memstack
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- AlicenseNot gradedqualityDmaintenancePersistent, searchable memory for AI agents over the Model Context Protocol, enabling memory storage, full-text search with BM25 ranking, and retrieval across sessions.9 npmMIT
- AlicenseNot gradedqualityBmaintenancePersistent memory storage using SQLite for AI agents to store, search, update, and manage contextual memory via the Model Context Protocol.Apache 2.0
- AlicenseAqualityAmaintenanceLong-term and multimodal memory for AI agents. Store facts and conversations with add_memory, recall them with search_memories — 8 tools over stdio/SSE/HTTP. Per-character memory isolation, LLM-based semantic deduplication, FAISS + JSON storage, and a fully local option (Ollama, no API key). Drop-in compatible with Mem0.837 PyPI493Apache 2.0

memiofficial
AlicenseNot gradedqualityBmaintenanceGives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.01Apache 2.0- AlicenseNot gradedqualityBmaintenancePersistent memory for AI agents over the Model Context Protocol (MCP).MIT
- FlicenseNot gradedqualityBmaintenanceUniversal memory for AI agents and tools. Save, organize and search context anywhere.2-
TDQS
Scored across 18 tools
Most tools have clearly distinct purposes: store vs process (raw vs enriched), get vs retrieve (by ID vs filtered search), and prune vs purge_actor vs delete. The main potential confusion is between memory_prune, memory_purge_actor, memory_delete, and memory_delete_many, though descriptions clarify scope and irreversibility.
All 18 tools use a uniform memory_ prefix with snake_case verb_noun naming (memory_get, memory_store, memory_prune). Highly predictable and consistent throughout.
18 tools is slightly heavy but each earns its place across store, retrieve, delete, maintenize, export, and health operations. No obvious redundant filler, though a couple of maintenance tools could be consolidated.
Broad lifecycle coverage: store/get/retrieve, delete/purge/prune, export/import, summarize/merge, stats, and health. The one notable gap is a dedicated single-memory content update tool, though merge and touch partially cover edit-like needs.