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It's all about the loop. Agents accumulate state with every step of the loop. This state needs a new data primitive. That's Durable Streams 🧵👇

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Electric

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10,565 Aufrufe • vor 4 Monaten •via X (Twitter)

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callbacks with durable objects are weird (but it's also convenient to solve human-in-the-loop for ai agents) tl;dr - by defining callbacks as data, we can let durable objects "sleep" while it's waiting for a timer/email/webhook/phone call/whatever. demo borked a little bit, I blame openai, but it all stilkl worked. that's video 2. gnight!
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callbacks with durable objects are weird (but it's also convenient to solve human-in-the-loop for ai agents) tl;dr - by defining callbacks as data, we can let durable objects "sleep" while it's waiting for a timer/email/webhook/phone call/whatever. demo borked a little bit, I blame openai, but it all stilkl worked. that's video 2. gnight!

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the loop is not the whole agent it is only one layer of the system LOOP vs GRAPH vs HARNESS ENGINEERING LOOP ENGINEERING controls iteration turns retries budgets stop conditions success checks stalled progress use durable execution when the run must survive crashes → GRAPH ENGINEERING controls structure nodes edges state branches checkpoints routing handoffs build stateful agents as explicit graphs → inspect the topology without putting a model in the loop → HARNESS ENGINEERING controls exposure tools permissions memory sandboxes evals traces humans isolate generated code from the host machine → test behavior before users ever see it → preserve one trace across every model step and tool call → without loop control it keeps running without graph structure the path stays invisible without harness control it can reach anything the loop runs inside the graph the graph runs inside the harness the model is only one component debug the layer that actually owns the failure save this then read the article below
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