feat(memory): système de mémoire projet model-agnostic (L14, LOT A+B+C)
Base de connaissance persistante par projet, indépendante de tout modèle/CLU
et de git. Cadrage archi en §14.5 (ARCHITECTURE.md), cycle Archi→Dev→Test.
LOT A — étage 1 (.md, source de vérité)
- domaine: entité Memory (+ MemorySlug, MemoryType, MemoryFrontmatter,
MemoryLink, MemoryIndexEntry), liens [[slug]], index MEMORY.md dérivé
- port MemoryStore + MemoryError, adapter FsMemoryStore (.ideai/memory/)
- application: 7 use cases (Create/Update/List/Get/Delete/ReadIndex/
ResolveLinks), From<MemoryError> for AppError
- app-tauri: commandes + DTO, events MemorySaved/MemoryDeleted
- suppression de la variante morte DomainError::MalformedFrontmatter
LOT B — rappel adaptatif (étage 1)
- port MemoryRecall + MemoryQuery, adapter NaiveMemoryRecall (troncature
au budget de tokens, court-circuit budget-0), use case RecallMemory
LOT C — étage 2 vectoriel (structure complète, zéro dépendance lourde)
- port Embedder + EmbedderError, profils déclaratifs EmbedderProfile/
EmbedderStrategy (embedder.json)
- VectorMemoryRecall (cosinus, cache .ideai/memory/.index/ gitignoré)
- AdaptiveMemoryRecall (bascule pure should_use_vector), défaut none
- HashEmbedder (déterministe, tests), StubEmbedder (onnx/server/api)
Tests: 57 binaires verts, build + clippy --workspace sans warning.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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//! JSON files in the app data directory (machine-local, outside any project).
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mod context;
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mod embedder;
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mod memory;
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mod profile;
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mod project;
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mod skill;
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mod template;
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mod vector;
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pub use context::IdeaiContextStore;
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pub use profile::FsProfileStore;
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pub use embedder::{embedder_from_profile, HashEmbedder, StubEmbedder};
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pub use memory::{index_token_size, FsMemoryStore, NaiveMemoryRecall};
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pub use profile::{FsEmbedderProfileStore, FsProfileStore};
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pub use project::FsProjectStore;
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pub use skill::FsSkillStore;
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pub use template::FsTemplateStore;
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pub use vector::{should_use_vector, AdaptiveMemoryRecall, VectorMemoryRecall};
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