DreamLab-AI/VisionClaw

Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clustering. AI-native via MCP tool surface and relay bridge. Fully client-side, no backend required.

VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

An ontology-governed operating system for humans and AI agents.

Interactive 3D visualization of knowledge graphs generated by Microsoft GraphRAG. Explore entities, relationships, and communities with immersive visual analytics.

A non-linear AI agent workbench — session is a tree: branch anytime, and context follows the branch

Graph engineering for AI agents: the 9-stage knowledge-graph pipeline (translated from SEU's graduate course) + task-graph orchestration patterns, as a Claude skill with teaching mode and paste-ready workflows

The spatial IDE for recursive multi-agent orchestration. It's like an Obsidian graph-view that you work directly inside of.

Agent Graph is a Multi-Agent System built on the principles of Context Engineering

Chat2Graph: Graph Native Agentic System.