agents build programs; humans govern verifiable semantic graphs.

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

Framework to build resilient language agents as graphs.

DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.

gap — graph as policy: compile language instructions into typed, verified robot skill graphs and execute them on simulators or real robots

🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

Offline-first workout tracker for strength and cardio, with progress graphs, rest timers, and custom themes. Built with Flutter.

Multi-agent research execution system: paper reproduction, benchmark evaluation, AutoResearch and claim-evidence graphs

Local desktop app for media collection & library management: skeuomorphic DVD shelves, force‑directed relationship graphs, and analytics.

Official home of genome aligner based upon notion of Cactus graphs

Handles serializing and deserializing data structures, including object graphs, into array structures or other formats like XML and JSON.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

A simple tool to generate per-AS traffic graphs from NetFlow/sFlow records

Ontop is a platform to query relational databases as Virtual RDF Knowledge Graphs using SPARQL

Convert Java to JSON/TOON and back. Supports complex object graphs, cyclic references, and TOON format for 40-50% LLM token savings

Convert graphs generated by Graphviz to LaTeX friendly formats

a Bioinformatics Application for Navigating De novo Assembly Graphs Easily

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

R package for streamlined export of graphs and data tables.

Traverses array structures and object graphs to enumerate all referenced objects

Provides useful operations on PHP object graphs

A minimalist tree plotting library using toyplot graphs

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

Streaming reactive and dataflow graphs in Python

JavaScript architecture diagrams and dependency graphs