A
licenseB
qualityD
maintenanceEnables AI-powered music production in Ableton Live through natural language, with tools for composition, arrangement, mixing, and sound design.
52
MIT
KIHACHI Brain
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- FlicenseNot gradedqualityCmaintenanceControl Ableton Live using natural language via Claude Code, with music theory engine for progressions, project persistence, and song cloning.-
- AlicenseNot gradedqualityBmaintenanceEnables controlling Ableton Live through natural language AI assistants, including session and transport control, track and MIDI clip editing, device parameter automation, browser integration, generative MIDI tools, and recording workflows.MIT
- AlicenseAqualityDmaintenanceEnables programmatic control of Ableton Live using natural language to manage session transport, tracks, MIDI clips, and device parameters. It also integrates ElevenLabs for AI-generated audio and provides a high-performance framework for real-time performance tools.16MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to control Ableton Live through natural language by querying tracks, analyzing sessions, and exporting stems via AbletonOSC integration.91MIT
TDQS
B3.2/5.0
Scored across 12 tools
Disambiguation4/5
Most tools map cleanly to distinct pipeline stages: spec generation, review, audio generation, project planning, Ableton planning, and memory operations. The pairs execute_live_request/request_live_execution and create_ableton_plan/prepare_ableton_handoff create mild ambiguity, but their descriptions clarify intent. Overall, an agent can usually select the right tool without much trouble.
Naming Consistency4/5
All tools except hello follow a clear snake_case verb_noun pattern using domain-specific objects like songspec, project, plan, audio, and memory. hello is a minor exception, reading more like a interjection than a verb_noun action, but it is semantically a health check. This is very close to fully consistent naming.
Tool Count5/5
Twelve tools is well within the expected range for a focused domain and maps to a coherent music-generation lifecycle. Each tool serves a meaningful role whether that is orchestration, individual pipeline stages, or memory access. There is no obvious bloat or redundancy.
Completeness4/5
The surface covers the main workflow: generate, review, audio generation, project planning, Ableton planning, approval-gated execution, memory storage/retrieval, and orchestration. Gaps like direct retrieval/update/delete of remembered artifacts or editing existing plans would require workarounds but are not dead ends. Core user journeys are coherent and actionable.
Maintenance
ActivityNo data
ResponsivenessSyncing