Multiple Task Trackers
Seamlessly integrate with JSON files, Beads issue tracker, or Beads-BV for graph-aware task prioritization.
Great autonomous execution starts with great planning. Ralph TUI helps you create structured, dependency-aware task breakdowns through interactive AI collaboration.
Interactively create comprehensive Product Requirements Documents through natural conversation with AI.
Transform PRDs into dependency-aware, right-sized tasks that agents can complete in a single iteration.
Ralph TUI orchestrates autonomous AI agents through a continuous four-step cycle, processing tasks until your entire backlog is complete.
Pick next task from the issue tracker based on priority and dependencies
Generate smart prompts from templates with minimal relevant context injection
Analyze output to determine completion status and next actions
Run autonomous AI coding agent with real-time progress monitoring
Everything you need to orchestrate autonomous AI agents at scale, from flexible task tracking to deep execution tracing.
Seamlessly integrate with JSON files, Beads issue tracker, or Beads-BV for graph-aware task prioritization.
Run Claude Code, OpenCode, or custom agents with full plugin architecture and real-time output streaming.
Define reusable Handlebars templates with context injection for consistent, high-quality agent prompts.
Resume interrupted work seamlessly with automatic state saving and intelligent context recovery.
Monitor agent progress, task status, and system metrics through an elegant terminal interface.
Trace and debug nested agent calls with full visibility into execution paths and decision trees.
Composable commands, scriptable automation, and full keyboard navigation for terminal power users.
Automatic dependency resolution and parallel execution scheduling based on task graph analysis.
Designed to be faithful to Geoffrey Huntley's original Ralph approach — autonomous agents working through task backlogs.
Join developers who ship faster with AI-powered task orchestration. Set up in minutes, run autonomously for hours.