菜单
Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use when working with MCP server tools, validating the MCP implementation, or debugging MCP server issues.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | do-memory-mcp |
| description | Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use when working with MCP server tools, validating the MCP implementation, or debugging MCP server issues. |
Interacts with and troubleshoot the Memory Model Context Protocol (MCP) server for the self-learning memory system.
The do-memory-mcp server exposes episodic memory functionality through the Model Context Protocol:
execute_agent_code is unavailable / fail-closed (WASM sandbox removed; no working execution backend)Location: ./target/release/do-memory-mcp-server
Configuration: .mcp.json
Transport: stdio (Standard Input/Output)
| Tool | Purpose |
|---|---|
query_memory | Query episodic memory for relevant past experiences |
analyze_patterns | Analyze patterns from past episodes |
advanced_pattern_analysis | Statistical analysis, predictive modeling |
execute_agent_code | Unavailable / fail-closed (WASM sandbox removed) |
health_check | Check server health status |
get_metrics | Get comprehensive monitoring metrics |
See tools.md for detailed tool documentation and best-practices.md for usage guidelines.
# Build
cargo build --release --bin do-memory-mcp-server
# Run directly
export TURSO_DATABASE_URL="file:./data/memory.db"
./target/release/do-memory-mcp-server
# Run via MCP Inspector for testing
npx -y @modelcontextprotocol/inspector ./target/release/do-memory-mcp-server
See configuration.md for full environment setup and validation.md for MCP Inspector workflow.
Checkpoint episodes and create handoff packs for multi-agent session continuity
Configure, test, benchmark, and manage embedding providers for semantic search and vector operations
Create and traverse typed relationships between episodes for dependency tracking and knowledge graphs
Manage episode tags for organization, filtering, and retrieval across the memory system
Generate task playbooks and explain patterns using learned strategies from episodic memory
Record and analyze recommendation sessions and feedback to drive the self-learning loop