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Related Servers

Alternatives to team-memory

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent memory for AI coding assistants, storing and retrieving architectural decisions, patterns, and solutions across sessions using semantic search, while also offering git integration for commit messages and code expertise mapping.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.
      104
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Provides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.
      16
      61 npm
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding assistants to contribute to and query a team-shared project memory, storing human-confirmed decisions with source and scope so work can continue across machines.
      12
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.
      MIT

    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: recall searches, save writes, get_archive fetches full archives, draft_save/publish manage pipeline drafts. The only ambiguous pair is memory_recall and memory_context, which both retrieve relevant knowledge but differ in trigger scenario, so an agent might occasionally choose the wrong one.

    Naming Consistency4/5

    All tools share a consistent memory_ prefix and most use a verb_noun pattern (get_archive, save, recall, archive_upsert, draft_publish, submit_response). memory_context breaks the pattern by using only a noun, and memory_save is a bit vague without an object, but the overall convention is predictable.

    Tool Count5/5

    Nine tools is well-scoped for a team memory server covering search, save, archives, drafts, feedback, context, and response submission. Each tool serves a distinct part of the memory lifecycle without excessive granularity or missing core operations.

    Completeness4/5

    The tool surface covers the main workflows: saving, recalling, retrieving full archives, managing archive upserts, pipeline draft handling, feedback, and context. Minor gaps exist—there is no explicit delete or update operation for saved knowledge experiences, and no direct get-by-id for non-archive entries—but agents can work around these via recall and archive upsert.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues