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by mkreyman • Uncategorized
A persistent context management MCP server for Claude AI coding assistants to preserve work history and progress across sessions.
Maintain persistent context across long or multi-session coding workflows.
Organize context by topics or channels and track progress with checkpoints.
Collaborative memory sharing across multiple Claude AI sessions.
MCP Memory Keeper is a Model Context Protocol server designed to provide persistent context management for Claude AI coding assistants. It helps maintain context across sessions by saving and restoring conversation history, decisions, and progress, preventing loss of information during long or complex coding workflows. Features include checkpointing, channel-based organization, full-text search, git integration, and smart compaction to ensure critical information is never lost. This enables collaborative and multi-session workflows with shared memory.
Start a new context session with optional project directory for git tracking
List recent sessions
Set the project directory for git tracking in the current session
Save a context item with optional category, priority, and privacy setting
Retrieve saved context by key, category, or session with enhanced filtering. Returns all accessible items (public items + own private items)
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