N3MemoryCore MCP — Lite (Ephemeral)
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- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI coding tools to store and recall persistent memories across sessions and projects, with keyword and semantic search backed by a local SQLite database.752 npm70Apache 2.0
- AlicenseAqualityCmaintenanceProvides persistent, searchable memory for AI agents across any MCP-compatible client, storing project context, user preferences, and session learnings locally in SQLite with tools to save, retrieve, search, and manage them.124 npmMIT

Kagura Memory Cloudofficial
AlicenseNot gradedqualityBmaintenanceProvides AI agents and teams with self-hosted adaptive memory, combining hybrid search and a self-improving neural memory graph to enable precise recall and serendipitous discovery across MCP-compatible clients.13Apache 2.0- AlicenseAqualityBmaintenanceMCP-native persistent memory layer for AI agents across Claude Code, Cursor, VS Code, and OpenClaw. Powered by hybrid vector search, BM25, and cross-encoder reranking with a published 73.1% LoCoMo benchmark accuracy.4Apache 2.0
- AlicenseNot gradedqualityBmaintenanceProvides persistent memory for AI coding agents, enabling them to save, search (hybrid vector/BM25/concept graph), list sessions, and forget memories via MCP tools.11 npmApache 2.0
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TDQS
Scored across 7 tools
Each tool has a distinct purpose: bulk delete, single delete, list, context recall, index repair, save, and search. No two tools overlap in functionality.
All tool names follow a verb_noun pattern (e.g., save_memory, delete_memory). Even 'recall_thread' and 'delete_memories_by_session' adhere to this convention with minor additions, maintaining consistency.
With 7 tools covering create, read (list/search), delete (single/bulk), context recall, and maintenance, the count is well-scoped for a Lite ephemeral memory server.
The set covers save, list, search, delete, and context recall, but lacks a direct get-by-ID tool. While search can retrieve memories, the absence of a dedicated fetch tool is a notable gap.