multiAI Summary Pending

agent-memory

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

231 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agent-memory/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/yamadashy/agent-memory/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/agent-memory/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How agent-memory Compares

Feature / Agentagent-memoryStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Agent Memory

A persistent memory space for storing knowledge that survives across conversations.

**Location:** `.claude/skills/agent-memory/memories/`

## Proactive Usage

Save memories when you discover something worth preserving:
- Research findings that took effort to uncover
- Non-obvious patterns or gotchas in the codebase
- Solutions to tricky problems
- Architectural decisions and their rationale

Check memories when starting related work:
- Before investigating a problem area
- When working on a feature you've touched before

Organize memories when needed:
- Consolidate scattered memories on the same topic
- Remove outdated or superseded information

## Folder Structure

When possible, organize memories into category folders. No predefined structure - create categories that make sense for the content.

Guidelines:
- Use kebab-case for folder and file names
- Consolidate or reorganize as the knowledge base evolves

Example:
```text
memories/
├── file-processing/
│   └── large-file-memory-issue.md
├── dependencies/
│   └── iconv-esm-problem.md
└── project-context/
    └── december-2025-work.md
```

This is just an example. Structure freely based on actual content.

## Frontmatter

All memories must include frontmatter with a `summary` field. The summary should be concise enough to determine whether to read the full content.

**Required:**
```yaml
---
summary: "1-2 line description of what this memory contains"
created: 2025-01-15  # YYYY-MM-DD format
---
```

**Optional:**
```yaml
---
summary: "Worker thread memory leak during large file processing - cause and solution"
created: 2025-01-15
updated: 2025-01-20
tags: [performance, worker, memory-leak]
related: [src/core/file/fileProcessor.ts]
---
```

## Search Workflow

Use summary-first approach to efficiently find relevant memories:

```bash
# 1. List categories
ls .claude/skills/agent-memory/memories/

# 2. View all summaries
rg "^summary:" .claude/skills/agent-memory/memories/ --no-ignore --hidden

# 3. Search summaries for keyword
rg "^summary:.*keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i

# 4. Search by tag
rg "^tags:.*keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i

# 5. Full-text search (when summary search isn't enough)
rg "keyword" .claude/skills/agent-memory/memories/ --no-ignore --hidden -i

# 6. Read specific memory file if relevant
```

**Note:** Memory files are gitignored, so use `--no-ignore` and `--hidden` flags with ripgrep.

## Operations

### Save

1. Determine appropriate category for the content
2. Check if existing category fits, or create new one
3. Write file with required frontmatter (use `date +%Y-%m-%d` for current date)

```bash
mkdir -p .claude/skills/agent-memory/memories/category-name/
# Note: Check if file exists before writing to avoid accidental overwrites
cat > .claude/skills/agent-memory/memories/category-name/filename.md << 'EOF'
---
summary: "Brief description of this memory"
created: 2025-01-15
---

# Title

Content here...
EOF
```

### Maintain

- **Update**: When information changes, update the content and add `updated` field to frontmatter
- **Delete**: Remove memories that are no longer relevant
  ```bash
  trash .claude/skills/agent-memory/memories/category-name/filename.md
  # Remove empty category folders
  rmdir .claude/skills/agent-memory/memories/category-name/ 2>/dev/null || true
  ```
- **Consolidate**: Merge related memories when they grow
- **Reorganize**: Move memories to better-fitting categories as the knowledge base evolves

## Guidelines

1. **Write for your future self**: Include enough context to be useful later
2. **Keep summaries decisive**: Reading the summary should tell you if you need the details
3. **Stay current**: Update or delete outdated information
4. **Be practical**: Save what's actually useful, not everything