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mempal-memory
Search and record durable engineering knowledge with the mempal CLI, before and after coding work.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Search and record durable engineering knowledge with the mempal CLI, before and after coding work.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | mempal-memory |
| description | Search and record durable engineering knowledge with the mempal CLI, before and after coding work. |
This environment has a persistent memory database that survives across tasks, reachable through
the mempal CLI (already installed, on PATH). Run it with your normal shell tool — there is no
MCP server, and you need exactly two commands.
mempal search "<key terms of the task>" --json --top-k 5
Run it once, at the start, with the task's key terms (framework, API, error message, symptom). Empty results are a normal outcome — continue with the task and do not investigate the memory database. Treat any hit as evidence, not authority: verify it against the current repository before acting on it.
If the work produced a durable engineering decision or a reusable debugging lesson, write a short markdown note and ingest it:
cat > "$HOME/.mempal-notes/<short-slug>.md" <<'EOF'
# <one-line title>
<what was decided or learned, and why — 2-5 sentences, enough for a future task to act on it>
EOF
mempal ingest "$HOME/.mempal-notes" --wing memory-evals
Only mempal search and mempal ingest are needed. Do not call other mempal subcommands
(status, projects, brief, phase3, knowledge*, cowork-*): they print format
specifications and protocol dumps that cost context and tell you nothing about this task.
Never store benchmark answers, accepted proposal numbers, hidden-test guesses, raw transcripts, or task-specific output that would reveal the answer if the same task is run again. Record the reusable why, not the answer. If nothing reusable was decided, do not invent a note.