--- name: lpm-memory version: 1.6.0 argument-hint: "[session-id]" description: "Shared project memory for AI coding agents: save or recall work-session logs in `~/.lpm/memory//.md` so another agent CLI (Claude Code, Codex, Gemini) or a future session can continue the work by session name. Invoke with a session id (e.g. `/lpm-memory auth-refactor`) to continue that session. Use when the user asks to remember or save the session or progress, hand off work, record what was done, or recall/continue/resume/join a named work session. This is per-project memory shared between agent CLIs — distinct from any CLI's own built-in memory." --- Project memory lives in one folder per project, shared by every agent CLI. Resolve that folder in this order: 1. `$LPM_MEMORY_DIR`, which lpm sets for every terminal it opens — always use it when set. 2. `~/.lpm/memory/` where `` comes from `lpm project --json`: its `parentName`, or its `name` when `parentName` is empty. 3. Without the `lpm` CLI, `~/.lpm/memory/` where `` is `$LPM_PROJECT_NAME`, else the main checkout's folder name (`basename "$(dirname "$(cd "$(git rev-parse --git-common-dir)" && pwd)")"`, so a Git worktree resolves to the repository it belongs to), else the working directory's folder name. A duplicate of a project shares the original's memory — same codebase, and the copy is disposable — so never derive a folder of its own from a copy's name or path. `` is a kebab-case slug for one workstream (e.g. `auth-refactor`); each file is both the current handoff state and the work history. Invocation: - `/lpm-memory ` — Recall that session and continue it. Unknown id: offer close matches, or create it. - No argument — Remember work already done in this conversation; at the very start of one, pick or create the session instead. - Either way, keep the memory current from then on without being asked: append a timeline entry and refresh `## Current state` after each milestone and when the user wraps up. ## Remember (save / hand off) 1. Session slug: the user's name for it, else the one existing file that matches the work, else derive one and confirm it before writing. 2. Create the folder if missing. Seed a new file with: ```markdown # ## Goal ## Current state ## Timeline ``` 3. Re-read the file right before writing — another agent may have saved meanwhile. If it changed since you last read it, keep their changes: append your timeline entry after theirs and fold both realities into `## Current state`. 4. Rewrite `## Current state` to match reality now. 5. Append a new entry at the end of `## Timeline`. The timeline is strictly append-only: never edit or delete an existing entry — not even your own from earlier in the same conversation. Each entry covers only what happened since the previous save: ```markdown ### — - Done: what shipped or changed, in outcome terms - Decided: choices made and why, including approaches tried and dropped - Learned: surprises and gotchas the next agent must know - Open: unresolved questions / blockers - Next: unfinished work / immediate next step ``` `` = your CLI name (claude, codex, ...), local time. Drop empty lines; keep it brief. 6. Compaction — the one exception to append-only: when the timeline exceeds ten entries, condense the oldest into a single digest entry `### Archived through ` kept first in `## Timeline`; keep the newest five entries verbatim. Condense only — preserve every decision and gotcha that still matters, never reinterpret, and fold into the existing digest on later compactions. ## Recall (continue / join) 1. List the project memory folder's `*.md`; read the named session, or show the list (name, last modified, goal line) and ask which one. 2. `## Current state` is the source of truth; the newest timeline entries carry the freshest detail. Read those first — reach for older entries and the archive digest only when the work needs that history. 3. State the next step you inferred, confirm direction, then continue — and Remember at the next stopping point.