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…erence Enable users to configure embedding models across all providers (tfidf, fastembed, api) via CLAUDE_MEMORY_EMBEDDING_MODEL env var. The resolver now auto-infers the provider from the model name using the registry, so setting just the model name is sufficient. Key changes: - ModelRegistry: known models with dimensions, descriptions, size metadata - FastembedAdapter: dynamic dimensions from registry (was hardcoded 384) - Resolver: model-based provider inference, unified model forwarding - ApiAdapter: registry-backed dimensions (avoids probe API call) - EmbeddingsCommand: CLI for listing models and validating setup https://claude.ai/code/session_01DrjisFD2mvy2nvognHczbd
Replace stubs with real provider instances and real SQLiteStore databases. Fastembed tests use skip pattern (matching benchmarks/) when models can't be downloaded. EmbeddingsCommand tests use real tmpdir databases to verify dimension mismatch detection and database state display. https://claude.ai/code/session_01DrjisFD2mvy2nvognHczbd
check_dimension_compatibility and show_database_state opened SQLiteStore connections but only closed them in the happy path. On exception, the connection would leak. Wrap both in begin/ensure blocks.
…tion Move default model knowledge into ModelRegistry (single source of truth) instead of hardcoding adapter constants in EmbeddingsCommand. Extract with_each_store helper to eliminate duplicated store open/close/ensure loops in show_database_state and check_dimension_compatibility.
Move DB-reading and dimension-checking logic into a focused Inspector class that returns structured Data.define value objects. The command becomes a thin router (173 LOC, down from 239) that formats output. Inspector owns: with_each_store, database_states, dimension_checks. Store connection safety (ensure close) lives in one place now.
Fastembed::SUPPORTED_MODELS is a Hash, so use direct key lookup instead of iterating with find and accessing positional array elements.
…ance Extract resolve_or_skip helper in resolver_spec to eliminate 4 duplicated begin/rescue/skip blocks. Add rubocop disable comment to fastembed allow_any_instance_of (unavoidable: require is called inside initialize before an instance reference exists).
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After testing identical prompts with and without ClaudeMemory, five categories of measurable improvement emerged. Documentation across all user-facing surfaces was updated to reflect these outcomes. instructions_builder.rb (highest leverage): Added proactive_recall_guidance to the MCP server instructions. Instead of passive "Use memory.recall to search facts", now directs Claude to check memory.conventions BEFORE writing code, check memory.architecture BEFORE explaining structure, and check memory.decisions BEFORE refactoring. Addresses the gap where one-shot code generation didn't trigger memory recall (Test #4). README.md: Added "Why It Matters" section with real A/B test results: - Architecture recall: 76-line explanation vs honest refusal - File paths: 8 correct steps vs 3 hallucinated files - Preferences: 7 real preferences vs blank slate - Honest about when memory doesn't help (grep-able questions) Plugin metadata (plugin.json, marketplace.json): Rewrote descriptions from mechanism-focused ("fact extraction, truth maintenance, provenance tracking") to outcome-focused ("recalls architecture without file traversal, follows your patterns, never re-asks what it already learned"). Keywords updated: architecture, conventions, decisions, recall. Gemspec: Summary and description rewritten to lead with outcomes.
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Enable users to configure embedding models across all providers (tfidf,
fastembed, api) via CLAUDE_MEMORY_EMBEDDING_MODEL env var. The resolver
now auto-infers the provider from the model name using the registry, so
setting just the model name is sufficient.
Key changes:
https://claude.ai/code/session_01DrjisFD2mvy2nvognHczbd