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Pull request overview
Adds a new CLI subcommand to remove deprecated memories from the RST source files, intended to help keep the workspace clean and then regenerate needs.json to reflect the removals.
Changes:
- Introduces
memory prune(dry-run by default;--yesto apply) and wires it into the CLI parser. - Adds
prune_deprecated_from_rst()to scan RST files and remove directive blocks marked:status: deprecated. - Runs
memory rebuildafter pruning to regenerateneeds.json.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 6 comments.
| File | Description |
|---|---|
src/ai_memory_protocol/rst.py |
Adds the RST pruning implementation that removes deprecated directive blocks. |
src/ai_memory_protocol/cli.py |
Adds the prune CLI command and integrates it with argument parsing and rebuild flow. |
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…ilure, fix help text
…on dependency) - 6 tests: removes only deprecated, preserves headers, handles split files, count_deprecated, empty workspace, zero deprecated - count_deprecated_in_rst scans RST files directly instead of requiring needs.json - cmd_prune no longer calls load_needs
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Summary
memory prune --yescommand that removes deprecated directive blocks from RST files--yesto confirm)Test plan
memory pruneshows count without--yesmemory prune --yesremoves 145 deprecated entries (924 -> 779 memories)