agent-memory

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

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "agent-memory" with this command: npx skills add s-hiraoku/synapse-a2a/s-hiraoku-synapse-a2a-agent-memory

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

  • In-progress work that may be resumed later

Check memories when starting related work:

  • Before investigating a problem area

  • When working on a feature you've touched before

  • When resuming work after a conversation break

Organize memories when needed:

  • Consolidate scattered memories on the same topic

  • Remove outdated or superseded information

  • Update status field when work completes, gets blocked, or is abandoned

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:

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:


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

Optional:


summary: "Worker thread memory leak during large file processing - cause and solution" created: 2025-01-15 updated: 2025-01-20 status: in-progress # in-progress | resolved | blocked | abandoned tags: [performance, worker, memory-leak] related: [src/core/file/fileProcessor.ts]

Search Workflow

Use summary-first approach to efficiently find relevant memories:

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

  • Determine appropriate category for the content

  • Check if existing category fits, or create new one

  • Write file with required frontmatter (use date +%Y-%m-%d for current date)

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 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

  • Write self-contained notes: Include full context so the reader needs no prior knowledge to understand and act on the content

  • Keep summaries decisive: Reading the summary should tell you if you need the details

  • Stay current: Update or delete outdated information

  • Be practical: Save what's actually useful, not everything

Content Reference

When writing detailed memories, consider including:

  • Context: Goal, background, constraints

  • State: What's done, in progress, or blocked

  • Details: Key files, commands, code snippets

  • Next steps: What to do next, open questions

Not all memories need all sections - use what's relevant.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

opencode-expert

No summary provided by upstream source.

Repository SourceNeeds Review
General

synapse-a2a

No summary provided by upstream source.

Repository SourceNeeds Review
General

synapse-reinst

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

code-quality

No summary provided by upstream source.

Repository SourceNeeds Review