Smara Memory MCP Server
Related Servers
Alternatives to Smara Memory MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceProvides human-like memory dynamics for AI assistants where memories naturally fade over time unless reinforced through use, mimicking the Ebbinghaus forgetting curve. Enables automatic saving, searching, and management of contextual information with temporal decay algorithms.1136AGPL 3.0
- AlicenseAqualityCmaintenanceProvides persistent, cross-session memory for AI agents, letting them store, search, and manage memories with tools like remember, recall, forget, list, summarize, and import/export.8MIT
- FlicenseNot gradedqualityDmaintenanceProvides persistent, causal memory for AI agents with semantic recall, causal tracking, and importance-based forgetting through MCP tools.-
- 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.20 npmMIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.MIT
- AlicenseAqualityCmaintenancePortable cognitive memory for AI agents with semantic search, decay, and deduplication.814 npm2MIT
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no overlap. For example, 'list_memories' shows stored memories, 'search_memories' performs semantic search, 'store_memory' creates new memories, 'update_memory' modifies existing ones, 'delete_memory' removes memories, 'get_user_context' retrieves formatted context, and 'get_usage' monitors system usage. The descriptions reinforce these unique roles, eliminating any ambiguity.
All tool names follow a consistent verb_noun pattern using snake_case, such as 'list_memories', 'search_memories', 'store_memory', 'update_memory', 'delete_memory', 'get_user_context', and 'get_usage'. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
With 7 tools, this server is well-scoped for a memory management system. The count is appropriate as it covers essential operations like CRUD (create, read, update, delete), search, context retrieval, and usage monitoring without being excessive or insufficient. Each tool serves a clear, necessary function in the domain.
The tool set provides complete coverage for memory management, including storing, listing, searching, updating, deleting, retrieving context, and monitoring usage. There are no obvious gaps; it supports full lifecycle management from creation to deletion, with additional utilities for context and system health, ensuring agents can handle all typical workflows without dead ends.