Multi-Hour Task Checkpointer

$1.99Official

Invoke when an autonomous task may outlast one context window—persist resumable checkpoints to a state file so work survives resets and interruptions.

agent-infrastructurecheckpointingresumable-statelong-running-tasksfault-toleranceidempotencystate-managementautonomous-agents· by SkillingMain

What you get

  • 9-step procedure
  • Runnable Python / JSON included
  • 8-point quality checklist
  • 8 pitfalls to avoid
  • Installs into 6 tools
Version
v1
Last updated
today
Length
7 min read
Requires
Works with any modern AI assistant

Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects

Preview

When to use

Invoke at the start of any autonomous task expected to exceed one context window or ~30 minutes of wall-clock work: large refactors, multi-repo migrations, batch data processing, long test-and-fix loops, corpus generation, crawl/ingest jobs. Also invoke mid-task the moment context usage climbs past ~65% with work remaining, or immediately before any operation that may truncate history (spawning a fresh session, compaction, a tool that returns a huge payload). Do NOT use for tasks that finish in a handful of tool calls — the bookkeeping overhead is not worth it. The dividing line: if losing all in-memory state right now would cost more than ~5 minutes to reconstruct, c

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