LobsterAI
Product information, use cases, and access for LobsterAI.
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What is LobsterAI?
LobsterAI, also called Youdao Lobster, is a full-scope office assistant Agent from NetEase Youdao that operates as a desktop application. Its official site describes local deployment, remote conversational control, and an OpenClaw-based ecosystem that can extend the assistant with models and Skills, making it relevant to people handling varied office work.
Users can describe a task in natural language and have the assistant work with a local file, terminal, browser, or project environment. The site also presents remote direction and dual-layer memory, so the product is suited to document work, information handling, and recurring activities that span several tools.
Key features of LobsterAI
Desktop office assistant
LobsterAI provides a desktop entry point for an office Agent and presents itself as a broad personal assistant for work. It suits users who want a single local application to handle different kinds of office tasks.
Local deployment
The official site describes LobsterAI as deployable and runnable locally. This gives users a way to use the office assistant within their own computer environment while working on relevant tasks.
Cross-environment task work
The assistant can connect with local files, a terminal, a browser, and project environments, bringing a natural-language request into a working context. This is useful for tasks that involve materials or actions across more than one application.
Remote conversational control
The official site presents remote control through conversation, allowing users to direct LobsterAI while they are away from the computer. This supports situations where a task needs follow-up without constant physical access to the device.
Models and Skills ecosystem
LobsterAI is described as building on the OpenClaw ecosystem to extend its available models and Skills. This gives users an Agent-oriented way to add capabilities as their work requirements evolve.
Dual-layer memory
The official site mentions dual-layer memory for retaining relevant context across ongoing conversations and work. This is useful when office tasks need to continue over multiple exchanges rather than being handled in one request.