beads

Manage persistent Git-backed issues for AI agents with dependency tracking.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/zenchantlive/meridian --skill beads-zenchantlive
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: beads
Source: https://github.com/zenchantlive/meridian/tree/main/.claude/skills/beads
Command: npx skills add https://github.com/zenchantlive/meridian --skill beads-zenchantlive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust, Git-backed issue tracker that survives conversation compaction, ensuring persistent memory for complex, multi-session work. It's ideal for tasks with dependencies, blockers, or when context recovery is crucial.

Core Features & Use Cases

  • Persistent Memory: Issues and their history survive conversation compaction and agent restarts.
  • Dependency Management: Track complex relationships between tasks, ensuring correct execution order.
  • Multi-Session Work: Seamlessly resume work across different agent sessions or days.
  • Use Case: Managing a multi-week feature development cycle where tasks have interdependencies and require context recovery after agent downtime or conversation resets.

Quick Start

Use the beads skill to create a new task for implementing user authentication.

Frequently Asked Questions about beads

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain persistent task memory for AI agents across multiple sessions?▼

You can maintain persistent task memory by using a Git-backed issue tracker that survives conversation compaction and agent restarts. This approach ensures multi-session task tracking with dependency management and context recovery.

What is the best way to track task dependencies and blockers for complex AI workflows?▼

Tracking task dependencies and blockers is best handled by linking issues through a persistent tracker. This manages relationships between tasks, monitors blockers, and ensures correct execution order across multi-session workflows.

How does Git integration work for AI agent issue tracking?▼

Git integration for issue tracking works by synchronizing issues and their history with a Git repository. This backs up task state, enabling seamless context recovery and multi-session work without losing previous progress.

Can I resume multi-week feature development after an agent downtime or conversation reset?▼

Yes, you can resume multi-week feature development after downtime because Git-backed issues persist independently of the agent's conversation context. This allows seamless recovery of task history, dependencies, and execution state.

Do I need external databases to manage persistent issues with dependency management?▼

No, you do not need external databases to manage persistent issues with dependency management. The system uses Git synchronization to store task history and relationships locally, surviving without separate database infrastructure.