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openclaw-mem
openclaw-mem contains 10 collected skills from phenomenoner, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Govern memory, episode, skill, and fact lifecycle maintenance through the unified curate scan, review, apply, verify, and rollback verbs.
Operate graph readiness, topology lookup, synthesis-aware routing, and symbolic evidence canvases. Use for project ownership, impact, dependency, or idea-to-project questions.
Govern embedding refresh, episodic evidence synchronization, metadata writeback, and engine dataset snapshots. Use before or after bounded sync, reindex, migration, or writeback operations.
Govern source-linked temporal facts in openclaw-mem. Use for current truth, timelines, stale detection, fact packs, and review-only fact extraction.
Operate experimental Dream Lite planning, governed refresh canaries, rollback, and Director rehearsals. Use only for explicitly reviewed derived card maintenance.
Operate the experimental GBrain lookup, restricted helper-job, and governed refresh-canary lanes. Use only when GBrain integration is explicitly enabled.
Operate the experimental read-only goal primitive and surface validation. Use for normalized goal status, compact goal packs, and receipt validation, not continuation or autonomous mutation.
Inspect experimental self-improvement consolidation surfaces. Use for read-only validation, goal readback, staged skill proposals, curator review, and system status.
Inspect and govern the experimental derived self-model sidecar. Use for continuity snapshots, attachment maps, drift, threats, public-safe wording, release receipts, or migration comparisons.
Trust-aware OpenClaw memory routing. Use when an agent must decide whether to recall, search docs or graph evidence, build a bounded pack, store a durable fact, or keep information session-local.