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…ory → FullMemory) Introduces CoreMemory (zero-config, no LLM), SmartMemory (echo/categories/graph), and FullMemory (scenes/profiles/tasks) with CoreSQLiteManager, content-hash dedup, query cache, presets system, benchmark command, and 82 new/updated tests. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…elf-improvement loop Adds skills as first-class citizens to Engram's memory architecture: - Skill schema (SKILL.md format), store, executor, outcome tracking, and discovery - Trajectory recording and persistence for tracking agent task episodes - Skill miner that compiles successful trajectories into reusable skills - zvec vector store backend with graceful fallback chain - Centralized SHA-256 hashing (content, trajectory, skill signature) - 6 new MCP tools for skill and trajectory management - SmartMemory gains skill search/apply; FullMemory gains trajectory recording and mining - 71 new tests, all 105 tests passing Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…DIA provider updates - Add unified enrichment module with multi-modal encoding pipeline - Enhance skill system with structure module, improved executor/miner/outcomes - Update memory architecture (smart memory, main memory) for enrichment integration - Add NVIDIA embeddings and LLM provider improvements - Update LongMemEval benchmark runner - Add structural and unified enrichment test suites Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ment optimizations
Add cross-encoder reranking stage using NVIDIA NIM API for improved retrieval accuracy. Add nemotron-embed model support with proper modality list handling in batch embeddings. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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