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Alternatives to jarvis-orb

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    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.
      28
      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
      4 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, classify, promote, synthesize, and retrieve persistent knowledge from sources such as Obsidian vaults, code repos, YouTube transcripts, bookmarks, terminal sessions, and bug fixes. Exposes tiered cold/warm/hot memory with token-optimized search, context briefings, and cross-source synthesis so multiple agents share one compounding brain across sessions.
      14 npm
      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.
      116 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

    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