Problem solved

Developers using AI coding agents like Codex or Claude Code often want to run multiple sessions simultaneously to tackle different tasks or explore alternative solutions. However, doing so in a single repository can lead to conflicts and chaos. Crystal solves this problem by automatically setting up separate git worktrees for each agent session, providing isolated environments where each AI can work independently. This allows developers to parallelize their AI-assisted development without worrying about interference or merge conflicts until they choose to integrate the results.

Use cases

• Running parallel AI coding agents to fix multiple bugs simultaneously.
• Exploring different implementation strategies for a feature by assigning each to a separate agent.
• Offloading boilerplate code generation to AI agents while focusing on core logic.
• Coordinating large-scale refactoring by distributing work across multiple AI agents.
• Using as a session manager to keep track of multiple ongoing AI coding tasks.

Audience

• Developers

Pros

• Enables true parallel execution of AI coding agents.
• Uses git worktrees for clean, conflict-free isolation.
• Supports popular AI agents (Codex, Claude Code).
• User-friendly desktop interface for session management.
• Open source with active development.

Cons

• Limited to specific AI agent backends (Codex and Claude Code).
• Requires familiarity with git worktrees for advanced use.
• Early stage software (version 0.3.5) with potential stability issues.