Incremental audio production with duration mismatch handling, adaptive stem extension, and pre-mix alignment verification
日本語の概要は準備中です。原文の説明を表示しています。
Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making changes.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Review the user's memory landscape and produce a clear report of proposed changes, grouped by action type. Do not apply changes until the user approves them.
Read OPENSPACE.md and OPENSPACE.local.md from the project root if they exist. Review auto-memory from the memory section and MEMORY.md; use memory_read for topic files when needed. Note team memory only as unavailable unless this deployment explicitly has a team memory backend.
Success criteria: you have the contents of all available memory layers and can compare them.
For each substantive auto-memory entry, determine the best destination:
| Destination | What belongs there | Examples |
|---|---|---|
OPENSPACE.md | Project conventions and instructions for OpenSpace that all contributors should follow | use uv not raw pip; API routes use kebab-case; test command is pytest; prefer functional style |
OPENSPACE.local.md | Personal instructions specific to this user or machine, not applicable to other contributors | concise responses; explain tradeoffs; do not auto-commit; run tests before committing |
| Auto-memory topic | Durable cross-session user, feedback, project, or reference memory that does not belong in static project instructions | user role, durable feedback, external reference pointers, uncertain but useful context |
| Stay put | Working notes, temporary context, or entries that do not clearly fit elsewhere | session-specific observations, uncertain patterns |
Important distinctions:
OPENSPACE.md and OPENSPACE.local.md contain instructions for the agent, not arbitrary external-tool preferences.Success criteria: each entry has a proposed destination or is flagged as ambiguous.
Scan across all layers for:
OPENSPACE.md or OPENSPACE.local.md.MEMORY.md entries that contain content that belongs in a topic file.Success criteria: all cross-layer issues are identified.
Output a structured report grouped by action type:
If auto-memory is empty, say so and offer to review OPENSPACE.md for cleanup.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Incremental audio production with duration mismatch handling, adaptive stem extension, and pre-mix alignment verification
日本語の概要は準備中です。原文の説明を表示しています。
Incremental audio production with duration alignment handling, per-stem verification, and adaptive extension strategies
日本語の概要は準備中です。原文の説明を表示しています。
Create serverless API proxy endpoints that hide API keys and provide a unified backend for the dashboard frontend. Designed for Vercel deployment.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end audio production workflow with stems, effects, archiving, and verification
日本語の概要は準備中です。原文の説明を表示しています。
Handle cascading data retrieval tool failures by falling back to embedded knowledge generation
日本語の概要は準備中です。原文の説明を表示しています。
Fallback pattern for executing Python code when execute_code_sandbox fails
日本語の概要は準備中です。原文の説明を表示しています。