memory
Use LycheeMem as Claude Code's structured long-term memory for prior conversations, user preferences, project decisions, timelines, and durable facts.
npx skills add LycheeMem/LycheeMem --skill memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LycheeMem Memory Use LycheeMem as the primary structured long-term memory layer inside Claude Code. When the answer depends on earlier conversations, historical facts, entity relationships, project background, user preferences, reusable workflows, or timeline reconstruction, prefer LycheeMem first. Do not wait for the user to explicitly say `lycheemem`, `memory`, or `smart_search`. ## Default Priority Use this order for long-horizon recall: 1. `mcp__lycheemem__lychee_memory_smart_search` 2. answer using the returned `background_context` 3. `mcp__lycheemem__lychee_memory_consolidate` when important durable knowledge was added or clarified Treat `lychee_memory_smart_search` as the normal recall path. Treat `lychee_memory_search` as a debugging tool, not the normal path. ## When Smart Search Is Expected Call `mcp__lycheemem__lychee_memory_smart_search` before answering when any of the following is true: - the user asks about previous dialogue, prior sessions, or historical context - the user asks who, when, where, why, or how about a person, relationship, event, preference, or decision that was not stated in the current message - the answer requires reconstructing a timeline or reso
- Default Priority
- When Smart Search Is Expected
- How To Use The Result
- Consolidation Rules
- Manual Invocation Pattern
What does the memory skill do?
Use LycheeMem as Claude Code's structured long-term memory for prior conversations, user preferences, project decisions, timelines, and durable facts.
How do I install it?
Run `npx skills add LycheeMem/LycheeMem --skill memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LycheeMem/LycheeMem, a repository with 1,164 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.