Moonshot AI Launches Kimi Work, a Local Desktop Agent Reportedly Running on Kimi K2.6 With a 300-Sub-Agent Agent Swarm

AI Launches Kimi Work, a Local Desktop Agent Reportedly Running on Kimi K2.6 With a 300-Sub-Agent Agent Swarm">

Moonshot AI has introduced Kimi Work, an AI agent that runs on your own desktop. The Beijing-based AI entity announced it this week along with downloads for macOS and Windows. Kimi Work reads local files, drives your real browser, and runs scheduled tasks. It targets knowledge workers whose bottleneck is access to files and live sessions.

Most agent tools of the past two years ran in the cloud. You type a goal, a remote server spins up a sandbox, and a hosted browser acts. Kimi Work runs locally instead, reaching files and sessions you already use.

Kimi Work is a downloadable application, not a web chat. You give it goals in plain language, and it acts on your machine. Independent community mentions report that it runs on Kimi K2.6, Moonshot’s flagship model.

K2.6 is an open-weight Mixture-of-Experts model released on April 20, 2026. It activates about 32 billion parameters per token. It carries a 256K-token context window for long, multi-step work.

Four building blocks define the product. Knowing them helps you reason about what it can do.

The desktop app also ships finance-specific data. It is pre-integrated with market data for A-shares, Hong Kong stocks, and US equities. According to Moonshot release, this removes the need for custom API setup. Finished research can convert into PowerPoint decks or Excel sheets.

The core difference is where the agent runs and what it can reach. The table compares Kimi Work against a typical cloud agent.

Neither approach wins outright. Local execution keeps data on your device and reaches real files. Cloud execution trades that control for zero-setup convenience and managed safety.

Kimi Work is driven by natural language, not a public API. Its scheduler is a cron engine, so it accepts standard cron schedules. The five fields are: minute, hour, day-of-month, month, and day-of-week.

You pair a schedule with a plain-language task. A daily briefing job reads like this.

The approval gate then applies to that write, and to any web action.

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