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Sync Claude Code context and shared memory across machines for continuous work.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "claude-sync" yet — see the docs or source repo.
Sync the key decisions, coding conventions, known issues, and next steps from the current project into shared memory so I can continue development from Claude Code on another machine.
A reusable project context record is created and synced for seamless continuation on another device.
Organize the repository’s common architecture patterns, naming conventions, testing strategy, and deployment notes, then save them into shared context for reuse by other Claude Code instances.
Structured team knowledge entries are saved so AI sessions on different machines follow consistent implementation patterns.
Sync the error cause, attempted fixes, confirmed findings, and unfinished follow-up tasks from this debugging session into shared memory so I can continue later on another device.
A debugging summary and follow-up task list are created and synced as shared context for continued tracking.
Manage Claude Code sessions with hot restart and context compaction commands.
Give Claude Code persistent memory, checkpoints, and project sync across sessions.
Securely run Claude Code CLI via MCP for tasks, memory, and IDE integration.
Remotely control Claude Code instances to run commands and manage files.
Share project memory files over MCP across Claude Code and Claude.ai.
Give Claude Code persistent memory and semantic context retrieval across sessions.