A
licenseA
qualityC
maintenanceProvides human-like memory dynamics for AI assistants, enabling natural forgetting and reinforcement of memories over time.
13
1
MIT
Mnemex
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AlicenseAqualityCmaintenanceProvides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.2528 npmMIT- AlicenseBqualityCmaintenanceProvides persistent memory for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.5028 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.14-
- 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
- AlicenseNot gradedqualityDmaintenanceProvides persistent memory for AI assistants, enabling context retention across sessions through hybrid search and memory management tools.1MIT
TDQS
A3.7/5.0
Scored across 11 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no significant overlap. For example, cluster_memories groups similar memories, consolidate_memories merges them, create_relation links memories, and touch_memory reinforces a single memory. The descriptions clearly differentiate each tool's function, making misselection unlikely.
Naming Consistency4/5
The naming follows a consistent verb_noun pattern throughout (e.g., cluster_memories, create_relation, promote_memory), with all tools using snake_case. The only minor deviation is 'gc' (garbage collection), which is an acronym rather than a descriptive verb_noun, but it's a common term in this context and doesn't break overall consistency.
Tool Count5/5
With 11 tools, the count is well-scoped for a memory management system. Each tool serves a specific purpose in the lifecycle of memories (e.g., save, search, reinforce, promote, garbage collect), and none feel redundant or unnecessary for the domain.
Completeness4/5
The toolset provides comprehensive coverage for memory management, including creation (save_memory), retrieval (open_memories, search_memory, search_unified), reinforcement (touch_memory), organization (cluster_memories, create_relation), promotion (promote_memory), and cleanup (gc). The only minor gap is that consolidate_memories is noted as 'NOT YET IMPLEMENTED', but this is explicitly documented, and other tools cover related functionality.
Maintenance
ActivityInactive
ResponsivenessNo issues