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d-o-hub

memory-cli-ops

by d-o-hub

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

3🍴 0📅 Jan 23, 2026

SKILL.md


name: memory-cli-ops description: Execute and troubleshoot memory-cli commands for episode management, pattern analysis, and storage operations. Use this skill when running CLI commands, debugging CLI issues, explaining command usage, or guiding users through CLI workflows.

Memory CLI Operations

Execute and troubleshoot the memory-cli for the self-learning memory system.

Quick Reference

When to Use

  • Running CLI commands for episode/pattern management
  • Debugging CLI command failures
  • Understanding command syntax and options
  • Guiding users through CLI workflows

CLI Overview

Location: ./target/release/memory-cli Output Formats: human (default), json, yaml

Global Options

memory-cli [OPTIONS] <COMMAND>

Options:
  -c, --config <FILE>    Configuration file path
  -f, --format <FORMAT>  Output format (human|json|yaml)
  -v, --verbose          Enable verbose output
  --dry-run              Show what would be done

Commands Overview

CommandAliasPurpose
episodeepEpisode management
patternpatPattern analysis
storagestStorage operations
configcfgConfiguration
healthhpHealth monitoring
backupbakBackup/restore
monitormonMetrics

See commands.md for detailed command documentation and examples.md for common workflows.

Score

Total Score

75/100

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