Kimi K2.6 runs agents for days — and exposes the limits of enterprise orchestration

Most orchestration frameworks were built for agents that run for seconds or minutes. Now that agents are running for hours — and in some cases days — those frameworks are starting to crack.

Several model providers, such as Anthropic with Claude Code and OpenAI with Codex, introduced early support for long-horizon agents through multi-session tasks, subagents and background execution. However, these systems sometimes assume agents are still operating within bounded-time workflows even when they run for extended periods. 

Open-source model provider Moonshot AI wants to push beyond that with its new model, Kimi K2.6. 

Moonshot says the model is designed for continuous execution, with internal use cases including agents that ran for hours and, in one case, five straight days, handling monitoring and incident response autonomously.

But this growing use of this type of agent is exposing a critical gap in orchestration: most orchestration frameworks were not designed for this ...