Skip to main content
Glama
lna-lab

distill-kura

by lna-lab
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to distill-kura

No user-submitted related servers found.

    Related Servers

    • kura

      kisaragi-mochi
      A
      license
      A
      quality
      B
      maintenance
      Provides long-term memory for agents with meaning-based recall, evidence-gated writing, and separate stores per agent mode.
      6
      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
      -

    • Semantic Memory MCP

      Sceat
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.
      10 npm
      MIT
    • 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
      12 npm
      MIT

    • Memory MCP Server

      gregpriday
      F
      license
      Not graded
      quality
      C
      maintenance
      An agentic memory system that enables AI assistants to store, search, and manage persistent memories with semantic understanding using natural language instructions.
      -
    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

    A4.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: reading a specific memory, recalling by meaning, viewing the index, health checking, listing available kuras, and switching the active kura. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tools follow a consistent pattern: a 'kura_' prefix followed by a lowercase verb (read, recall, map, doctor, list, use). The naming is uniform, predictable, and readable.

    Tool Count5/5

    Six tools is well-scoped for a memory management server. Each tool covers an essential operation without redundancy, fitting the typical ideal range of 3-15 tools.

    Completeness4/5

    The set covers all core retrieval and management operations: listing, switching, recalling, reading, mapping, and health checking. It could benefit from a write/update operation, but the server appears intentionally read-focused, so the surface is nearly complete for its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources