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Deep Memory Search
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...
SKILL.md
Full skill instructions
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>
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