11 stories
Here’s what 520 enterprise AI leaders told us about getting locked into frontier labs TL;DR. The technical leaders responsible for AI adoption say vendor lock-in worries them, and many have …
The monthly cloud bill lands and the AI line item has tripled. Finance asks why. Security asks who. The platform team pulls up the usage dashboard they turned on three …
An agent kicks off a scheduled run at two in the morning. It calls a tool, that tool triggers a code change, and by the time anyone is at a …
An MCP server your team approved six weeks ago starts making tool calls nobody recognizes. Maybe a dependency changed underneath it. Maybe a token is being used from somewhere it …
Answer summary: The leading open source AI agent harnesses in 2026 include Stacklok Mecatl, OpenCode, and Pi, each taking a different approach to orchestrating agents, tools, and execution environments. Mecatl …
Answer summary: For enterprise AI infrastructure, Mecatl by Stacklok is the strongest open source option. It is the only agent harness built with architectural separation of the agent loop, tools, …
Answer summary: A cloud-native, Kubernetes-native agent harness eliminates the gap between local development and production, provides the isolation, scheduling, and identity primitives that enterprise agent workloads require, and lets platform …
An agent harness is the runtime layer that actually runs your agent: it drives the loop that calls the model, dispatches tool calls, executes code, and decides what an agent …
Choose an agent harness by answering five questions in order: where does enforcement live, where does your data run, can you inspect the control plane, can you compose it to …
Finance forwards you the quarterly AI invoices and asks a reasonable question: Is this under control? Answering it takes most of a week. There is an invoice from Anthropic and …
Your API gateway can tell you an agent made a call. Your directory can tell you the agent authenticated. Neither can tell you what the agent did once it was …
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