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Glama

Related Servers

Alternatives to Agent Conductor

Related Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Multi-server MCP aggregator with 266 skills, an orchestration runtime, fleet/claims coordination, and hook-driven session governance for autonomous Claude/Cursor/Gemini agent runs.
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves prompts and resources from a release-pinned content bundle.
    25
    1,356
    10
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables offline AI agent automation with embedded local LLM (Qwen 2.5), sandboxed file operations through AgentFS, and dynamic skill loading. Exposes capabilities via MCP with tri-state safety guards for private, air-gapped environments without network connectivity or API costs.
    -

TDQS

A4.1/5.0

Scored across 7 tools

Disambiguation5/5

Each tool targets a distinct responsibility: contract compilation, verification gate retrieval, skill discovery, skill body loading, decision gating, adversarial review, and engine health. Even the two decision tools are clearly separated by depth: one is a lightweight pre-check, the other is a full adversarial pass.

Naming Consistency4/5

The naming generally follows a resource_prefix_action pattern (contract_load, skills_list, decision_gate), but there are minor inconsistencies: contract_verification and engine_status are noun-phrase rather than verb-action, and skills_list/skill_load mix plural and singular forms. The pattern is still readable and predictable overall.

Tool Count5/5

Seven tools is well-scoped for the server's purpose: two for contracts, two for skills, two for decision support, and one operational health probe. Each tool fills a distinct slot with no obvious bloat or redundancy.

Completeness4/5

The core workflows are covered: contracts can be loaded and verified, skills can be discovered and loaded, and decisions can be gated and adversarial-tested. Minor gaps exist, such as the lack of a tool to explicitly execute verification gates or persist/review decision outcomes, but agents can work around these with shell commands and existing server behavior.

Maintenance

ActivityMaintained
ResponsivenessNo issues