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- 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.
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| .. | ||
| _50_memorize_fragments.py | ||
| _51_memorize_solutions.py | ||