Marketplace for the Knowledge Management Graph
npx claudepluginhub technomensch/knowledge-graphStructured knowledge capture, lesson-learned documentation, and cross-session memory for Claude Code projects. Includes KG entries, ADRs, meta-issue tracking, chat extraction, and profile-file rule capture.
technomenschStructured knowledge capture, lesson-learned documentation, and cross-session memory for Claude Code projects.
Version: 0.2.3-beta Status: Beta Release — FTS5 Relocation, Issue Tracking UX, ECC Compatibility
Documentation available at - https://technomensch.github.io/knowledge-graph/
This is a platform-agnostic knowledge graph that was developed entirely using Gemini and Claude, leveraging very specific context and detailed natural language prompting.
It is designed to take chats sessions with large language models (LLMs) and turn them into a searchable, institutional knowledge, library.
The cool thing is, it helps users grab the important stuff (lessons learned, architecture decisions, recurring patterns, etc...) inside the development workflow without having to stop chatting.
Then, users can easily look up that information not only in their current chat, but also in any other chat session, even if they switch to a totally different LLM!
The key lies in the simple approach of embedding the knowledge directly within the project itself. This ensures the knowledge is always immediately available whenever and wherever the project is opened. Should the library become excessively large, users have the option to transfer it to an external third-party via MCP servers.
A Claude Code plugin that provides:
Paste INSTALL.md into any AI assistant for automated setup on any platform — Claude Code, Cursor, Windsurf, Continue.dev, JetBrains, VS Code, Aider, or local LLMs.
Claude Code users: Run claude plugin install kmgraph or load with claude --plugin-dir /path/to/knowledge-graph, then run /kmgraph:init.
See Getting Started Guide for prerequisites and troubleshooting.
Quick Reference: See CHEAT-SHEET.md for one-page quick reference guide Detailed Guide: See COMMAND-GUIDE.md for comprehensive command documentation with learning paths
First-time users need these for basic operation:
/kmgraph:init — Initialize new knowledge graph with wizard-based setup/kmgraph:capture-lesson — Document lessons learned with git metadata tracking/kmgraph:status — View active knowledge graph info and quick reference/kmgraph:recall — Search across all memory systems (lessons, decisions, knowledge)Active users leverage these for regular workflows:
/kmgraph:update-graph — Extract knowledge graph entries from lessons/kmgraph:add-category — Add a new category to existing knowledge graph/kmgraph:session-summary — Create summary of current chat session/kmgraph:list — Display all configured knowledge graphs/kmgraph:switch — Change active knowledge graph/kmgraph:check-sensitive — Scan knowledge graph for potentially sensitive information/kmgraph:config-sanitization — Interactive wizard for pre-commit hook setup/kmgraph:extract-chat — Extract chat history from Claude and Gemini logs/kmgraph:update-doc — Update plugin/project documentation (--user-facing) or KG contentPower users use these for complex workflows:
/kmgraph:meta-issue — Initialize meta-issue tracking for complex multi-attempt problems/kmgraph:start-issue-tracking — Initialize issue tracking with structured docs and Git branch/kmgraph:update-issue-plan — Sync knowledge graph → plan → issue → GitHub/kmgraph:link-issue — Manually link existing lesson or ADR to GitHub issue/kmgraph:archive-memory — Archive stale MEMORY.md entries to prevent bloat/kmgraph:restore-memory — Restore archived MEMORY.md entries/kmgraph:sync-all — Automated full sync pipeline (4 steps → 1 command)/kmgraph:handoff — Create comprehensive handoff documentation for transitions, context limits, or onboardingReleased 2026-03-31
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