Moonshot AI's Kimi Work Unleashes 300 Agents to Run Tasks for Days

Kimi Work, Moonshot AI's local desktop agent, just got a significant upgrade: Goal Mode. The feature lets you hand the agent a high-level objective and walk away -- it keeps running, round after round, until the task is finished or you tell it to stop. It's the clearest signal yet that Moonshot is building toward something closer to an autonomous digital coworker than a chat assistant.

What Goal Mode actually does

Goal Mode lets you hand Kimi a goal and have it keep working toward that goal on its own. Instead of answering a single turn, Kimi saves the goal as a persistent state and, at the end of each round, decides what to do next: whether the goal is complete, blocked, paused, or ready to continue into another round. As long as your computer stays on, a goal can keep running across many rounds without you starting over each time.

This is a meaningful shift from how most AI tools work. Standard agent sessions are stateless -- you prompt, it responds, the context resets. Goal Mode breaks that pattern by treating the objective as a persistent first-class entity with its own lifecycle. The agent tracks whether it's making progress, what's blocking it, and what the next logical step is -- all without you having to re-engage after every step.

Rather than returning a one-shot answer, Kimi Work operates as a workflow loop: it assigns and executes sub-tasks across its agent swarm, verifies the results, and feeds them back into the next round of work. The entire process remains observable and open to human intervention.

The engine underneath

Kimi Work runs on Kimi K2.6, a roughly 1-trillion-parameter mixture-of-experts model with about 32 billion active parameters per token, a 256K-token context window, and an Agent Swarm system that scales to 300 sub-agents across up to 4,000 coordinated steps. Mixture-of-Experts (MoE) is an architecture where only a fraction of the model's parameters activate for any given input -- it lets you get the capability of a massive model without paying the full compute cost at inference time.

The 300-agent ceiling is a threefold increase from the 100-agent ceiling of its predecessor, Kimi K2.5. K2.6 can manage workflows spanning roughly 4,000 steps, up from 1,500 steps with K2.5. That's the difference between an AI that can draft a memo and one that can research a topic across multiple sources, cross-reference data, build a spreadsheet, write a summary, and schedule a follow-up meeting.