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The hook runtime lets Pioneer run domain work around a turn without putting every domain rule inside the agent loop. It lives in crates/hooks and is wired by crates/agent and crates/gateway. The design goal is simple: the agent loop should know lifecycle phases and typed contributions. It should not need memory-specific, skills-specific, or future domain-specific branches for every side behavior.

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Why hooks exist

Some work must happen around a turn but should not be part of the main model/tool loop:
  • classify turn policy before prompt assembly;
  • add compact context before prompt compilation;
  • contribute model-visible tool bundles;
  • add prompt sections;
  • run post-turn extraction or cleanup;
  • persist hook-run diagnostics for recovery and audit.
Without hooks, this logic would accumulate as branches in the agent loop. Hooks keep these side behaviors explicit, typed, ordered, and observable.

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Core types

Handlers declare capabilities. A hook that contributes tool bundles must declare the tool-bundle capability. A hook that only reads context and writes internal domain state should not be able to emit prompt or tool contributions by accident.

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Turn phases

The phase names are stable because they are also useful in diagnostics, hook-run persistence, and future operator tooling.

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Contributions

Hooks communicate through typed contributions instead of raw JSON blobs. The agent loop aggregates these sets at phase boundaries. Domain hooks interpret their own policy and context; the loop stays generic.

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Execution policy

Each subscription has execution behavior: Failure policy is separate. Best-effort hooks can fail without failing the turn; required hooks can fail closed. The runtime records safe diagnostics and avoids putting raw sensitive payloads in summaries.

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Dependencies and ordering

Subscriptions are sorted by priority and id, while explicit dependencies determine required ordering. A hook can require another subscription on the same phase to run first. The runtime detects missing dependencies, disabled dependencies, and cycles. Memory uses phase ordering for recall: deterministic memory runs at turn.pre_prompt_context, then active memory runs at turn.post_preflight_prompt_context after the internal preflight plan has been built. The active hook receives typed prompt context plus the preflight-owned active recall plan or fallback. Thread episodic context follows the same rule. The hook/runtime boundary carries typed prompt context and recall contributions; the agent loop should not know how memvid capsules, thread chunks, or artifact refs are searched. It only dispatches the phase and later consumes the compiled prompt context.

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Persistence and recovery

Gateway hook-run persistence records lifecycle state for subscribed work:
  • started;
  • completed;
  • skipped;
  • failed;
  • timed out;
  • backgrounded;
  • latency and attempt metadata;
  • safe diagnostics and contribution hashes.
Domain hooks should not invent their own retry tables for ordinary hook execution. Generic hook-run persistence owns that operational layer.

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Memory as a hooked domain

Agent memory is the first heavy domain built on this runtime:
  • MemoryPolicyClassifierHook runs at turn.pre_policy.
  • MemoryDeterministicRecallHook runs at turn.pre_prompt_context.
  • ActiveMemoryRecallHook runs at turn.post_preflight_prompt_context.
  • MemoryToolBundleHook runs at turn.pre_tool_materialization.
  • MemoryPromptContractHook runs at turn.pre_prompt_compile.
  • MemoryPostTurnExtractorHook runs at turn.post_turn.
The result is that memory can recall context, expose tools, render prompt policy, and extract durable facts without adding memory-specific extraction branches to the agent loop. Thread context and artifact continuity build on the same pattern. A domain can enrich prompt context with recalled snippets or artifact references, while the prompt compiler and tool materialization layer decide what the model sees. The loop does not need a special “if this old message had a photo” branch.

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Adding a hook

When adding a hook:
  1. Define typed input/output using existing hook request and contribution types where possible.
  2. Give the handler a stable id and kind.
  3. Declare only the capabilities it needs.
  4. Register it with a phase, priority, execution policy, failure policy, and visibility.
  5. Add tests for descriptor stability, capabilities, ordering/dependencies, policy behavior, and diagnostics.
  6. Keep domain decisions inside the hook or its domain service, not in the agent loop.