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Web4AI

The Web4 Multiagent Workplace

A workspace for orchestrating AI agent teams using tmux, OOSH, and the WODA information processing pattern.

Core Concepts

Concept Purpose
WODA What→Overview→Details→Actions: processing petabytes with short context windows
OOSH Object-Oriented Shell: death to flags, Tab = documentation
CMM Capability Maturity Model: L1 (ad-hoc) → L5 (optimizing)
Peer Monitoring Agents can't read their own TUI; peers read each other

Workspace Structure

.claude/agents/       # Agent role definitions (SKILL.md files)
components/OOSH/      # OOSH framework variants (dev, prod, platform-specific)
session/              # Active session state, tasks, context files
session/woda/         # WODA session story and chapters

Quick Start

# OOSH commands (no flags, Tab discovers everything)
./oo new myscript              # Create new script
./config list                  # Show configuration
./log level 5                  # Set debug verbosity

# Multi-agent via tmux
otmux pane.split               # Split pane
hiveMind team.status           # Check all agents
claudeCode context.read <pane> # Measure peer's context health

Stories

Story Description Chapters
WODA Session Story Learning tmux, OOSH, and multi-agent orchestration 39 chapters
CMM4 Journey Building a CMM4 context-aware Claude team 15 chapters

Key Files

  • CLAUDE.md — Agent workflow, tmux setup, per-prompt checklist
  • components/OOSH/dev.claude/docs/ — OOSH architecture docs

Philosophy

Before you assume, test. Before you wrap, try without the wrapper. Before you declare, verify.

Neither agent alone can self-care. Together, both can. That's interdependence by design.

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