agent-memory-mcp
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Alternatives to agent-memory-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides a local, persistent long-term memory service for MCP-compatible AI agents, enabling them to store, search, and recall information across sessions.19 PyPI1GPL 3.0
- AlicenseNot gradedqualityBmaintenanceA local-first MCP memory server providing persistent, searchable memory for AI agents, powered by SQLite.1 npm1Apache 2.0
- AlicenseNot gradedqualityFmaintenanceLocal-first, auditable memory for AI agents. Provides durable context for MCP hosts with SQLite storage, CLI, and MCP tools for memory management.2Apache 2.0
- AlicenseCqualityAmaintenanceLocal-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.4025 PyPI1MIT
- FlicenseNot gradedqualityBmaintenanceProvides a self-hosted shared memory service that lets AI agents capture and recall durable facts, decisions, and context across multiple tools and MCP-capable clients.3-
- AlicenseNot gradedqualityCmaintenanceMCP server for zero-config, traceable long-term memory using SQLite, enabling agents to store, search, trace, and monitor memory with tools like memory_store, memory_search, and memory_health.1MIT
TDQS
Scored across 27 tools
Each tool targets a distinct resource-action pair: memory, entity, relation, graph, or maintenance operations are clearly separated. Even overlapping capabilities like memory_search, memory_search_hybrid, and memory_at_time are differentiated by lexical vs hybrid vs historical graph query semantics.
The dominant pattern is resource_action (memory_add, entity_update, relation_search) with clear prefixes for each subsystem. Minor deviations like memory_at_time, memory_maintenance, and memory_search_hybrid break the strict pattern but are still readable and predictable.
27 tools is above the comfortable range and will likely overload agents browsing the tool surface. The breadth is understandable for a memory/entity/relation/graph system, but the count still feels heavy for practical agent use.
The toolset covers the full lifecycle for memories, entities, and relations, including CRUD, search, import/export, maintenance, and graph traversal. Soft deletion, restore, duplicate handling, merging, enrichment, and temporal queries are all present, leaving no obvious dead ends.