aios-long-running-harnesslisted

# AIOS Long-Running Harness ## Overview Use this harness to keep long tasks stable under UI drift, model variability, and partial failures. It maps Anthropic's long-running-agent harness ideas into this repository's file-based workflow. ## Harness Loop 1. Preflight: lock objective, stop conditions, budgets, and required artifacts. 2. Plan: split into idempotent steps with explicit success/failure evidence. 3. Execute: run one step at a time with tool output capture. 4. Verify: assert completion from page evidence, not assumptions. 5. Checkpoint: persist current state, artifacts, and next action. 6. Recover: on failure, classify and retry only with a changed hypothesis. 7. Complete: run final verification and write summary doc. ## Pairing with Superpowers Skills - Plan step should be produced through `superpowers:writing-plans` (or `superpowers:brainstorming` first when scope is unclear). - For 2+ independent domains, use `superpowers:dispatching-parallel-agents`; for coupled domains, run sequentially. - If the runtime has no true subagent tool, emulate dispatch with explicit per-domain task queues and only parallelize safe independent reads/checks. - Always finish with `superpowers:verification-before-completion` before claiming run success. ## Context Boundary Use ContextDB as storage and evidence, not as prompt replay. The harness may write sessions, events, checkpoints, continuity files, handoff files, and offload refs, but it must not turn those artifacts into an aut