Johnny Decimal Zettelkasten

This project is a compounding knowledge system ("Second Brain") that manages multiple Obsidian vaults, combining Johnny Decimal for structural organization with Zettelkasten for emergent meaning, augmented by AI librarian agents for maintenance.

Second Brain: A Compounding Knowledge System

Most notes are transient—written and forgotten. This system makes knowledge compound over time. Each note you write becomes part of an interconnected network where insights build upon each other, and every hour of thinking leaves something behind that makes future thinking easier.
This project manages multiple Obsidian vaults, each combining Johnny Decimal for structural organization with Zettelkasten for emergent meaning through connections. Vault maintenance is augmented by AI librarian agents, and the vault serves as a persistent memory engine (AGNT system) for four agent CLIs: Claude Code, Codex CLI, Gemini CLI, and OpenCode. All four share the same Obsidian MCP backend, jabez007/obsidian-vault-mcp v2, published to npm as @jabez007/obsidian-vault-mcp. Each harness's setup script installs that backend in its own host while repo-specific agent behavior stays in this template.

Upgrading from an earlier version of this template? The backend was renamed from gemini-obsidian to obsidian-vault-mcp in v2, and a one-time RAG index rebuild is required. See MIGRATION.md. Your vault conventions and note content are unaffected.

Core Philosophy

1. Johnny Decimal (Structure)

Johnny Decimal provides predictable file location through hierarchical numbering. Every note has an unambiguous home. The structure eliminates the paralysis of infinite filing options and makes retrieval predictable.

  • Systems: Top-level domains (LIFE, WORK, TECH).
  • Areas: Major groupings within a system (1–F).
  • Categories: Subdivisions within an area (1–F).

2. Zettelkasten (Connection)

Zettelkasten creates emergent insight through explicit links between notes. Links carry meaning—they explain why connections exist.

  • Atomic: Each note contains one atomic idea.
  • Evergreen: Durable knowledge units designed for long-term value.
  • Claim-titled: Titles express complete thoughts (e.g., "Writing forces sharper understanding") rather than labels ("Writing").

3. The Librarian (Automation)

The hierarchy handles organization; the association handles insight. The AI Librarian bridges the gap by auditing link health, suggesting evergreen extractions, and scaffolding new systems.

4. Agent Memory (Evolution)

The vault is not just for you; it is a "World Model" for your AI agents.

  • Procedural Memory: Agents store behavioral rules and preferences in the AGNT system.
  • Episodic Memory: Agents log session state in JRNL/AGNT/, allowing them to "resume" work across sessions and computers.

Quick Start

Follow these steps to initialize your first vault and enable Agent Memory:

  1. Install Obsidian: Download from obsidian.md.

  2. Install your AI CLI — any one of:

  3. Run the matching setup script:

    cd johnny-decimal-zettelkasten
    ./.claude/setup-environment.sh      # Claude Code
    ./.codex/setup-environment.sh       # Codex CLI
    ./.gemini/setup-environment.sh      # Gemini CLI
    ./.opencode/setup-environment.sh    # OpenCode
    

    Run one per harness you use; they are independent and share the same vault config. Each targets a vault inside vaults/<vault-name>/ (default: vaults/example/) and persists the selection to ~/.obsidian-mcp.config.json. Because the backend ships on npm, there is no clone-and-build step — every host launches it with npx -y @jabez007/obsidian-vault-mcp@2.

  4. Initialize the actual vault in Obsidian:

    • Open vaults/<vault-name>/ as the Obsidian vault, not the repository root.
    • Enable Bases and Backlinks core plugins.
  5. Configure Root Index: Create vaults/<vault-name>/00.00.md and add the following:

    # Vault Index

    ![[JDEX_00.00.base]]

  6. Configure your first Base:

    • Right-click vaults/<vault-name>/_SYS/New base → Name it JDEX_00.00.
    • Open the file, click the Filter icon, and add: Property: file.name | Operator: ends with | Value: .00.00.
    • Set the view to Cards.

The AGNT System (Agent Memory)

The AGNT system is a dedicated Johnny-Decimal system (Prefix: AGNT) that separates machine telemetry from human knowledge.

  • AGNT/10-Procedural_Rules/: Stores atomic, declarative rules (e.g., AGNT.11.01-Pytest-Preference.md).
  • JRNL/AGNT/: Stores chronological session logs (YYYY-MM-DD-HHMM.md).

The Boot/Shutdown Protocol

The boot context itself is canonical in scripts/agent-memory-context.sh; each harness hook wraps that one script in whatever JSON shape it expects.

HarnessBoot mechanism
Claude CodeSessionStart hook in .claude/settings.json.claude/hooks/session-start.sh
Codex CLISessionStart hook in .codex/config.toml.codex/hooks/session-start.sh
Gemini CLIGlobal SessionStart hook installed by the setup script into ~/.gemini/hooks/
OpenCodeNo command-based session hook; AGENTS.md carries the standing rules
  • Shared workflow: every harness should restore context from recent JRNL/AGNT/ logs, query existing procedural rules before acting, and write new durable rules back into AGNT/ when appropriate.

AI-Assisted Vault Maintenance

The Librarian system works identically across all four harnesses. Every agent follows the same doctrine in references/librarian/, and the operating stance is always Proposal-First for structural work: analyze first, then make deliberate vault changes with clear rationale.

Single Source of Truth

Agent policies and doctrine are written once and generated into each harness's native format. This is what keeps four harnesses from drifting apart.

Canonical — edit these:

PathContents
references/librarian/*.mdJohnny-Decimal / Zettelkasten "Constitution"
.agents/skills/librarian-vault-manager/SKILL.mdSkill body
.agents/agents/*.mdThe eight agent policies

Generated — never edit by hand:

.claude/agents/ · .claude/skills/ · .gemini/agents/ · .gemini/skills/ · .opencode/agents/ · .codex/agents/ · .codex/config.toml

./scripts/sync-assets.sh   # regenerate after editing any canonical file

CI reruns the generator and fails the build if generated files drift, so the copies cannot silently diverge.

Agent bodies reference MCP tools through a {{MCP_PREFIX}} placeholder, since each harness namespaces MCP tools differently — mcp__obsidian-vault-mcp__ for Claude Code, mcp_obsidian-vault-mcp_ for Gemini, obsidian-vault-mcp_ for OpenCode, and bare names for Codex.

Specialized Subagents

For complex tasks, the Librarian delegates to specialized experts. All eight exist in every harness, backed by the same MCP tools.

AgentPurposeKey Commands
@librarianGeneral coordination and ID lookups."Where should I put this note?", "Find ID for X"
@vault-auditorLink health and graph connections."Audit links in the example vault", "Find orphans"
@vault-cleanerHygiene, duplicates, and renames."Clean up my inbox", "Check for duplicate notes"
@vault-scaffolderBuilding new JD systems/areas."Create a new WORK system", "Scaffold Area 20"
@daily-reviewerJournal-to-Evergreen crystallization."Review my daily notes from this week"
@vault-synthesizerKnowledge compounding & bridge notes."Synthesize my notes on Topic X", "Any contradictions?"
@source-distillerProcessing articles/transcripts."Process this article into atomic notes"
@flashcard-generatorSpaced-repetition card creation."Generate flashcards for this note"

The Crystallization Principle

Following the "LLM Wiki" philosophy, the @librarian proactively identifies valuable insights during your CLI sessions and suggests "filing them back" into your vault. This ensures that transient chat context becomes durable, searchable knowledge.

System Architecture

ACID Notation

Every evergreen note uses Area, Category, and ID (ACID) notation with a system prefix: SYS.AC.ID.

ComponentDescriptionRange
SYSSystem code2-4 letters (e.g., LIFE)
AArea1-F (Hexadecimal)
CCategory1-F (Hexadecimal)
IDUnique ID01-FF (Hexadecimal)

Example: LIFE.3A.07 (LIFE system, Area 3, Category A, ID 07).

Deviations From Canonical Johnny Decimal

  • Hexadecimal: We use 0-F (16 slots) instead of 0-9 (10 slots) to maximize density.
  • System Prefixes: Allows multiple separate JD systems within one vault.
  • Automated Indexes: Using the Bases plugin to replace manual index maintenance.

Standard Zeros

  • The 00 area is reserved for system meta-information (indexes).
  • SYS.00.00 denotes the index file for a system.
  • 00.00 in the vault root is the master index.

Folder Structure

VAULT/
├── _SYS/
│   ├── JDEX_00.00.base
│   ├── JDEX_LIFE.base
│   └── TMPL/
│       └── Daily.md
├── LIFE/
│   ├── 00-IDX/
│   │   └── LIFE.00.00.md        ← System index
│   ├── 10-Area Name/
│   │   └── 11-Category Name/
│   │       └── LIFE.11.01-Title.md
├── JRNL/
│   └── YYYY/MM/YYYY-MM-DD.md    ← Daily notes
└── 00.00.md                     ← Root index

Naming Conventions

ElementPatternExample
System folderSYS/LIFE/
Area folderA0-Area Name/10-Philosophy/
Category folderAC-Category Name/11-Productivity/
Note fileSYS.AC.ID-Title.mdLIFE.11.01-Title.md

System Index Template

The system index file (SYS.00.00.md) acts as the entry point for a specific system. It links back to the master index and embeds the relevant Base file:

[[00.00]]

# LIFE System Index

Description of this system's purpose.

## Quick Navigation

![[JDEX_LIFE.base]]

Note Template

Every evergreen note MUST begin with a strict YAML frontmatter block for the graph-aware RAG database, followed by a link to its system index to ground it in the hierarchy:

---
entities: [<entity-1>, <entity-2>, <entity-3>]
communities: [<jd-category-or-cluster>]
status: distilled
---

[[LIFE/00-IDX/LIFE.00.00]]

# Descriptive Claim Title

Content expressing a single atomic concept.

Workflow

  1. Daily Capture: Record raw thoughts in JRNL/YYYY/MM/YYYY-MM-DD.md.
  2. Review & Extract: Run @daily-reviewer. When an idea matures, extract it to an evergreen note using the transclusion/embed method (![[links]]) to maintain context without duplication.
  3. Compound & Synthesize: Use @vault-synthesizer to find tensions between notes and create "Bridge Notes" that explore emergent themes.
  4. Audit & Maintain: Regularly run @vault-auditor and @vault-cleaner to keep the "knowledge garden" healthy.

Advanced Deployment & Integration

AI CLI Setup

Every harness reads the same vault config (~/.obsidian-mcp.config.json) and the same MCP backend, so you can mix and match freely.

HarnessSetupReads
Claude Code./.claude/setup-environment.shCLAUDE.md, .claude/agents/, .claude/skills/, .claude/settings.json
Codex CLI./.codex/setup-environment.shAGENTS.md, .codex/agents/, .codex/config.toml, .agents/skills/
Gemini CLI./.gemini/setup-environment.sh.gemini/agents/, .gemini/skills/, global ~/.gemini/hooks/
OpenCode./.opencode/setup-environment.shAGENTS.md, .opencode/agents/, opencode.json

Notes:

  • Claude Code and Codex install the backend as a plugin from the upstream marketplace. Gemini installs it as an extension. OpenCode launches it directly from opencode.json.
  • On the first Codex run, review and trust the repo-local hooks if prompted via /hooks.
  • OpenCode has no command-based SessionStart hook, so the Recent Activity Map is not auto-injected there; AGENTS.md carries the standing rules and agents can read JRNL/AGNT/ on demand.

Cross-CLI Session Compilation

The session compiler reads logs from all four harnesses in one pass — Gemini (~/.gemini/tmp), Codex (~/.codex/sessions), Claude Code (~/.claude/projects), and OpenCode (SQLite at ~/.local/share/opencode/opencode.db, which requires sqlite3 on your PATH).

# Compile the last 7 days and review with the default host (gemini)
./scripts/compile-sessions.sh 7

# Compile a date range and review with a specific host
AI_MEMORY_HOST=claude ./scripts/compile-sessions.sh 2026-08-01 2026-08-06

# Inspect what would be sent, without invoking a model
AI_MEMORY_DRY_RUN=dump ./scripts/compile-sessions.sh 3

AI_MEMORY_HOST accepts gemini (default), codex, claude, or opencode. The legacy path under .gemini/skills/librarian-vault-manager/scripts/compile-sessions.sh remains as a compatibility wrapper.

Dockerized Obsidian

For a consistent environment, use the provided docker-compose.yml.

  1. Set Permissions: Run id -u and id -g and update the PUID/PGID in docker-compose.yml.
  2. Launch: docker compose up -d.
  3. Access: Navigate to https://localhost:3001.

Web Clipper

Capture web content directly into your daily notes.

  1. Install the Obsidian Web Clipper browser extension.
  2. Docker Users: Run ./setup-obsidian-uri.sh on your host.

Anki Integration

  1. Install Anki and the AnkiConnect add-on (code: 2055492159).
  2. Install the Obsidian_to_Anki community plugin.

External Resources

Related

How to Install

  1. Download the ZIP or clone the repository
  2. Open the folder as a vault in Obsidian (File → Open Vault)
  3. Obsidian will prompt you to install required plugins

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Last updated 17d ago

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agent-skillsagentic-aijohnny-decimalzettelkastenzettelkasten-methodology