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YH-05
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agent-memory

Save, recall, and organize agent knowledge across conversational sessions.

1|Updated Jan 11, 2026
Search Tags:#knowledge management#recall#agent#memory#organization#persistence
One-click install
npx skills add https://github.com/YH-05/finance --skill agent-memory-yh-05
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-memory
Source: https://github.com/YH-05/finance/tree/main/.claude/skills/agent-memory
Command: npx skills add https://github.com/YH-05/finance --skill agent-memory-yh-05

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a persistent memory space to store and retrieve information across conversations, preventing knowledge loss and improving continuity.

Core Features & Use Cases

  • Save Knowledge: Store research findings, code solutions, architectural decisions, and in-progress work.
  • Recall Information: Easily search and retrieve past memories based on summaries, tags, or full-text content.
  • Organize Memories: Structure memories into categories for better management and consolidation.
  • Use Case: After solving a complex bug, save the solution with detailed steps and context. Later, when a similar issue arises, quickly recall the fix from memory.

Quick Start

Save the current discussion context into your agent memory under the 'code-debugging' category.

Frequently Asked Questions about agent-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retain agent knowledge across different conversational sessions?▼

Agent memory persists knowledge across conversational sessions by using a dedicated store to save research findings and code solutions. This prevents knowledge loss and maintains project continuity between interactions.

What is the best way to organize and recall past memories for an agent?▼

Organizing memories into user-defined categories with frontmatter allows agents to efficiently recall past context. Users can retrieve stored information by searching summaries, tags, or full-text content.

Can I save in-progress work and architectural decisions for later context retrieval?▼

Yes, proactive memory saving allows you to store in-progress work and architectural decisions. You can save detailed context under specific categories like 'code-debugging' to retrieve later when similar issues arise.

Does agent memory support reactive recall for fetching previous solutions?▼

Reactive recall is fully supported for context retrieval. The memory store enables agents to quickly search and fetch previously saved solutions, ensuring past findings are immediately accessible when needed.

How do I structure memories for better management and summarization?▼

Structure memories by organizing them into user-defined categories with frontmatter. This approach enables effective summarization and status tracking, simplifying the consolidation of stored knowledge.

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