shared-memory

To share project knowledge across different AI coding agents, you can use a shared memory protocol that defines a common data format, enabling cross-agent coordination and consistent data retention among tools like Claude Code, Cursor, and Codex.

Yes, you can use shared memory to coordinate tasks between Cursor and Claude Code, as the protocol facilitates cross-agent compatibility by defining common access conventions for exchanging project-related information without requiring external dependencies.

You save project goals and glossary terms for cross-agent collaboration by running the 'save to shared memory' command, which stores the content in a public layer accessible to various AI agents.

To retain sensitive project knowledge for AI agents without exposing it publicly, use the private personal memory layer provided by the shared memory protocol, which separates sensitive information from the public shared memory.

No, cross-agent knowledge sharing does not require external dependencies for core functionality, as the shared memory protocol operates independently by defining a common data format and access conventions.

Your AI agent loses project context when switching between different coding tools because they lack a shared memory standard, a problem solved by implementing a common data format for project knowledge retention and cross-agent coordination.