loop-core

loop-core

Terminal-local state management for Ralph-style autonomous loops.

Purpose

Provides file-based state management that avoids Git race conditions in multi-terminal environments. Each terminal has its own state directory, ensuring isolation and immunity to stale data.

Architecture

Claude Code Plugin Structure:

• .claude-plugin/plugin.json - Plugin metadata
• scripts/ - Python code modules
• skills/loop-code/ - Ralph-style autonomous loop skill
• tests/ - Test suite (45 tests, 100% pass rate)

Core Components:

• TerminalStateManager: Manages terminal-local state with atomic writes
• Plan Parser: Extracts tasks from markdown plan files
• Pattern Definitions: Regex patterns for task and state detection

Key Features

• Multi-terminal isolation (each terminal gets its own state directory)
• Atomic writes (temp file + rename pattern)
• PID-based lock files with stale lock cleanup
• No TTL for state (persists until explicitly cleared)

Quick Start

from scripts import TerminalStateManager, parse_plan_tasks

# Initialize state manager for current terminal
manager = TerminalStateManager()

# Read/write state
manager.write_state("current_task", {"id": "TASK-001", "status": "in_progress"})
state = manager.read_state("current_task")

# Parse plan file
tasks = parse_plan_tasks("plan.md")
incomplete_tasks = [t for t in tasks if not t["complete"]]

Note: This is a Claude Code plugin. Import paths use core instead of loop_core.

Documentation

• USAGE_EXAMPLES.md - Comprehensive usage guide with examples
• docs/ralph-worktrees.md - Git worktrees + /ralph-loop workflow for multi-terminal parallel development
• docs/loop-rollout.md - Rollback procedures for Ralph Loop platform
• examples/demo.py - Run the demo: python examples/demo.py
• ARCHITECTURE.md - Technical architecture and integration patterns

/loop-code Skill

The /loop-code skill implements a Ralph-style autonomous development loop using these utilities:

/loop-code path/to/plan.md

Alternative: Use /code path/to/plan.md --loop for integrated loop mode

What it does:

• Parses plan file and extracts tasks
• Executes /code workflow for each incomplete task
• Tracks completion state across iterations
• Exits when both conditions are met:
  • completion_indicators >= 2 (heuristic)
  • EXIT_SIGNAL: true in RALPH_STATUS (explicit LLM signal)

Exit detection: The LLM sets EXIT_SIGNAL: true in the plan's RALPH_STATUS block when it believes all work is complete and verified. This dual-condition gate prevents premature exit.

See: skills/loop-code/SKILL.md for complete documentation

Key Features

Multi-Terminal Isolation

• Each terminal gets its own state directory
• No Git conflicts or race conditions
• Run multiple loops in parallel safely

Atomic State Persistence

• Crash-safe writes (temp file + rename)
• No TTL - state persists until explicitly deleted
• No stale data from expiration

Lock Management

• PID-based ownership with automatic stale cleanup
• Prevents concurrent access to critical sections
• Non-blocking attempts available

Testing

pytest tests/ -v --cov

Standards

• Python 3.14+
• Type hints required
• 80%+ test coverage
• Ruff linting
• Mypy type checking

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Changelog

See CHANGELOG.md for version history.