Show HN: AI-Powered Zettelkasten Using Pinecone and Claude MCP (github.com)

A lightweight, AI-powered Zettelkasten-inspired knowledge manager has been released that ties Claude Code (using Claude MCP) to Pinecone DB for quick, semantic note-taking and task tracking. The demo walks you through adding a Pinecone index called zettelkasten-db, loading a local prompt file (ai-zettelkasten-prompt.md), and then interacting via Claude Code to add quotes, bookmarks, tasks and retrieve them by intent — e.g., “give me a Jim Rohn quote about discipline,” “show my kanban board filtered by todo,” or “what have I learned in the past week?” The project also provides a shell-friendly workflow (.zettelkastenrc) with CLI shortcuts (zadd, zsearch, zbookmark, zboard, zettel) for one-line capture and semantic search. The significance is practical: it demonstrates a small but complete pattern for combining an LLM interface with a vector database to enable retrieval-by-meaning, rapid capture, and simple task/Kanban integration consistent with Zettelkasten workflows. Key technical points: it uses Claude MCP via Claude Code for generation and Pinecone for vector storage/search (index creation, embedding storage and RAG-style retrieval), supports quick setup in minutes, and keeps prompts configurable locally. Trade-offs to note: you need access to Claude MCP and Pinecone (and their costs/placement), and data lives in your Pinecone index unless adapted for local-only storage.