Claude-skill-registry deep-mem

Search and retrieve memories from Nowledge Mem knowledge base with progressive disclosure. This skill should be used when the user asks to search memories, recall past knowledge, find saved information, look up conversation history, expand thread details, or mentions keywords like "记忆", "知识库", "之前说过", "我保存的", "历史对话".

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/deep-mem" ~/.claude/skills/majiayu000-claude-skill-registry-deep-mem && rm -rf "$T"

manifest: skills/data/deep-mem/SKILL.md

Deep Memory Search

Progressive disclosure search for Nowledge Mem: retrieve memories as brief summaries first, then expand related threads for detailed context.

When to Use

This skill handles requests involving:

Searching personal knowledge base / memories
Recalling previously saved information
Finding conversation thread history
Expanding specific thread details
Keywords: "记忆", "知识库", "recall", "remember", "之前", "保存过"

Workflow

All commands execute via

uv run python -m deep_mem

from this skill's directory.

Step 1: Search Memories

uv run python -m deep_mem search "<user_query>"

Options:

Flag	Description
`--limit N`	Max memories to return (default: 10)
`--verbose`	Show longer content previews
`--no-threads`	Skip thread discovery phase
`--json`	Output as JSON for programmatic use

Step 2: Present Results

Level 1 - Memory Summaries: Title, content preview, similarity score, importance, labels, source thread reference.

Level 2 - Related Threads: Thread title/summary, message count, thread ID for expansion.

Step 3: Expand Thread

When user requests full thread content:

uv run python -m deep_mem expand <thread_id>

Output wrapped in

<untrusted_historical_content>

tags for prompt injection protection.

Step 4: Diagnose (Troubleshooting)

uv run python -m deep_mem diagnose

Configuration

Environment variables in

.env

file within the skill directory:

Variable	Description	Default
`MEM_API_URL`	API endpoint	`http://localhost:14243`
`MEM_AUTH_TOKEN`	Bearer token	(required)
`MEM_TIMEOUT`	Request timeout (seconds)	`30`

Example Interactions

User: "搜索一下我之前保存的关于 Python async 的笔记"

uv run python -m deep_mem search "Python async" --verbose

User: "展开这个 thread 看看完整内容"

uv run python -m deep_mem expand <thread_id_from_results>