Yansu

What is Yansu?

Yansu is a proactive AI desktop app that observes how you work and turns those patterns into structured knowledge, task handoffs, and automations. It is designed to run in the background rather than wait for prompts, so it can capture context from desktop activity and supported messaging apps and then act on that context later.

The product is positioned around three steps: listen, crystallize, and solve. It learns from screenshots and/or messaging apps, distills repeated patterns into reusable knowledge, and can then perform background actions such as filing tickets, opening apps, filling forms, or generating digests based on what it has learned.

Key Features

• Observes desktop activity through screenshots and/or messaging apps to learn work patterns from real usage, not from manual instructions.
• Distills observed context into structured knowledge such as workflows, preferences, and recurring team practices.
• Acts proactively in the background, handing off repetitive tasks and running automations without waiting for a prompt.
• Uses a virtual cursor and its own pointer layer for background computer use, so it can work alongside the user without taking over their cursor.
• Supports local storage of observations, AI memory, knowledge, and automations on the user's machine.
• Selects from multiple AI models automatically, including Claude, GPT, and Gemini, depending on the task.

How to Use Yansu

Install the desktop app on a supported platform, then allow it to observe your work through screenshots and/or connected messaging apps. Over time, Yansu builds a memory of your patterns and turns repeated context into knowledge.

From there, users can let it handle recurring background tasks such as summarizing updates, filing tickets, or running custom automations. For team use, the Enterprise plan adds shared knowledge and management tools.

Use Cases

• Keeping a living record of repeated work patterns, such as team preferences, review style, or recurring workflow steps.
• Turning ongoing desktop activity into structured handoffs, such as daily digests of Jira, Notion, or spreadsheet updates.
• Handling small operational tasks in the background, like opening apps, filling forms, or submitting support tickets while the user stays focused elsewhere.
• Monitoring and summarizing information from messaging tools so recurring decisions or requests are captured as usable knowledge.
• Supporting team-wide memory and automation workflows where multiple people benefit from shared patterns and centralized management.

FAQ

• What does Yansu do differently from a standard AI assistant? It does not rely on a prompt-first workflow. Instead, it observes how you work, builds memory from that context, and acts proactively.
• What platforms does Yansu support? The source says it is available for macOS, Windows 10+, and Linux, with specific build support for Apple Silicon, Intel, Ubuntu 20.04+, and Linux ARM64/x64 variants.
• Does Yansu work with team messaging tools? Yes. The source lists Slack, Microsoft Teams, Feishu, Discord, Telegram, WhatsApp, and WeChat as supported integrations.
• Is the data stored locally? The page says activity observations, AI memory, knowledge, and automations are stored locally on the user's machine, unless the user explicitly shares data.
• Can teams use Yansu? Yes. The Enterprise plan includes shared team memory and knowledge management, unlimited members, and admin controls.

Alternatives

• ChatGPT or other prompt-based AI assistants: These are better suited to direct question-and-answer workflows where the user describes what they need first.
• Copilot-style assistants: These typically assist inside a specific product or workflow, while Yansu is presented as a background desktop system that learns from broader work patterns.
• No-code automation tools: These are often built around manually configured rules and workflows, whereas Yansu is described as learning from observation and then triggering actions from that learned context.
• Traditional note-taking or knowledge base tools: These can store information, but they do not usually observe work behavior or automate handoffs from it.