wikifier 0.3.0

Agent-first, zero-dependency, self-maintaining codebase documentation & change tracking system

Wikifier v0.3

Agent-first • Zero-dependency • LLM-operated codebase wiki

Wikifier turns any codebase (tiny scripts → large monorepos) into a living, token-efficient map that LLMs/agents operate autonomously.

GitHub: https://github.com/IronAdamant/wikifier
PyPI: pip install wikifier (coming very soon)

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🚀 Get Started in 30 Seconds

Option 1: Via pip (Recommended)

pip install wikifier

# Then run
wikifier init
wikifier check-changes

Option 2: From source

git clone https://github.com/IronAdamant/wikifier.git
cd wikifier
chmod +x wikifier.sh

# Point it at your codebase
nano monitored_paths.txt

./wikifier.sh init
./wikifier.sh check-changes

Then open index.html in your browser for the live dashboard.

Mandatory Rule for Every LLM / Grok Build Session

Copy this into the start of every new prompt when working in a Wikifier-managed project:

You are operating inside a Wikifier v0.3 project.

MANDATORY FIRST STEPS:
1. Run: wikifier check-changes
2. Read file_health.md + pending_updates.md
3. Prioritise 🔴 Red → 🟡 Yellow items
4. For every code edit: wikifier record-change "path/to/file" "I did X because Y"
5. After updating the wiki summary: wikifier mark-green "path/to/file"
6. Re-validate before finishing

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What Wikifier Gives You

• Per-file Documentation Health Matrix — 🟢 Green / 🟡 Yellow / 🔴 Red status with reasons
• Semantic Change Logging — record-change "file" "I did X because Y" (the "why", not just the "what")
• Background Heartbeat Monitor — Passive monitor & loop keeps everything fresh while you sleep
• Automated Journal + Categorized Issues — Dated entries + Logged_issues/{simple,moderate,high,critical}/...
• Beautiful Static Dashboard — index.html with live health lights, Mermaid graphs, and one-click command reference
• MCP / Agent Ready — Full skills/run.md contract so Grok, Claude, Cline, etc. can drive it natively
• True Zero Dependencies — Pure Bash + PowerShell. Works on any machine, no Docker, no Node, no Python packages.

This is agent-first. LLMs operate the system via shell commands. Humans just watch the dashboard.

Core Commands

Command	Purpose
wikifier check-changes	Incremental mtime scan + health update
wikifier record-change <file> "reason"	Log why you made an edit (required)
wikifier mark-green <file>	Mark wiki summary as accurate after editing
wikifier monitor &	Background heartbeat (30s polling)
wikifier update-maps	Rebuild library.md + Mermaid dependency graph
wikifier health	Show current Documentation Health Matrix

Full reference → skills/run.md

Quick Links

• spec.md — Immutable user requirements
• Basis-v0.3.md — Implementation reference & data formats
• TRADEOFFS.md — Why we made the design choices we did
• index.html — Open this in a browser for the live dashboard

Differentiation

Unlike heavy "LLM Wiki" approaches (e.g. Karpathy-style personal knowledge bases), Wikifier is the ultra-light, shell-native implementation:

• Per-file health matrix with clear Red/Yellow/Green workflow
• Semantic record-change intent logging for future self-review
• True background monitor + zero external dependencies
• Native cross-platform (Linux/macOS/Windows via PowerShell)
• Designed from day one to be driven by LLMs via MCP/tools

License: MIT — fork freely and use in any project.

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Built for agents, by agents, with just bash and stubbornness.