Skip to main content
Glama

Related Servers

Alternatives to jarvis-orb

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Persistent memory for AI agents — organized by time and space. Important memories get promoted, noise decays naturally, and related knowledge clusters into a browsable topic tree. Fully automatic.
      27
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Provides AI with persistent memory management including short-term memory (FIFO queue), long-term memory (graph-based storage with associations), and thought process management with multiple cognitive modes for continuous learning and reasoning.
      24
      10 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to persist and retrieve memories via a personal knowledge graph, with tools for emotional intelligence, CRM, life management, social features, self-training, and autonomous insights.
      220 npm
      6
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
      26
      23
      Apache 2.0
    • 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
      -

    TDQS

    B3.3/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct operation: entity tools cover CRUD-like actions and relating, while memory tools handle saving, searching, and verifying. There is no functional overlap, ensuring an agent can easily distinguish them.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., entity_create, memory_save). The naming is uniform and predictable, making it easy to infer tool purpose from the name.

    Tool Count5/5

    With 7 tools covering two domains (entities and memories), the count is well-scoped. Each tool serves a necessary function, and the number is neither overwhelming nor insufficient for the apparent scope.

    Completeness4/5

    The tool set covers core operations for entities (create, read, update, relate) and memories (save, search, verify with supersede/contradict). Only deletion is missing, which is a minor gap but does not severely hinder core workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues