Knowledge Graph GitHub Repositories (2026) · Open Source Tools

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

The EMBL-EBI Ontology Lookup Service (OLS)

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

LadybugDB a graph database

Markdown knowledge graph — LSP for your editor, CLI + MCP memory for your AI agents

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

Lightweight Knowledge Base and Feed Reader.

World Model 🌱🐋🌍

Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

Jivejdon is a chain notebook with DDD/CQRS/Clean architecture

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.

RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.

Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.

Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client.

A knowledge graph of biblical people, places, periods, and passages.

A privacy-first, open-source platform for knowledge management and collaboration.

PaperGraph MCP turns math papers into evidence-grounded reading maps for AI agents: extract results, trace proof evidence, plan reading order, and review external dependencies without guessing.

Renku provides a platform and tools for reproducible and collaborative data analysis.