Skip to main content
Glama
satvik-sahore

agent-memory

by satvik-sahore
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to agent-memory

No user-submitted related servers found.

    Related Servers

    • Memsolus MCP Server by memsolus

      Memsolus MCP Serverofficial

      memsolus
      A
      license
      A
      quality
      D
      maintenance
      Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.
      14
      14 npm
      MIT

    • BuildAutomata Memory MCP

      brucepro
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.
      14
      -
    • memhippo by memhippo

      memhippoofficial

      memhippo
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent, shared memory for AI agents by capturing conversations verbatim, distilling facts and summaries, and enabling retrieval through search, timeline, details, and explicit remember tools.
      MIT

    • Recall

      joseairosa
      A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent, cross-session memory for AI agents, allowing them to store and automatically retrieve information across different conversations and sessions without repeating context.
      9 npm
      175
      MIT

    • AGI MCP Server

      randyandrade
      F
      license
      B
      quality
      D
      maintenance
      Enables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.
      24
      1
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool has a distinct core action: list, recall, remember, and forget. The only potential confusion is between list_user_memories and recall_memories, but the descriptions clearly separate 'all active memories' from 'semantically relevant' retrieval.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: list_user_memories, forget_memory, remember_conversation, recall_memories. The verbs are meaningful and align with their actions.

    Tool Count5/5

    Four tools is a well-scoped size for a memory server, covering ingestion, retrieval, listing, and deletion. Each tool maps to a clear capability without redundant or excessive surface area.

    Completeness4/5

    The set covers the core memory lifecycle: adding memories, recalling them, listing them, and deleting them. A direct get-by-ID or explicit update tool is missing, but remember_conversation's reconciliation covers updates through its ADD/UPDATE/DELETE/NOOP behavior.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources