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name: Serena Memory System description: Interface for long-term memory and context management. Use to store and retrieve user preferences, project context, and past learnings.

Serena Memory System Skill

This skill grants access to the serena MCP tools, which provide persistent memory and context awareness for the agent.

When to use

• Recalling user preferences or project history.
• Storing new "memories" or learnings for future sessions.
• searching for files or symbols using Serena's semantic index.

Available Tools (Context Loaded)

The following tools are available via the serena MCP server:

Memory Management

• mcp__serena__list_memories: Retrieve stored memories.
• mcp__serena__think_about_collected_information: Process and synthesize information.
• mcp__serena__onboarding: Access onboarding information.

Semantic Search

• mcp__serena__find_file: Find files semantically.
• mcp__serena__find_symbol: Find code symbols semantically.

Best Practices

1. Check Memory First: Before asking the user for repetitive info, check if it's stored in memory.
2. Synthesize: Use think_about_collected_information to consolidate complex context.

Example Workflow

1. User: "What was the design pattern we decided on?"
2. Agent: Calls mcp__serena__list_memories to search for design decisions.