Skip to main content
Glama
Filipe-Soares-de-Almeida

MemAI

by Filipe-Soares-de-Almeida
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to MemAI

No user-submitted related servers found.

    Related Servers

    • NeuralVaultCore

      getobyte
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that provides persistent long-term memory for AI agents via local SQLite storage with low token overhead, enabling memory storage, retrieval, and management across sessions.
      1
      MIT

    • Agentic Memory

      ArkaAiAdmin
      A
      license
      A
      quality
      B
      maintenance
      MCP server for persistent, cross-session, local-first memory for AI agents, storing memories as Markdown files with SQLite indexing for hybrid search.
      24
      Apache 2.0

    • agenticmemory

      jyswee
      A
      license
      Not graded
      quality
      B
      maintenance
      Persistent memory MCP server for AI agents that stores, recalls, and searches conversation history, key-value context, and long-term entries across sessions with semantic search and FIFO queues.
      75
      1
      -

    • heropen

      Koradji77
      A
      license
      Not graded
      quality
      A
      maintenance
      A local memory server for AI agents that stores and retrieves information via MCP, keeping all data in SQLite on your machine.
      1
      Apache 2.0
    Deploy Server
    RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 24 tools

    Disambiguation5/5

    Each tool targets a distinct action or memory type. Even though there are multiple retrieval tools (e.g., get_memory, list_by_domain, recall, search, pulse), their specific purpose (single record, domain-listing, note-only, hybrid, session warm-up) is clearly differentiated. No two tools overlap in functionality.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (e.g., edit_memory, list_domains), but a few are bare nouns (anti_pattern, checkpoint, handoff, note, reasoning) or verbs (forget, help, pulse). While the pattern is not perfectly uniform, it remains predictable and readable.

    Tool Count4/5

    With 24 tools, the server is on the upper end of the typical range, but the scope—comprehensive memory management with CRUD, search, linking, optimization, and curation—justifies the number. It is well-scoped, and each tool adds clear value.

    Completeness5/5

    The tool set covers the full lifecycle of memory management: writing various types (note, reasoning, checkpoint, anti_pattern, handoff), reading via multiple methods, updating (edit, link, set_confidence), deleting (soft and hard), deduplication, optimization workflow, and help. No obvious gaps are present.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources