基于检索增强技术，实现语义搜索、记忆优化与对话增强，显著降低 token 消耗并提升检索准确率。
Initial release of Smart Memory System for OpenClaw. - Introduces a semantic search-based intelligent memory system, leveraging retrieval-augmented generation (RAG) for memory optimization and enhanced conversation. - Reduces token consumption by up to 80% compared to traditional approaches. - Features include memory clustering, importance scoring, context injection, history recall, and personalization. - Supports BAAI/bge-m3 vector embeddings and bge-reranker for high-accuracy retrieval. - Provides configuration options for memory management, context compression, and system integration with OpenClaw. - Includes advanced commands for batch processing, optimization, report generation, monitoring, and troubleshooting. - Offers plugin and template systems for extensibility, with support for multiple export formats (JSON, Markdown, CSV, HTML). - Documentation covers setup, usage, architecture, performance metrics, roadmap, and support.