Claude Session Memory Indexer MCP Connector for Claude
A+Preserves and retrieves cross-session learnings using deterministic hashing and Jaccard similarity.
This MCP server solves the problem of lost context in AI coding sessions. It indexes and retrieves cross-session learnings by mapping developer insights to specific project contexts using deterministic hashing. By using get_project_context, the system ensures that insights are isolated to the correct project. You can use index_learning to save new patterns or commands, and query_memories to retrieve them using keyword matching and Jaccard similarity. This allows your AI assistant to remember build commands, debugging patterns, and project conventions across different sessions.
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