Store and retrieve knowledge across conversations using a dedicated memory filesystem.
npx skills add https://github.com/yuch4/dx-selecta --skill agent-memory-yuch4
Please help me install this Agent Skill. Skill: agent-memory Source: https://github.com/yuch4/dx-selecta/tree/main/.claude/skills/agent-memory Command: npx skills add https://github.com/yuch4/dx-selecta --skill agent-memory-yuch4
This skill stores knowledge from conversations and makes it searchable later, enabling continuity and faster onboarding.
Use phrases like "Remember this: ..." to save a memory and "Recall memory about ..." to fetch it. For manual memory creation, place a note in .claude/skills/agent-memory/memories/.
High-intent search queries and answers about installing and using this skill.
To persist knowledge across conversations, you can save discoveries, notes, and contextual details using specific recall phrases or by manually placing files into a dedicated memories filesystem.
Yes, you can retrieve conversation history by issuing a recall command. This fetches stored memories from the filesystem to inform ongoing conversations and accelerate onboarding.
Saved memories are organized under a clear folder structure within a dedicated memories directory, ensuring easy navigation and quick retrieval when you need to recall specific context.
The best way to store discoveries is using natural phrases like 'Remember this' to trigger automatic memory saving, or by manually creating notes in the designated memories directory.
No external dependencies are required. Memory persistence and retrieval operate entirely through a self-contained filesystem structure under the agent-memory directory.
Using a filesystem for conversation history means memory retrieval relies on file-based search rather than a database, making it best suited for contextual notes and discoveries rather than high-volume data.
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