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Alternatives to Neuron - "Synapse"

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      D
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      An MCP server that provides AI assistants with persistent, semantic memory using Turso for storage and OpenAI for vector search. It enables natural language operations to store, retrieve, and refine information with automatic duplicate detection and quality validation.
      5
      3 npm
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    • A
      license
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      quality
      D
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      An MCP server that provides persistent semantic memory backed by PostgreSQL and pgvector for storing and searching thoughts via vector embeddings. It enables dimensional organization, conflict detection, and historical tracking of facts, decisions, and observations.
      5 npm
      AGPL 3.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Open-source MCP server that gives any LLM long-term memory using a knowledge graph and vector search hybrid. It stores entities, observations, and relationships, enabling semantic recall across sessions with automatic clustering and fail-loud infrastructure.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Persistent semantic memory server for AI assistants via MCP, enabling long-term context retention and semantic search across conversations.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      A lightweight MCP server that provides long-term memory for LLMs by storing and retrieving important facts, decisions, and preferences through smart semantic search and automatic organization.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      A universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.
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    TDQS

    B3.2/5.0

    Scored across 22 tools

    Disambiguation3/5

    There are overlapping purposes among retrieval (get_context, pre_turn, vector_search, find_candidates) and maintenance commands (consolidate, merge, prune), but detailed usage notes help an agent choose. Still, find_candidates vs vector_search and consolidate vs merge are easy to confuse.

    Naming Consistency3/5

    The dominant pattern is lowercase snake_case with verb_noun commands like get_context and store_turn, but names like auto, skill, status, forgotten, dedup, and flash break the convention. The style is readable, but not consistently predictable.

    Tool Count3/5

    22 tools is on the heavy side for a focused memory server, with several that could be merged or hidden behind the core loop (e.g., vector_search/find_candidates, consolidate/merge, status/summary). It is not overwhelmingly large, but it feels padded.

    Completeness4/5

    The core lifecycle is covered well: pre-turn retrieval, post-turn storage, context switching, export, and cleanup. Notable gaps include no explicit restore-from-_graveyard tool and no way to delete or edit a single node/link directly.

    Maintenance

    ActivityActive
    ResponsivenessNo issues