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Long-running tasks, subagents, recovery, and observability

Durable state, explicit ownership, and candidate-bound evidence allow restart, worker coordination, and integration over a moving target.

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Video summary

The ideas to retain

01

A long-running task is a durable state machine, not an infinite conversation

In a short interaction, we can pretend conversation, plan, workspace, and execution are one object. That simplification breaks down over hours.

02

“Memory” is not one object

Agent systems use memory to mean several different things:

03

Context, compaction, checkpoints, and durable state are not synonyms either

Compaction reduces or transforms the context fed back into the model. Its purpose is to keep reasoning within a token budget.

Key moments

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  1. Durable checkpoint and recovery
  2. Fan-out with ownership; fan-in with evidence
  3. Target moves: integrate and revalidate