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1cbecc241e
- Add FAISS index integrity checks using a SHA-256 sidecar (`index.faiss.sha256`) and write hash on save.
- Harden `memory_load` filter evaluation with input validation (allowlist + length cap) and `simple_eval(..., functions={})`.
- Add score-preserving similarity search and use real relevance scores in consolidation (including best-score dedupe by memory id).
- Prevent utility-model context overflows by truncating memorize input history for fragments and solutions.
25 lines
737 B
Markdown
25 lines
737 B
Markdown
## memory tools
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use when durable recall or storage is useful
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- `memory_load`: args `query`, optional `threshold`, `limit`, `filter`
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- `memory_save`: args `text`, optional `area` and metadata kwargs
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- `memory_delete`: arg `ids` comma-separated ids
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- `memory_forget`: args `query`, optional `threshold`, `filter`
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notes:
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- `threshold` is similarity from `0` to `1`
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- `filter` is a metadata expression (e.g. `area=='main'`)
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- confirm destructive changes when accuracy matters
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example:
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~~~json
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{
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"thoughts": ["I should search memory for relevant prior guidance."],
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"headline": "Loading related memories",
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"tool_name": "memory_load",
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"tool_args": {
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"query": "tool argument format",
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"threshold": 0.7,
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"limit": 3
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}
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}
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~~~
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