CarryMem
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- FlicenseNot gradedqualityBmaintenanceUniversal memory for AI agents and tools. Save, organize and search context anywhere.2-
- AlicenseNot gradedqualityDmaintenanceProvides a persistent, vendor-neutral memory layer that allows AI tools and agents to share context and knowledge across different platforms while maintaining local data ownership. It enables users to store, recall, and manage structured memories through hybrid semantic search and automated context assembly.9 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceA persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.3MIT
- AlicenseNot gradedqualityCmaintenanceA vendor-neutral, user-sovereign memory layer for AI agents and tools, providing persistent, cross-tool memory that users fully own and control.5 npmApache 2.0

sovseal MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceProvides zero-knowledge, local-first persistent memory for AI assistants with on-device embeddings, cross-platform capture, and zero-RTT semantic recall.7Apache 2.0- AlicenseNot gradedqualityCmaintenanceUniversal AI memory layer that provides cross-client, cross-repo context management with semantic search, automatic code indexing, and session management. Enables persistent developer memory across projects with typed memories, graph-based relationships, and RAG-powered retrieval.5MIT
TDQS
Scored across 31 tools
Most tools target distinct resources/actions, but several pairs overlap heavily: my_profile vs get_memory_profile and list_rules vs my_rules could both be selected for 'show me what is remembered/saved'. suggestive_rules vs promote_rules and match_rules vs inject_rules also share intent, though descriptions help differentiate their outputs.
The majority follow a readable verb_noun snake_case pattern (classify_message, recall_memories, add_rule, delete_rule), but there are notable deviations: my_profile, my_rules, health_check, and shortest_path are noun-style names. The mixed conventions are still navigable but not fully predictable.
31 tools is a large surface for an agent to reason over, well above the generally well-scoped range. The count is justified by multiple subdomains (memory, classification, knowledge, rules, graph, consolidation), but the overall footprint feels heavy and would benefit from consolidation.
The surface covers most major lifecycle operations: memory ingest, recall, forgetting, rule CRUD, knowledge indexing/search, graph queries, and consolidation. However, direct memory update is missing (users must forget+re-store), and knowledge base deletion/reindexing is not exposed, leaving noticeable gaps.