Wormhole FAQs

Question 1

What is Wormhole and what problem does it solve?

Accepted Answer

Wormhole provides a shared memory layer for AI coding agents like Claude Code, GitHub Copilot, and Cursor. It solves the problem of context loss, ensuring agents stay synchronized across different tools and tasks during collaborative development.

Question 2

Which AI coding agents are compatible with Wormhole?

Accepted Answer

Wormhole is designed to integrate with AI coding agents that support the MCP (Multi-Agent Communication Protocol) standard, including Claude Code, GitHub Copilot, and Cursor. It supports integration with multiple subagents within the same tool or across different AI tools entirely.

Question 3

What are the core features of Wormhole for developers?

Accepted Answer

Key features include Universal Logging for any action, Session Management with isolation and history, Token Optimized output for efficiency, Conflict Detection for concurrent file edits, and Stale Event Rejection to filter outdated file modifications.

Question 4

How does Wormhole ensure agents always have the latest project context?

Accepted Answer

Wormhole uses Universal Logging to capture all agent actions and decisions. Critically, its Stale Event Rejection feature validates file edits against the current project state, automatically filtering out outdated information through intelligent fuzzy matching, so agents always work with accurate context.

Question 5

Can Wormhole help manage complex, multi-agent workflows?

Accepted Answer

Yes, Wormhole's Session Management allows for named work sessions with isolated contexts, enabling you to manage multiple subagents or parallel tasks efficiently. It also offers Event Tagging and easy ways to retrieve recent activity, simplifying complex workflow tracking.

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