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Added capture_llm module: LLM-powered semantic extraction of user+assistant turns into classified durable memory (preference, workflow, pitfall, decision, etc.) with user-configurable model and endpoint.
Added capture_llm configuration block (capture_llm.enabled, capture_llm.model, capture_llm.base_url, etc.) with safe defaults (disabled by default, requires API key).
LLM extraction runs in sync_turn before legacy regex extraction; if LLM succeeds, regex and raw-user fallback are skipped to avoid noise.
LLM extraction preserves entity and tag metadata on stored candidates for better recall targeting.
Changed
sync_turn now has a four-tier capture pipeline: LLM semantic extraction → regex extraction → raw user capture → raw assistant capture (legacy).
Bumped package, plugin, and release-check metadata to 1.0.6.
Synced public README/stability/OpenClaw comparison wording with the v1.0.4/v1.0.5 entity, feedback, and nightly digest features.
Extended the public scope_recall_store tool schema memory_type enum to include workflow-oriented digest types already accepted by the governance layer.