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Alternatives to openmem

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent, scoped shared memory for collaborating AI agents, with tools for storing observations, semantic recall, and handoff workflows. Backed by PostgreSQL and exposed through MCP.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
      11 npm
      48
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Persistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.
      3 npm
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.
      11 npm
      MIT

    TDQS

    A3.8/5.0

    Scored across 9 tools

    Disambiguation4/5

    The tools have distinct purposes, and the descriptions explicitly separate raw memory search (mh_search), synthesized answers (mh_ask), and pre-generated answers (mh_tool). Some risk remains because these three query-ish tools overlap in intent, but the guardrails in the descriptions are strong enough to guide selection.

    Naming Consistency4/5

    All tool names use the consistent lowercase mh_ prefix and mostly follow a verb-based pattern like write, update, search, get, ask, and status. The noun-style exceptions mh_service, mh_tool, and mh_tools_list are minor deviations, and tools_list also reverses the expected order slightly.

    Tool Count5/5

    Nine tools is well-scoped for a memory hub: core memory operations (write/get/search/update), specialized lookups (service/tool), and meta/status tools are all represented. Each tool has a clear role and none feel redundant.

    Completeness4/5

    The surface covers create, read, update, query, status, and specialized lookup workflows well. There is no explicit delete or conflict-resolution tool even though mh_status surfaces pending conflicts, but this may be intentional and can be worked around via archive/update and category changes.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues