Super Brain

AI自我增强系统 - 让AI跨会话记住用户、持续进化。当需要长期记忆用户偏好、追踪对话历史、学习服务技巧、主动提供个性化服务时使用此技能。

Plain-language checklist before installing/running: - Expect local files: the skill will create/modify files under your home directory (e.g., ~/.openclaw/super-brain.db, vector DB folder, and ~/.openclaw/workspace/TOOLS.md). Back up anything there you care about. - Environment variable: the runtime code reads USER_ID from the environment but the skill metadata does not declare it. Ensure your agent supplies an appropriate user identifier (or inspect/modify the code to use a safe id source) before letting it run automatically. - Privacy defaults: by default it stores conversations and mood and does not enable encryption. If you will store sensitive data, change privacy_settings (store_conversations, encryption_enabled) to be conservative or enable encryption and auto-delete policies before use. - File/schema mismatches: the package contains several scripts that reference tables or features that may not be present in the bundled schema. Expect runtime errors; review references/schema.sql and the scripts for missing tables (e.g., knowledge_gaps, ethical_constraints, self_evolution_log, agent_outputs) and either add them or adjust code. - Inspect code before running: there are no external network downloads in the bundle, but the code will run on your machine and write to disk. Skim the scripts (install.py, init_db.py, auto_record.py, vector_memory.py, data_manager.py, ethics_engine.py) for any changes you don’t want. Look especially for any unexpected subprocess/network calls (none were found in this bundle), hidden endpoints, or telemetry usage (vector module sets anonymized_telemetry=False for ChromaDB if used). - Test in isolated environment: if possible, run init_db and the scripts in a disposable account/container or with a test user_id to confirm behavior. Verify ethics_engine and privacy settings actually enforce filtering and that auto-delete works. - If you plan to enable this for real users: enable encryption, reduce retention (auto_delete_days), and ensure the agent only reads/writes the intended DB path. Also consider adding an explicit opt-in prompt to users before the skill stores their data. If you want, I can: - point out exact lines where env/db path mismatches occur, - produce a short patch to make DB path consistent and to require explicit USER_ID in metadata, - or summarize which tables referenced by scripts are missing from the provided schema.

Type: OpenClaw Skill Name: super-brain Version: 1.0.0 The 'super-brain' skill is a comprehensive long-term memory and task-orchestration system designed to provide AI persistence across sessions. While it employs high-privilege behaviors—such as modifying the workspace configuration (TOOLS.md) via 'install.py' to ensure startup execution and utilizing 'sessions_spawn' for multi-agent task decomposition—these actions are transparently documented and strictly aligned with the stated goal of 'AI self-evolution.' Notably, the bundle includes a dedicated 'ethics_engine.py' and 'privacy_settings' in 'schema.sql' specifically designed to detect and filter sensitive PII (passwords, IDs) before storage in the local SQLite database (~/.openclaw/super-brain.db), demonstrating a proactive approach to security and data privacy.