MCP Memory Server
Related Servers
Alternatives to MCP Memory Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides AI assistants with persistent semantic memory and knowledge graph capabilities using PostgreSQL and vector embeddings. It enables cross-session storage, hybrid search, and complex relationship tracking for enhanced contextual awareness.6 npm1MIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that provides persistent memory capabilities for AI systems, enabling true continuity of consciousness across conversations through episodic, semantic, procedural, and strategic memory types.246-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides AI agents with persistent memory capabilities through Mem0, allowing them to store, retrieve, and semantically search memories.684MIT
- AlicenseNot gradedqualityAmaintenanceA knowledge-graph-based persistent memory server for the Model Context Protocol, storing entities, observations, and relations in SQLite with semantic vector search and temporal versioning.13 npmMIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that gives AI assistants persistent, scoped memory by saving and retrieving short notes (mementos) across sessions and projects, enabling dynamic learning and context injection without heavy dependencies.82MIT

Lspace MCP Serverofficial
FlicenseAqualityFmaintenanceAn open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.78-
TDQS
Scored across 9 tools
Most tools have distinct purposes focused on specific operations in the knowledge graph (e.g., create_entities vs. delete_entities, add_observations vs. delete_observations). However, 'open_nodes' and 'search_nodes' could potentially overlap in function—both involve accessing nodes, though 'open_nodes' seems to target specific nodes by name while 'search_nodes' uses queries, which might cause some confusion for an agent.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., add_observations, create_entities, delete_relations). The verbs are clear and descriptive, and there are no deviations in naming conventions across the set, making it predictable and easy to understand.
With 9 tools, this server is well-scoped for managing a knowledge graph, covering key operations like creation, deletion, reading, and searching. The count is appropriate for the domain, providing a comprehensive set without being overwhelming or too sparse.
The tool set offers strong coverage for knowledge graph management, including CRUD operations for entities, relations, and observations, plus utilities for reading and searching. A minor gap is the lack of update tools (e.g., update_entities or update_relations), which might require workarounds, but core workflows are well-supported.