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infinite-agents-public/infinite_variants/infinite_variant_6/MANIFEST.md

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Infinite Variant 6 - File Manifest

Complete listing of all files in this variant with descriptions.

Directory Structure

infinite_variant_6/
├── .claude/
│   ├── commands/
│   │   ├── infinite-stateful.md
│   │   ├── resume.md
│   │   ├── status.md
│   │   └── reset-state.md
│   ├── settings.json
│   └── state/
│       └── README.md
├── specs/
│   └── example_spec.md
├── templates/
│   ├── run_state.json
│   ├── url_tracker.json
│   └── iteration_metadata.json
├── docs/
│   └── state_management_guide.md
├── validators/
│   └── check_state_consistency.sh
├── example_output/
│   ├── visualization_1.html
│   └── example_state.json
├── state_manager.py
├── README.md
├── CLAUDE.md
└── MANIFEST.md

File Descriptions

Commands (.claude/commands/)

infinite-stateful.md

Purpose: Main orchestration command with state management Size: ~17KB Key Features:

  • Persistent state in JSON files
  • Self-consistency validation with 6 checks
  • URL deduplication tracking
  • Graceful interruption handling
  • Resume capability
  • Batch-based parallel agent deployment
  • Wave management for infinite mode

Phases:

  1. State initialization & recovery
  2. Specification analysis
  3. Directory reconnaissance
  4. Iteration planning with state awareness
  5. Parallel agent coordination with state updates
  6. Wave management for infinite mode
  7. Final state validation & reporting

resume.md

Purpose: Resume interrupted runs Size: ~3KB Key Features:

  • Locate and validate state file
  • Pre-resume consistency checks
  • Load original parameters
  • Continue from last iteration
  • Post-resume verification

status.md

Purpose: View run status and validate consistency Size: ~5KB Key Features:

  • List all available runs
  • Detailed run information
  • Self-consistency validation (6 checks)
  • Recent iterations display
  • Resumability status
  • URL usage summary
  • Validation history

reset-state.md

Purpose: State management utilities Size: ~6KB Modes:

  • --verify: Check integrity with detailed report
  • --rebuild: Reconstruct state from output files
  • --delete: Remove state file with backup

Configuration

.claude/settings.json

Purpose: Tool permissions and custom instructions Size: ~0.5KB Allowed Tools:

  • Write, Edit, Read
  • Bash, Task
  • Glob, Grep
  • WebFetch, WebSearch

Custom Instructions: State management principles

State System

.claude/state/README.md

Purpose: State system documentation Size: ~8KB Content:

  • State file format and schema
  • Field descriptions
  • Status values
  • State operations (read, update, validate)
  • Self-consistency validation explanation
  • Recovery scenarios
  • Best practices
  • File management
  • Troubleshooting
  • Advanced usage

Specifications

specs/example_spec.md

Purpose: Example specification with state integration Size: ~7KB Content:

  • Interactive data visualization requirements
  • File naming pattern
  • Content structure with metadata
  • Real data integration
  • Web learning integration
  • Interactivity requirements
  • Quality standards
  • State management integration
  • Progressive difficulty levels
  • Success criteria

Templates

templates/run_state.json

Purpose: Template for run state files Size: ~0.3KB Structure: Complete state schema with example values

templates/url_tracker.json

Purpose: Template for URL tracking Size: ~0.2KB Structure: URL strategy tracking with difficulty levels

templates/iteration_metadata.json

Purpose: Template for iteration records Size: ~0.2KB Structure: Single iteration metadata structure

Documentation

docs/state_management_guide.md

Purpose: Comprehensive usage guide Size: ~21KB Sections:

  1. Introduction (with self-consistency explanation)
  2. Quick start
  3. Core concepts
  4. State structure
  5. Self-consistency validation
  6. Commands reference
  7. Use cases (4 detailed scenarios)
  8. Best practices
  9. Troubleshooting
  10. Advanced topics

Validators

validators/check_state_consistency.sh

Purpose: Bash script for state validation Size: ~6KB Features:

  • 6 independent validation checks
  • Self-consistency scoring
  • Colored output (pass/fail indicators)
  • Detailed reporting
  • Action recommendations
  • Exit codes based on consistency

Checks:

  1. Schema validation
  2. File count matching
  3. Iteration record consistency
  4. URL uniqueness
  5. File existence
  6. Timestamp validity

Utilities

state_manager.py

Purpose: Python utilities for state operations Size: ~10KB Classes:

  • StateManager: Main state management class

Methods:

  • create_run_id(): Generate new run ID
  • load_state(): Load state from file
  • save_state(): Save state atomically
  • create_state(): Create new state structure
  • add_iteration(): Add iteration record
  • compute_file_hash(): Compute file hash
  • validate_consistency(): Self-consistency validation
  • rebuild_from_files(): Reconstruct state
  • get_next_iteration(): Determine next iteration
  • is_url_used(): Check URL usage
  • get_available_urls(): Get unused URLs

CLI Commands:

  • list: List all runs
  • validate <run_id>: Validate consistency
  • info <run_id>: Show run information

Example Output

example_output/visualization_1.html

Purpose: Example output demonstrating spec compliance Size: ~8KB Features:

  • Self-contained HTML file
  • D3.js visualization (temperature trends)
  • Interactive tooltips
  • Responsive design
  • Embedded metadata for state tracking
  • Web source attribution
  • Techniques learned documentation

Demonstrates:

  • D3 scales (linear, time)
  • Smooth transitions
  • Interactivity
  • Proper metadata embedding
  • State integration

example_output/example_state.json

Purpose: Example of actual state file Size: ~0.8KB Content:

  • Complete state structure
  • Single iteration record
  • Validation metadata
  • All required fields

Documentation Files

README.md

Purpose: Project overview and quick start Size: ~14KB Sections:

  • Innovation explanation
  • Self-consistency principle
  • Quick start guide
  • Architecture overview
  • Commands reference
  • Usage examples (4 scenarios)
  • Comparison with base loop
  • Self-consistency validation details
  • Extension points
  • Best practices
  • Troubleshooting
  • Use cases
  • Web learning explanation

CLAUDE.md

Purpose: Instructions for Claude Code Size: ~9KB Sections:

  • Project overview
  • Key commands with examples
  • Architecture & structure
  • State management principles (6 principles)
  • Implementation details
  • Usage patterns
  • Best practices (for users, spec authors, command authors)
  • Troubleshooting
  • Web learning integration
  • Extension points
  • Success criteria

MANIFEST.md

Purpose: This file - complete file listing Size: ~5KB Content: Detailed description of every file in variant

File Count Summary

  • Total Files: 18
  • Commands: 4
  • Config: 1
  • Documentation: 5
  • Templates: 3
  • Utilities: 2
  • Examples: 2
  • Validators: 1

Total Size Estimate

Approximately 110 KB of content across all files.

Key Technologies

  • Languages: Markdown, Python, Bash, HTML/JavaScript
  • Frameworks: D3.js (for examples)
  • Data Format: JSON (state files)
  • Validation: Multi-method self-consistency

Dependencies

Required

  • Python 3.6+ (for state_manager.py)
  • Bash shell (for validator script)
  • jq (optional, for validator script - Python fallback available)

Optional

  • Modern web browser (for viewing example outputs)
  • D3.js (CDN-loaded, for visualizations)

Usage Workflow

  1. Create/Edit Spec → specs/example_spec.md
  2. Run Loop → /infinite-stateful command
  3. Monitor → /status command
  4. Validate → check_state_consistency.sh script
  5. Resume → /resume command (if needed)
  6. Rebuild → /reset-state --rebuild (if needed)

State Files Location

Runtime State: .claude/state/run_*.json

These files are created during execution and are not included in the repository by default. Each run creates its own state file.

Customization Points

Add Commands

  • Create new .md files in .claude/commands/
  • Follow existing command structure
  • Update settings.json if needed

Extend State Schema

  • Modify templates in templates/
  • Update state_manager.py validation
  • Document changes in .claude/state/README.md

Add Validators

  • Create scripts in validators/
  • Follow self-consistency principle
  • Document in state_management_guide.md

Custom Specs

  • Create new files in specs/
  • Follow example_spec.md structure
  • Ensure metadata embedding
  • Document state integration

Version Information

  • Variant Number: 6
  • Innovation Focus: State Management with Self-Consistency
  • Base Pattern: Infinite Agentic Loop
  • Created: 2025-03-10
  • Status: Complete and functional

Learning Applied

Self-Consistency Prompting:

  • Source: AI prompting research on multiple sampling and majority voting
  • Application: State validation with 6 independent checks
  • Result: High-confidence validation through consensus

Key Insight: The principle of multiple independent approaches + majority voting generalizes beyond language models to any system requiring reliable validation.

Related Variants

This variant builds on the base infinite loop pattern and adds state management. It could be combined with:

  • Web-enhanced variants (for progressive learning)
  • Quality evaluation variants (for output scoring)
  • Template-based variants (for structured generation)

Maintenance

Regular Tasks

  • Clean old state files (30+ days)
  • Backup important runs
  • Validate state consistency
  • Update documentation

State Cleanup

# Remove old states
find .claude/state -name "run_*.json" -mtime +30 -delete

# Backup current states
tar -czf state_backup.tar.gz .claude/state/

Support

For questions or issues:

  1. Review README.md
  2. Check state_management_guide.md
  3. Run validation script
  4. Check .claude/state/README.md
  5. Review CLAUDE.md

License

Part of the Infinite Agents project demonstrating Claude Code capabilities.