memory_baidu_embedding_db

memory_baidu_embedding_db extends your AI assistant with the ability to semantic memory system using Baidu Embedding-V1 for secure, local vector storage and retrieval in Clawdbot with SQLite persistence. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using memory_baidu_embedding_db as its underlying capability.

memory_baidu_embedding_db works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install memory_baidu_embedding_db once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Getting started with memory_baidu_embedding_db takes about two minutes. Place the skill at `~/.claude/skills/memory-baidu-embedding-db/` (personal, all projects) or `.claude/skills/memory-baidu-embedding-db/` (project-specific), then restart your AI client. From that point, typing `/memory-baidu-embedding-db` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

memory_baidu_embedding_db has been installed 2,531 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.