memstack
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- 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 Mem0.8489Apache 2.0
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- FlicenseNot gradedqualityBmaintenanceUniversal memory for AI agents and tools. Save, organize and search context anywhere.2-
- AlicenseNot gradedqualityCmaintenanceProvides persistent long-term memory for AI agents with semantic search and activation-based decay. Enables AI systems to remember across sessions through layered memory architecture and automatic context-aware retrieval.17 npmMIT
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TDQS
Scored across 18 tools
Most tools have distinct purposes, and descriptions clarify overlaps like process vs store and retrieve vs get. A few pairs (delete/delete_many, prune/purge_actor) are similar but differentiated by scope or strategy.
All tools share the 'memory_' prefix, and most follow a verb_noun pattern. A few nouns like 'health' and 'stats' break the strict verb convention, but the overall style is coherent.
18 tools is slightly above the typical 3-15 range, but each covers a distinct memory operation (CRUD, batch, enrichment, admin, context). The count is justified for a full-featured memory server.
The set covers the full memory lifecycle: creation (store/process), retrieval (get/retrieve), deletion (delete/delete_many/prune/purge_actor), admin (health/stats/export/import), and advanced operations (summarize/merge/compile_context). No significant gaps.