CLI tool for parsing .kgn/.kge files, ingesting them into a PostgreSQL knowledge graph DB, and generating AI agent context packages via subgraph queries
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# kgn <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/kgn-banner-dark.png"> <source media="(prefers-color-scheme: light)" srcset="assets/kgn-banner-light.png"> <img alt="KGN — Knowledge Graph Node" src="assets/kgn-banner-light.png" width="100%"> </picture> [](https://github.com/baobab00/kgn/actions/workflows/ci.yml) [](https://pypi.org/project/kgn-mcp/) [](https://pypi.org/project/kgn-mcp/) [](LICENSE) [](https://codecov.io/gh/baobab00/kgn) [](https://github.com/baobab00/kgn/actions) [](https://github.com/astral-sh/ruff) > **Manage your AI agent's knowledge — parse, store, query, and collaborate.** KGN is a developer-friendly CLI + MCP server for teams building with AI agents. Write knowledge nodes in simple YAML+Markdown files (`.kgn`), define relationships between them (`.kge`), and let KGN handle storage, similarity search, conflict detection, and multi-agent task handoffs — all backed by PostgreSQL + pgvector. **Hybrid architecture:** PostgreSQL is the local working engine; GitHub is the long-term source of truth. Export, commit, and push in one command. --- ## Table of Contents - [Architecture](#architecture) - [Why KGN?](#why-kgn) - [Quick Start](#quick-start) - [MCP Server (Claude Integration)](#mcp-server-claude-integration) - [Multi-Agent Orchestration](#multi-agent-orchestration) - [CLI Commands](#cli-commands) - [File Formats](#file-formats) - [Development](#development) - [Tech Stack](#tech-stac…
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