Run 300 AI Agents in Parallel for Research, Reports, and Websites Using Kimi Work

A free desktop agent that turns a single prompt into finished reports, decks, and websites

Kimi Work

By the end of this guide, you'll have Kimi Work running on your desktop — processing up to 50 files simultaneously, orchestrating up to 300 parallel sub-agents, and producing research reports, presentations, and full websites from a single prompt.

Who This Is For

  • You spend hours pulling research from multiple documents that could be synthesised in minutes

  • You build decks and reports manually when the source material already exists in your files

  • You want an AI agent that works overnight on long tasks without you supervising it

  • You need a website or presentation fast and don't want to open a design tool

  • You're already using AI for one-off prompts and want to step up to something that handles full multi-step workflows on its own

What You'll Build

A local AI agent on your desktop that can:

  • Process up to 50 files simultaneously — PDFs, Word docs, PowerPoints

  • Spin up to 300 specialised sub-agents working in parallel on complex tasks

  • Produce finished research reports, PowerPoint decks, Excel spreadsheets, and full websites from a single description

  • Run scheduled, recurring tasks automatically — including overnight while you're away from your computer

What You'll Need

  • A Windows or macOS (Apple Silicon) computer

  • A free Kimi account — kimi.com

  • The Kimi Work desktop app — kimi.com/products/kimi-work

  • Your source files ready if running a research or synthesis task

  • No code, no design skills, no setup beyond downloading the app

Going Further

  • Need cloud-based agent infrastructure instead of local — Guide: Claude Managed Agents: Build Full AI Agents Without Writing a Single Line of Code (AI Agent)

  • Want to extend your local agent stack with AI video generation as an output format — Guide: Higgsfield MCP (AI Video)

  • Want to pressure-test a research brief across multiple perspectives before running a major Kimi task — Guide: LLM Council (AI Foundation)