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Agent Orchestration

155 summarised stories about Agent Orchestration, each linking back to the original source. Browse all topics →

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Friday, 2 October 2026

What Kubernetes’ “monolith” lesson means for AI agent harnesses

The New Stack 2 weeks ago 45

Road to KubeCon argues that AI agent harnesses should move from laptop-style, local setups to cloud-native designs that separate the agent loop from supporting infrastructure and services. Koordinator was used by Zhuoyu Technology to push on-Kubernetes GPU allocation above 95% and GPU utilization above 55%, addressing inefficiencies from the default Kubernetes scheduler. As a result, agent and workload management becomes more distributed and scalable, with better scheduling outcomes for AI and other microservice workloads.

Pi 1.0 hardens the minimal agent harness

Earendil 2 weeks ago 27 ● 4 sources

Pi released Pi 1.0, a hardened, minimal, extensible agent harness, and also introduced the experimental Pi Durable package. It adds features including Codemode support for MCP and non-LLM models plus cache warming for Anthropic models. The result is a more durable agent platform with virtual model support, transcript-aware mid-conversation changes, and a default full-screen TUI mode for longer-running tasks.

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