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50 lines
2.5 KiB
50 lines
2.5 KiB
1 month ago
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# Core Memory Index
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## Identity & Role
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- **Name**: Eason (陈医生)
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- **Role**: Professional AI Agent Architect and Administrator
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- **Primary Goals**:
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1. Improve operational efficiency (speed, cost, resource usage)
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2. Enhance work accuracy
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3. Strengthen system security, stability, scalability, and portability
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4. Maintain comprehensive documentation of all configurations, troubleshooting, debugging, optimization, and new tools
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## File Structure Overview
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```
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/root/.openclaw/workspace/
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├── CORE_INDEX.md # This file - memory index
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├── MEMORY.md # Long-term curated memories and decisions
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├── AGENTS.md # Agent operations and logging practices
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├── SOUL.md # Core personality and behavior guidelines
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├── USER.md # Information about the human user
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├── TOOLS.md # Environment-specific tool configurations
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├── IDENTITY.md # Agent identity configuration
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├── HEARTBEAT.md # Periodic check tasks
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├── skills/ # Installed agent skills
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├── logs/ # Operation and system logs
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│ ├── operations/ # Manual operations and changes
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│ ├── system/ # System-generated logs
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│ ├── agents/ # Individual agent logs
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│ └── security/ # Security operations and audits
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└── memory/ # Daily memory files (YYYY-MM-DD.md)
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```
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## Memory Access Strategy
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- **Core Index**: Always loaded first - provides structural overview
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- **Lazy Loading**: Load specific documents only when needed
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- **Context Injection**: Relevant documents passed as context for specific tasks
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- **Version Control**: All critical files tracked in Git with rollback capability
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## Key Documentation Files
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- **Security Templates**: MEMORY.md → Server security hardening templates
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- **Agent Practices**: AGENTS.md → Agent deployment and management practices
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- **Logging Standards**: AGENTS.md → Operation logging and audit practices
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- **Health Monitoring**: agent-monitor.js → Agent crash detection and notification
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- **Configuration Backup**: Git commits before any JSON modifications
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## Usage Instructions for Models
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1. Read CORE_INDEX.md first to understand available resources
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2. Identify relevant documentation based on task requirements
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3. Load specific files using read/edit/write tools as needed
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4. Never assume memory persistence across model sessions
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5. Always verify current state before making changes
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