Skip to main content
Glama

Related Servers

Alternatives to MangoMe

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      A machine-enforced workflow protocol for AI coding agents that eliminates false progress. Tasks require verifiable evidence to close, while decisions, assumptions, and open questions persist in a versioned reasoning graph for seamless agent handoffs. Designed to keep deep, long-running projects coherent across sessions, agents, and months.
      39
      27
      AGPL 3.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to run persistent, budgeted work sessions with dependency graphs, human decision queues, required validation, and clean handoffs for autonomous or human-in-the-loop execution.
      16
      MIT
    • F
      license
      B
      quality
      C
      maintenance
      Enables autonomous software development by managing requirements, architecture, task dependency DAGs, isolated worker workspaces, execution, contract and integration verification, and checkpoints. It provides observable evidence gates so AI workers can build and verify software against reproducible contracts.
      28
      -
    • A
      license
      B
      quality
      A
      maintenance
      An append-only coordination memory for multi-agent and human work, backed by SQLite, with a local dashboard and acceptance contracts that enforce integrator review before work is considered accepted.
      43
      1
      MIT

    TDQS

    C2.5/5.0

    Scored across 7 tools

    Disambiguation2/5

    Three read-oriented tools overlap heavily: mangome_observe, mangome_query and mangome_status all describe reading MangoMe state, differing only in vaguely stated scope ('context' vs 'identity/graph/truth/work state' vs 'bounded status'). mangome_work and mangome_control also blur, since both concern progressing/operating on governed work. An agent could easily misselect among these.

    Naming Consistency4/5

    Every tool uses the same 'mangome_' prefix in snake_case, giving a predictable and readable set. The only minor deviation is that the suffixes mix verb forms (observe, verify, query) with noun forms (effect, work, control, status), which slightly reduces predictability.

    Tool Count5/5

    Seven tools sits squarely in the well-scoped 3-15 range. Each represents a plausible distinct facet of the domain without obvious filler or a missing major operation.

    Completeness4/5

    The surface covers read/query/status, work progression, effect recording, control, and verification, which appears to span the governed-work lifecycle end to end. The heavily abstract descriptions leave some uncertainty about edge operations (e.g., identity creation or effect retraction), so a minor gap is possible.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues