super-memori

Local-first hybrid memory skill for OpenClaw agents. Use when the agent needs to find, recall, search, or reuse past knowledge across episodic, semantic, pro...

Before installing or enabling this skill, consider the following: - Review startup-self-check.sh and any '--repair' behavior in detail. The session-start hook's default command includes --repair; decide whether you want automatic repair runs at agent bootstrap. If unsure, disable the hook or remove the --repair flag. - The auto-learner will read ~/.openclaw/logs/commands.log to propose learning candidates. That file may contain sensitive commands. If you don't want command history scanned, do not enable auto-learner or remove PROMPT_COMMAND logging. - The hook can inject the generated startup report into the model's bootstrap context. If you need strict separation of local files and model input, disable 'injectBootstrapReport' in the hook configuration before enabling. - The package uses hardcoded paths (e.g., /home/irtual and absolute npm module paths). Confirm and adjust those paths for your host environment to avoid accidental failures or unintended behavior. - Run ./health-check.sh --json in a safe/test workspace first to see what the skill would report and whether the host is in degraded mode. Back up your memory workspace (memory/, DB files, and any index-state) before running index/repair operations. - If you plan to enable the session hook, prefer manual activation and review the ledger/report files it writes (memory/index-state/...). Keep the hook disabled in production until you have tested it in an isolated environment. Given the documented behaviors and some inconsistencies (repair default vs. 'destructive auto-actions disabled'), treat this skill as potentially privacy-sensitive and proceed only after auditing the scripts and adjusting the hook configuration to match your safety requirements.