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Multi-Agent Memory Architecture: Who Owns What?
Your team says “harness.” A vendor says “framework.” Another says “platform.” Your CTO says “infrastructure.” Everyone nods, and nobody agrees on what they mean. Planning a multi-agent memory architecture? This is where the mix-up starts to cost you. When nobody owns memory, you get three copies of it. Or none. Below, I split the four…
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Agent Harness vs Framework: The Difference
Your team says “harness.” Another team says “framework.” A vendor pitches a “platform.” Then someone says “infrastructure” and the meeting goes quiet. These words get tossed around like they mean the same thing. They don’t. Mix them up and you buy the wrong tool, or miss a gap until production. Here’s a plain take on…
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Agent Harness or Control Plane: Which?
You’re in a vendor demo. The slide says “agent platform.” The agent runs, the tools fire, and everything looks fine. Then you ask who manages ten agents in production, and the room goes quiet. That gap is the whole story. Many teams buy an agent harness and expect a control plane. The two sound alike,…
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Harness Engineering Patterns
Your agent nailed the demo. Then real users showed up. It picked the wrong tool, looped for ten minutes, and nobody could tell why. Most of the time the model isn’t to blame. The code wrapped around it is. That code is the harness, and building it well is harness engineering. This post walks through…
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AI Agent Harness Explained
Your agent looked great in the demo. Then real users showed up. It looped on one step, forgot something obvious, and called the wrong tool. The model didn’t get worse. Everything around it just wasn’t ready for the job. That “everything” is the agent harness. So what is it, what does it do, and how…
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Agent Observability: Signals That Matter
Your agent passed every test. Then production happened. It kept calling one tool in circles, ran up a token bill nobody expected, and told a customer something flat-out wrong. The dashboard? Green. Every light. Yeah, that’s the gap agent observability fills. Uptime checks tell you a service is alive. They say nothing about why an…
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Why Session History Is Not Workflow Memory
Agentic workflow memory is the state a workflow keeps about its own progress: what each step decided, produced, and left open. Session history is different. It’s a record of messages. Teams often treat the two as one thing, and that works right up until the workflow gets longer, branches, or hands work to another agent.…
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The AI SDK and Infrastructure: Two Different Jobs
An ai-sdk has one job. It runs the model. It sends the request, handles tool calls, and loops until the task is done. Infrastructure has a different job: coordinating agents around that loop, passing messages, and keeping a record. Blur the two and multi-agent systems get hard to reason about. Below, each job gets its…
