
Azkg
- 2 repo stars
- Updated October 19, 2025
- witt3rd/claude-plugins
Maintain a Zettelkasten knowledge graph automatically with an MCP server, specialized agents, and workflow hooks.
About
AZKG is an agent-maintained Zettelkasten knowledge graph backed by an MCP server, specialized agents, and workflow hooks that keep notes and links current automatically. A developer uses it to give an agent persistent, structured memory and to automate note-taking and knowledge organization across sessions.
- Agent-maintained Zettelkasten knowledge graph
- Bundled MCP server
- Workflow hooks and specialized agents
Azkg by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
/plugin marketplace add witt3rd/claude-plugins/plugin install azkg@witt3rd-claude-pluginsAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| repo stars | ★ 2 |
|---|---|
| Last updated | October 19, 2025 |
| Repository | witt3rd/claude-plugins ↗ |
What it does
Maintain a Zettelkasten knowledge graph automatically with an MCP server, specialized agents, and workflow hooks.
README.md
Agentic-ZKG Plugin
Agent-maintained Zettelkasten Knowledge Graph for Claude Code
🚧 Status: In Development - Phase 1 implementation underway
Overview
This plugin implements the Agentic-ZKG paradigm - agent-maintained knowledge graphs with conversational interface.
Features
19 Slash Commands
Core Knowledge Management (6):
/create-note [topic]- Research and create with auto-linking/search-notes [query]- Find notes by keyword/expand-graph [note]- Discover missing relationships/learning-path [target]- Generate prerequisite sequence/graph-note [file]- View relationships/refresh-topic [file]- Update with latest info
Content Ingestion (4):
/process-pdf <pdf_url_or_path>- Extract PDF content and create knowledge graph notes/scrape-url <url>- Scrape web content and create knowledge graph notes/youtube-transcript <youtube_url>- Download YouTube transcripts and create notes/telegram-next-message- Process Telegram saved messages for knowledge capture
Maintenance (3):
/conform-note- Restructure notes to question-oriented format/rename-note- Rename notes and update wikilinks/graph-validate- Run validation checks
Analysis (2):
/graph-stats- Display knowledge graph statistics/graph-moc- Display MOC information
Granular Operations (2):
/graph-add-relationship- Add typed bidirectional relationships/update-note- Update note metadata
Shared Methodology:
- All content ingestion commands use question-oriented content synthesis
- Follows methodology in
_shared_content_synthesis.md - Ensures consistent note structure across all sources
MCP Server
Exposes knowledge graph as MCP resources and tools:
- Resources:
kg://notes,kg://note/{file},kg://relationships/{file} - Tools:
search_knowledge,find_related,get_learning_path
Architecture
Markdown-first - No JSON graph, markdown is source of truth:
- Wikilinks
[[note]]→ implicit relationships - YAML frontmatter → metadata
- "Related Concepts" sections → typed relationships
- MOC files → thematic organization
Installation
/plugin marketplace add witt3rd/claude-plugins
/plugin install azkg@witt3rd
Links
License
MIT
Command Documentation
For complete command specifications, implementation details, and usage examples, see:
COMMANDS.md - Comprehensive command reference with:
- All 19 command specifications
- Tier organization (Core, Content Ingestion, Maintenance, Analysis, Granular)
- Tool usage (Read, Write, Edit, Grep, Glob, Bash)
- Rationalization and recommendations
- Future command proposals
Quick Reference
Commands are organized by usage frequency:
Tier 1 - Core (Daily): create-note, search-notes, expand-graph, learning-path, graph-note, refresh-topic
Tier 1.5 - Content Ingestion (As Needed): process-pdf, scrape-url, youtube-transcript, telegram-next-message
Tier 2 - Maintenance (Weekly): conform-note, rename-note, graph-validate
Tier 3 - Analysis (Monthly): graph-stats, graph-moc
Tier 4 - Granular (Rarely): graph-add-relationship, update-note