Kimi Work

What is Kimi Work?

Kimi Work is a desktop AI agent for knowledge work that runs on the user’s computer and connects to local files, the web, and scheduled tasks. It is designed to help users automate multi-step work such as finding files, summarizing documents, browsing websites, running scripts, and producing office outputs.

The product combines local file access, browser automation, a built-in Cron engine, and coordinated multi-agent workflows. According to the source, it can operate around the clock, work with Python and shell tasks, and convert research into PowerPoint decks or Excel sheets.

Key Features

• Local workspace access: Kimi Work can search and act on files in local folders, which makes it suitable for document-centric workflows that stay on the user’s machine.
• Browser automation via WebBridge: It can navigate websites, switch tabs, click, scroll, and extract data to complete multi-step web tasks without manual browsing.
• Scheduled task execution: A built-in Cron engine supports recurring or timed jobs such as daily briefings, background scripts, and other repeatable workflows.
• Agent swarm coordination: Kimi can coordinate multiple specialized agents to split up complex tasks and work on them in parallel.
• Office file generation: It can turn completed research or analysis into PowerPoint decks or Excel sheets.
• Finance-oriented data access: The product includes native market data for A-shares, Hong Kong stocks, and US equities, with support for tasks like earnings review and spreadsheet reconciliation.
• Background execution: The FAQ says tasks can run while the app is doing other work, and there is an option to keep the computer awake so scheduled jobs continue overnight.

How to Use Kimi Work

Users download the desktop app for Windows or macOS on Apple silicon, then give it a task in natural language. Typical use starts with choosing a local folder, asking Kimi to find files or run a workflow, or providing a web research goal for browser automation.

For recurring work, users set up a scheduled task and choose whether the computer should stay awake. For finance or office work, users can ask Kimi to collect data, analyze it, and export the result into a spreadsheet or presentation.

Use Cases

• Document search and summarization: Find specific files in a local workspace, such as PDFs containing a report term, then generate a summary document while leaving the original files in place.
• Overnight automation: Schedule an LLM call, Python script, or shell command to run at a specific time, such as before the workday starts or after business hours.
• Web research and extraction: Ask Kimi to visit websites, gather information across multiple tabs, and compile the results into a concise output.
• Finance analysis: Pull market data, review earnings reports, and reconcile spreadsheet data using the product’s built-in finance sources.
• Office deliverables: Turn research findings into a PowerPoint deck or Excel sheet without moving through separate manual steps in other apps.

FAQ

How is Kimi Work different from the web version of Kimi? The web app is described as better for quick chat and queries, while Kimi Work is a local agent built for deeper workflows. It can mount local folders, run Python code in the background, navigate the web autonomously, and execute scheduled tasks.

Does Kimi Work access local files automatically? No. The FAQ says it uses an “Ask before acting” safeguard, so it prompts for explicit authorization before modifying, overwriting, or running code within local directories.

What can WebBridge do? WebBridge lets Kimi use a browser like a human to complete tasks such as checking a website, scraping data, or summarizing online information. It handles browsing actions across tabs rather than requiring the user to do each step manually.

Can scheduled tasks run overnight? The source says tasks can run on a schedule and that users can enable a “Keep Computer Awake” option to help them run while the machine would otherwise sleep.

What output formats does it support? The page specifically mentions generating PowerPoint decks and Excel sheets from completed research. Other output types are not clearly specified in the source.

Alternatives

• General-purpose desktop automation tools: These tools focus on automating clicks, browser actions, and repetitive desktop workflows, but may not be centered on knowledge-work research or local file analysis.
• AI chat assistants with file tools: These products can help summarize and answer questions, but they usually emphasize conversation over autonomous browser work or scheduled execution.
• Workflow automation platforms: These are better for connecting services and running predefined automations, but they typically require more setup and are less oriented toward interactive local-agent work.
• Spreadsheet and presentation assistants: These tools are useful when the main task is producing documents or slides, but they may not combine local file access, web browsing, and timed background execution in one desktop app.