zeus-beads

Track tasks and dependencies in a git-backed Dolt graph database.

1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Aveer/OpenZeus --skill zeus-beads
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zeus-beads
Source: https://github.com/Aveer/OpenZeus/tree/main/skills/zeus-beads
Command: npx skills add https://github.com/Aveer/OpenZeus --skill zeus-beads

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @beads/bd, dolt.

What problem does it solve?

This skill solves the issue of AI agents losing context between sessions by providing a git-backed, dependency-aware graph tracker that maintains persistent memory of tasks, blockers, and project progress.

Core Features & Use Cases

  • Dependency Tracking: Manage complex task relationships including blocks, parent-child, and discovered-from dependencies.
  • Persistent Memory: Maintain project state across compactions and sessions using a git-backed Dolt SQL database.
  • Use Case: When working on a large feature, use this skill to define an epic, break it into subtasks, and automatically track which tasks are blocked by others, ensuring the AI agent always knows what work is ready to be performed next.

Quick Start

Initialize the beads issue tracker in your current project directory to begin managing tasks with dependency awareness.

Frequently Asked Questions about zeus-beads

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

FAQPage Schema
How do I maintain AI agent task tracking context across multiple coding sessions?

Persistent AI agent task tracking across sessions requires a git-backed graph database that stores dependencies and project progress. This approach ensures session context recovery so the agent knows what work is ready next without losing memory during compactions.

What is dependency-aware issue tracking for AI coding agents?

Dependency-aware issue tracking is a task management system that maps complex relationships like blocks, parent-child, and discovered-from dependencies. It uses a graph database to visualize task relationships and automatically identify which tasks are ready to be performed.

Do I need Dolt and git to use dependency-aware task tracking for AI agents?

Yes, dependency-aware task tracking for AI agents requires the Dolt SQL database for persistent storage and a git-backed architecture. You also need the beads CLI and the opencode-beads plugin for full integration and session context recovery.

How do I track blocked tasks and subtasks for a large feature in AI project management?

To track blocked tasks and subtasks, you define an epic, break it into subtasks, and map dependency relationships like blocks or parent-child. The dependency graph automatically identifies which tasks are blocked and which work is ready to be performed next.

What's the best way to recover session context for AI coding agents after memory loss?

The best way to recover session context for AI coding agents is using a git-backed Dolt SQL database that maintains persistent memory of tasks, blockers, and project progress. This prevents context loss across compactions and multiple coding sessions.