N3MemoryCore MCP — Lite (Ephemeral)
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Alternatives to N3MemoryCore MCP — Lite (Ephemeral)
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- AlicenseAqualityBmaintenanceProvides 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.126 npmMIT

Kagura Memory Cloudofficial
AlicenseNot gradedqualityAmaintenanceProvides 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.12Apache 2.0- AlicenseAqualityAmaintenanceMCP-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
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.29MIT
- AlicenseAqualityCmaintenanceGives any MCP client long-term semantic memory it can add to, search, and delete entries from, using local embeddings and a local Chroma database with no API keys or cloud accounts. Everything runs entirely offline on the user's machine, keeping stored memories private and requiring no local LLM.3MIT
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.