Notebooks in Gemini vs Rowboat

Google has launched Notebooks in Gemini, a new organizational layer that groups related chats, files, and project context into a single persistent workspace. Unlike standard Gemini conversations that exist in isolation, Notebooks let users create project-scoped containers — similar in spirit to Claude's Projects feature — where AI context, uploaded documents, and conversation history persist and accumulate over time. The feature integrates with Google Workspace, allowing users to attach Google Docs, Sheets, Drive files, and Gmail threads directly to a Notebook. Gemini can then be queried across all attached materials in a unified way, making it useful for long-running research, client projects, or any work that spans multiple sessions and document types. Notebooks debuted at #2 on Product Hunt with 181 upvotes on launch day. This positions Gemini more directly against Claude's Projects and ChatGPT's memory-augmented workspaces. For Google Workspace users in particular, the tight Drive and Docs integration gives Notebooks a material advantage — it's the only AI workspace with native access to the full Google productivity stack. Enterprise buyers who've already committed to Workspace will find the feature immediately useful without any additional setup.

Rowboat is a local-first, open-source AI coworker that connects to your email and meeting notes, builds a persistent Obsidian-compatible knowledge graph from them, and uses that context to draft documents, meeting briefs, slide decks, and emails. It works with local models via Ollama or LM Studio, or with hosted APIs, and supports MCP for connecting external tools. The design philosophy is deliberately anti-cloud: all data stays in plain text Markdown files you can read, grep, and version-control. The knowledge graph is transparent — you can open it in Obsidian and see exactly what the AI knows about you. No black-box embeddings in a proprietary vector store, no "trust us with your emails" data agreements. Rowboat implements what Karpathy described as a "long-term memory coworker" — an AI that compounds value over time because it actually knows your history, your projects, and your terminology. TypeScript codebase, Apache 2.0 license, surging on GitHub trending this week.