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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- AlicenseNot gradedqualityCmaintenanceBridges AI assistants with Ableton Live, enabling real-time control, offline project analysis, version tracking, and rack/preset parsing for music production workflows.MIT
- FlicenseNot gradedqualityCmaintenanceControl Ableton Live using natural language via Claude Code, with music theory engine for progressions, project persistence, and song cloning.-
- 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
- AlicenseNot gradedqualityDmaintenanceEnables natural language control over Ableton Live for generating musical patterns, melodies, and full song arrangements. It also provides tools for sample searching and mixing assistance through an OSC-based connection with Claude Desktop.1MIT
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
ActivityMaintained
ResponsivenessNo issues